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Yefeng Zheng 0001

郑冶枫

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unicode name: 郑冶枫
affiliation: Tencent, Jarvis Lab, Shenzhen, China
affiliation (2006 - 2017): Siemens Corporate Research, Princeton, NJ, USA
affiliation (PhD 2005): University of Maryland, College Park, MD, USA

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2024
[j89]
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Yuexiang Li, Yanping Wang, Guang Lin, Yawen Huang, Jingxin Liu, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Zhiqiang Zhang, Guangming Lu, Yefeng Zheng:
Triplet-branch network with contrastive prior-knowledge embedding for disease grading. Artif. Intell. Medicine 149: 102801 (2024)
[j88]
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Ziqiang Wang, Kun Wang, Xiaozhong Chen, Yefeng Zheng, Xian Wu:
A deep learning approach for inter-patient classification of premature ventricular contraction from electrocardiogram. Biomed. Signal Process. Control. 94: 106265 (2024)
[j87]
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Guoyang Xie, Yawen Huang, Jin-Bao Wang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin:
Cross-modality Neuroimage Synthesis: A Survey. ACM Comput. Surv. 56(3): 80:1-80:28 (2024)
[j86]
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Yawen Huang, Hao Zheng, Yuexiang Li, Feng Zheng, Xiantong Zhen, Guo-Jun Qi, Ling Shao, Yefeng Zheng:
Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis. Int. J. Comput. Vis. 132(11): 4937-4953 (2024)
[j85]
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Haoran Duan, Shidong Wang, Varun Ojha, Shizheng Wang, Yawen Huang, Yang Long, Rajiv Ranjan, Yefeng Zheng:
Wearable-based behaviour interpolation for semi-supervised human activity recognition. Inf. Sci. 665: 120393 (2024)
[j84]
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Jiageng Wu, Xian Wu, Zhaopeng Qiu, Minghui Li, Shixu Lin, Yingying Zhang, Yefeng Zheng, Changzheng Yuan, Jie Yang:
Large language models leverage external knowledge to extend clinical insight beyond language boundaries. J. Am. Medical Informatics Assoc. 31(9): 2054-2064 (2024)
[j83]
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Yuexiang Li, Yawen Huang, Nanjun He, Kai Ma, Yefeng Zheng:
Improving vision transformer for medical image classification via token-wise perturbation. J. Vis. Commun. Image Represent. 98: 104022 (2024)
[j82]
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Hong Liu, Dong Wei, Donghuan Lu, Xiaoying Tang, Liansheng Wang, Yefeng Zheng:
Simultaneous alignment and surface regression using hybrid 2D-3D networks for 3D coherent layer segmentation of retinal OCT images with full and sparse annotations. Medical Image Anal. 91: 103019 (2024)
[j81]
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Zhe Xu, Donghuan Lu, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong:
Separated collaborative learning for semi-supervised prostate segmentation with multi-site heterogeneous unlabeled MRI data. Medical Image Anal. 93: 103095 (2024)
[j80]
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Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng:
Hybrid unsupervised representation learning and pseudo-label supervised self-distillation for rare disease imaging phenotype classification with dispersion-aware imbalance correction. Medical Image Anal. 93: 103102 (2024)
[j79]
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Tianwei Zhang, Dong Wei, Mengmeng Zhua, Shi Gu, Yefeng Zheng:
Self-supervised learning for medical image data with anatomy-oriented imaging planes. Medical Image Anal. 94: 103151 (2024)
[j78]
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Ziyun Cai, Yawen Huang, Tengfei Zhang, Xiao-Yuan Jing, Yefeng Zheng, Ling Shao:
Attention Cycle-consistent universal network for More Universal Domain Adaptation. Pattern Recognit. 147: 110109 (2024)
[j77]
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Wentian Zhang, Haozhe Liu, Jinheng Xie, Yawen Huang, Yu Zhang, Yuexiang Li, Raghavendra Ramachandra, Yefeng Zheng:
Anomaly detection via gating highway connection for retinal fundus images. Pattern Recognit. 148: 110167 (2024)
[j76]
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Chuyan Zhang, Yuncheng Yang, Hao Zheng, Yawen Huang, Yefeng Zheng, Yun Gu:
Affine Collaborative Normalization: A shortcut for adaptation in medical image analysis. Pattern Recognit. 153: 110528 (2024)
[j75]
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Xingyu Miao, Yang Bai, Haoran Duan, Fan Wan, Yawen Huang, Yang Long, Yefeng Zheng:
CTNeRF: Cross-time Transformer for dynamic neural radiance field from monocular video. Pattern Recognit. 156: 110729 (2024)
[j74]
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Xingyu Miao, Yang Bai, Haoran Duan, Yawen Huang, Fan Wan, Xinxing Xu, Yang Long, Yefeng Zheng:
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2564-2576 (2024)
[j73]
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Yi Lin, Yanfei Liu, Hao Chen, Xin Yang, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng:
LENAS: Learning-Based Neural Architecture Search and Ensemble for 3-D Radiotherapy Dose Prediction. IEEE Trans. Cybern. 54(10): 5795-5805 (2024)
[j72]
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Feiyang Yang, Xiongfei Li, Haoran Duan, Feilong Xu, Yawen Huang, Xiaoli Zhang, Yang Long, Yefeng Zheng:
MRL-Seg: Overcoming Imbalance in Medical Image Segmentation With Multi-Step Reinforcement Learning. IEEE J. Biomed. Health Informatics 28(2): 858-869 (2024)
[j71]
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Qingsong Xie, Yuexiang Li, Nanjun He, Munan Ning, Kai Ma, Guoxing Wang, Yong Lian, Yefeng Zheng:
Unsupervised Domain Adaptation for Medical Image Segmentation by Disentanglement Learning and Self-Training. IEEE Trans. Medical Imaging 43(1): 4-14 (2024)
[j70]
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Hong Wang, Qi Xie, Dong Zeng, Jianhua Ma, Deyu Meng, Yefeng Zheng:
OSCNet: Orientation-Shared Convolutional Network for CT Metal Artifact Learning. IEEE Trans. Medical Imaging 43(1): 489-502 (2024)
[j69]
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Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
Adversarial Medical Image With Hierarchical Feature Hiding. IEEE Trans. Medical Imaging 43(4): 1296-1307 (2024)
[j68]
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Quanziang Wang, Renzhen Wang, Yuexiang Li, Dong Wei, Hong Wang, Kai Ma, Yefeng Zheng, Deyu Meng:
Relational Experience Replay: Continual Learning by Adaptively Tuning Task-Wise Relationship. IEEE Trans. Multim. 26: 9683-9698 (2024)
[j67]
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Shuai Lin, Chen Liu, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang:
Prototypical Graph Contrastive Learning. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2747-2758 (2024)
[j66]
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Hong Wang, Qi Xie, Qian Zhao, Yuexiang Li, Yong Liang, Yefeng Zheng, Deyu Meng:
RCDNet: An Interpretable Rain Convolutional Dictionary Network for Single Image Deraining. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8668-8682 (2024)
[j65]
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Hao Yang, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen:
Distributional Fairness-aware Recommendation. ACM Trans. Inf. Syst. 42(5): 131:1-131:28 (2024)
[c246]
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Qi Bi, Jingjun Yi, Hao Zheng, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng:
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries. AAAI 2024: 810-818
[c245]
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Qian Dai, Dong Wei, Hong Liu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation. AAAI 2024: 1445-1453
[c244]
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Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Yefeng Zheng:
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation. AAAI 2024: 2330-2338
[c243]
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  - conf/aaai/ChengLWLOLW024
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Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, Yefeng Zheng:
Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal. AAAI 2024: 17853-17861
[c242]
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Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann:
Federated Learning via Input-Output Collaborative Distillation. AAAI 2024: 22058-22066
[c241]
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Rui Zhang, Dawei Cheng, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng, Changjun Jiang:
Pre-trained Online Contrastive Learning for Insurance Fraud Detection. AAAI 2024: 22511-22519
[c240]
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  - conf/acl/WangZ0024
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Huimin Wang, Yutian Zhao, Xian Wu, Yefeng Zheng:
imapScore: Medical Fact Evaluation Made Easy. ACL (Findings) 2024: 10242-10257
[c239]
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Zhihong Zhu, Yunyan Zhang, Xuxin Cheng, Zhiqi Huang, Derong Xu, Xian Wu, Yefeng Zheng:
Alignment before Awareness: Towards Visual Question Localized-Answering in Robotic Surgery via Optimal Transport and Answer Semantics. LREC/COLING 2024: 711-721
[c238]
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Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng:
Biomedical Entity Linking as Multiple Choice Question Answering. LREC/COLING 2024: 2390-2396
[c237]
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Wai-Chung Kwan, Huimin Wang, Hongru Wang, Zezhong Wang, Bin Liang, Xian Wu, Yefeng Zheng, Kam-Fai Wong:
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialogue Policy Learning. LREC/COLING 2024: 9578-9588
[c236]
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Yingying Zhang, Xian Wu, Yu Zhang, Yefeng Zheng:
Knowledge-aware Attention Network for Medication Effectiveness Prediction. LREC/COLING 2024: 9799-9809
[c235]
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Yutian Zhao, Huimin Wang, Xian Wu, Yefeng Zheng:
MKeCL: Medical Knowledge-Enhanced Contrastive Learning for Few-shot Disease Diagnosis. LREC/COLING 2024: 11394-11404
[c234]
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Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen:
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. LREC/COLING 2024: 11956-11968
[c233]
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Jiangbo Shi, Chen Li, Tieliang Gong, Yefeng Zheng, Huazhu Fu:
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification. CVPR 2024: 11248-11258
[c232]
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Jinheng Xie, Songhe Deng, Bing Li, Haozhe Liu, Yawen Huang, Yefeng Zheng, Jürgen Schmidhuber, Bernard Ghanem, Linlin Shen, Mike Zheng Shou:
Tune-an-Ellipse: CLIP Has Potential to Find what you Want. CVPR 2024: 13723-13732
[c231]
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Huimin Huang, Yawen Huang, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hao Zheng, Yuexiang Li, Yefeng Zheng:
Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models. CVPR 2024: 28181-28190
[c230]
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Zhihong Zhu, Kefan Shen, Zhaorun Chen, Yunyan Zhang, Yuyan Chen, Xiaoqi Jiao, Zhongwei Wan, Shaorong Xie, Wei Liu, Xian Wu, Yefeng Zheng:
DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection. EMNLP 2024: 2900-2912
[c229]
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Qi Bi, Hao Zheng, Xu Sun, Jingjun Yi, Wentian Zhang, Yawen Huang, Yuexiang Li, Yefeng Zheng:
Self-Supervised Cross-Level Consistency Learning For Fundus Image Classification. ICASSP 2024: 1781-1785
[c228]
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Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng:
Improving Biomedical Entity Linking with Retrieval-Enhanced Learning. ICASSP 2024: 11461-11465
[c227]
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Yichen Wu, Hong Wang, Peilin Zhao, Yefeng Zheng, Ying Wei, Long-Kai Huang:
Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization. ICML 2024
[c226]
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Zhihong Zhu, Xianwei Zhuang, Yunyan Zhang, Derong Xu, Guimin Hu, Xian Wu, Yefeng Zheng:
TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing. IJCAI 2024: 6687-6695
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Jiasheng Wu, Xin Liu, Dawei Cheng, Yi Ouyang, Xian Wu, Yefeng Zheng:
Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach. IJCAI 2024: 7500-7508
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Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Zheng, Quanzheng Li, Raymond Kai-Yu Tong:
FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation. MICCAI (8) 2024: 294-304
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Zhihong Zhu, Xuxin Cheng, Yunyan Zhang, Zhaorun Chen, Qingqing Long, Hongxiang Li, Zhiqi Huang, Xian Wu, Yefeng Zheng:
Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation. MICCAI (3) 2024: 303-313
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Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. MICCAI (4) 2024: 318-328
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Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Hao Zheng, Yefeng Zheng, Liansheng Wang:
Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets. MICCAI (9) 2024: 372-382
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Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Shaoxin Li, Yuexiang Li, Yefeng Zheng, Feiyue Huang:
Hallucinated Style Distillation for Single Domain Generalization in Medical Image Segmentation. MICCAI (10) 2024: 438-448
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Conghao Xiong, Yi Lin, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification. MICCAI (4) 2024: 503-513
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Zhihong Zhu, Xuxin Cheng, Zhaorun Chen, Yuyan Chen, Yunyan Zhang, Xian Wu, Yefeng Zheng, Bowen Xing:
InMu-Net: Advancing Multi-modal Intent Detection via Information Bottleneck and Multi-sensory Processing. ACM Multimedia 2024: 515-524
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Zhanpeng Chen, Zhihong Zhu, Wanshi Xu, Yunyan Zhang, Xian Wu, Yefeng Zheng:
Aspects are Anchors: Towards Multimodal Aspect-based Sentiment Analysis via Aspect-driven Alignment and Refinement. ACM Multimedia 2024: 2292-2300
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Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng:
Learning Spectral-Decomposited Tokens for Domain Generalized Semantic Segmentation. ACM Multimedia 2024: 8159-8168
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Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng:
When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications. SIGIR 2024: 1104-1114
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Lei Wang, Chen Ma, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen:
Causally Debiased Time-aware Recommendation. WWW 2024: 3331-3342
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Xi Sheryl Zhang, Weifan Guan, Jiahao Lu, Zhaopeng Qiu, Jian Cheng, Xian Wu, Yefeng Zheng:
GraphLeak: Patient Record Leakage through Gradients with Knowledge Graph. WWW 2024: 4706-4716
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Xingyu Miao, Yang Bai, Haoran Duan, Yawen Huang, Fan Wan, Yang Long, Yefeng Zheng:
CTNeRF: Cross-Time Transformer for Dynamic Neural Radiance Field from Monocular Video. CoRR abs/2401.04861 (2024)
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Xingyu Miao, Yang Bai, Haoran Duan, Fan Wan, Yawen Huang, Yang Long, Yefeng Zheng:
ConRF: Zero-shot Stylization of 3D Scenes with Conditioned Radiation Fields. CoRR abs/2402.01950 (2024)
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Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Zijian Zhang, Feng Tian, Yefeng Zheng:
Large Language Model Distilling Medication Recommendation Model. CoRR abs/2402.02803 (2024)
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Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng:
Biomedical Entity Linking as Multiple Choice Question Answering. CoRR abs/2402.15189 (2024)
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Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen:
Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. CoRR abs/2402.18099 (2024)
[i161]
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Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen:
Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. CoRR abs/2403.01972 (2024)
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Jiageng Wu, Xian Wu, Yefeng Zheng, Jie Yang:
MedKP: Medical Dialogue with Knowledge Enhancement and Clinical Pathway Encoding. CoRR abs/2403.06611 (2024)
[i159]
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Rui Zhang, Dawei Cheng, Xin Liu, Jie Yang, Yi Ouyang, Xian Wu, Yefeng Zheng:
Generation is better than Modification: Combating High Class Homophily Variance in Graph Anomaly Detection. CoRR abs/2403.10339 (2024)
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Qian Dai, Dong Wei, Hong Liu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
Federated Modality-specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation. CoRR abs/2403.11803 (2024)
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Tianwei Zhang, Dong Wei, Mengmeng Zhua, Shi Gu, Yefeng Zheng:
Self-Supervised Learning for Medical Image Data with Anatomy-Oriented Imaging Planes. CoRR abs/2403.16499 (2024)
[i156]
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Peng Tu, Xun Zhou, Mingming Wang, Xiaojun Yang, Bo Peng, Ping Chen, Xiu Su, Yawen Huang, Yefeng Zheng, Chang Xu:
NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization. CoRR abs/2404.04875 (2024)
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Jinheng Xie, Jiajun Feng, Zhaoxu Tian, Kevin Qinghong Lin, Yawen Huang, Xi Xia, Nanxu Gong, Xu Zuo, Jiaqi Yang, Yefeng Zheng, Mike Zheng Shou:
Learning Long-form Video Prior via Generative Pre-Training. CoRR abs/2404.15909 (2024)
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Jie Hu, Yawen Huang, Yilin Lu, Guoyang Xie, Guannan Jiang, Yefeng Zheng, Zhichao Lu:
AnomalyXFusion: Multi-modal Anomaly Synthesis with Diffusion. CoRR abs/2404.19444 (2024)
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Haoran Duan, Shidong Wang, Varun Ojha, Shizheng Wang, Yawen Huang, Yang Long, Rajiv Ranjan, Yefeng Zheng:
Wearable-based behaviour interpolation for semi-supervised human activity recognition. CoRR abs/2405.15962 (2024)
[i152]
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Hongwei Bran Li, Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler, Suprosanna Shit, Diana Waldmannstetter, Johannes C. Paetzold, Xiaobin Hu, Benedikt Wiestler, Lucas Zimmer, Tamaz Amiranashvili, Chinmay Prabhakar, Christoph Berger, Jonas Weidner, Michelle Alonso-Basanta, Arif Rashid, Ujjwal Baid, Wesam Adel, Deniz Alis, Bhakti Baheti, Yingbin Bai, Ishaan Bhat, Sabri Can Cetindag, Wenting Chen, Li Cheng, Prasad Dutande, Lara Dular, Mustafa A. Elattar, Ming Feng, Shengbo Gao, Henkjan Huisman, Weifeng Hu, Shubham Innani, Wei Jiat, Davood Karimi, Hugo J. Kuijf, Jin Tae Kwak, Hoang Long Le, Xiang Lia, Huiyan Lin, Tongliang Liu, Jun Ma, Kai Ma, Ting Ma, Ilkay Öksüz, Robbie Holland, Arlindo L. Oliveira, Jimut Bahan Pal, Xuan Pei, Maoying Qiao, Anindo Saha, Raghavendra Selvan, Linlin Shen, João Lourenço Silva, Ziga Spiclin, Sanjay N. Talbar, Dadong Wang, Wei Wang, Xiong Wang, Yin Wang, Ruiling Xia, Kele Xu, Yanwu Yan, Mert Yergin, Shuang Yu, Lingxi Zeng, YingLin Zhang, Jiachen Zhao, Yefeng Zheng, Martin Zukovec, Richard K. G. Do, Anton S. Becker, Amber L. Simpson, Ender Konukoglu, András Jakab, Spyridon Bakas, Leo Joskowicz, Bjoern H. Menze:
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge. CoRR abs/2405.18435 (2024)
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Qidong Liu, Xian Wu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng:
Large Language Models Enhanced Sequential Recommendation for Long-tail User and Item. CoRR abs/2405.20646 (2024)
[i150]
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Yumin Zhang, Hongliu Li, Yajun Gao, Haoran Duan, Yawen Huang, Yefeng Zheng:
Prototype Correlation Matching and Class-Relation Reasoning for Few-Shot Medical Image Segmentation. CoRR abs/2406.05054 (2024)
[i149]
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Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. CoRR abs/2406.09696 (2024)
[i148]
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Yi Cheng, Wenge Liu, Kaishuai Xu, Wenjun Hou, Yi Ouyang, Chak Tou Leong, Xian Wu, Yefeng Zheng:
Evolving to be Your Soulmate: Personalized Dialogue Agents with Dynamically Adapted Personas. CoRR abs/2406.13960 (2024)
[i147]
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  - journals/corr/abs-2407-02283
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Minghao Zhou, Hong Wang, Yefeng Zheng, Deyu Meng:
A Refreshed Similarity-based Upsampler for Direct High-Ratio Feature Upsampling. CoRR abs/2407.02283 (2024)
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Jingjun Yi, Qi Bi, Hao Zheng, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Yefeng Zheng:
Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation. CoRR abs/2407.18568 (2024)
[i145]
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  - journals/corr/abs-2409-19925
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Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng:
Large Language Model Empowered Embedding Generator for Sequential Recommendation. CoRR abs/2409.19925 (2024)
[i144]
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  - journals/corr/abs-2410-01573
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Chuyan Zhang, Hao Zheng, Xin You, Yefeng Zheng, Yun Gu:
PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation. CoRR abs/2410.01573 (2024)
2023
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Meng Wang, Yinghui Shi, Han Yang, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Probing the Impacts of Visual Context in Multimodal Entity Alignment. Data Sci. Eng. 8(2): 124-134 (2023)
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Jinbao Wang, Guoyang Xie, Yawen Huang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin:
FedMed-GAN: Federated domain translation on unsupervised cross-modality brain image synthesis. Neurocomputing 546: 126282 (2023)
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Qi Bi, Xu Sun, Shuang Yu, Kai Ma, Cheng Bian, Munan Ning, Nanjun He, Yawen Huang, Yuexiang Li, Hanruo Liu, Yefeng Zheng:
MIL-ViT: A multiple instance vision transformer for fundus image classification. J. Vis. Commun. Image Represent. 97: 103956 (2023)
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Zeyu Gao, Bangyang Hong, Yang Li, Xianli Zhang, Jialun Wu, Chunbao Wang, Xiangrong Zhang, Tieliang Gong, Yefeng Zheng, Deyu Meng, Chen Li:
A semi-supervised multi-task learning framework for cancer classification with weak annotation in whole-slide images. Medical Image Anal. 83: 102652 (2023)
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Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Editorial for the MEDIA MICCAI special issue 2021. Medical Image Anal. 83: 102695 (2023)
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Hong Wang, Yuexiang Li, Haimiao Zhang, Deyu Meng, Yefeng Zheng:
InDuDoNet+: A deep unfolding dual domain network for metal artifact reduction in CT images. Medical Image Anal. 85: 102729 (2023)
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Zhe Xu, Yixin Wang, Donghuan Lu, Xiangde Luo, Jiangpeng Yan, Yefeng Zheng, Raymond Kai-Yu Tong:
Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation. Medical Image Anal. 88: 102880 (2023)
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Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng:
Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training. Medical Image Anal. 89: 102933 (2023)
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Yuxuan Shi, Hong Wang, Haoqin Ji, Haozhe Liu, Yuexiang Li, Nanjun He, Dong Wei, Yawen Huang, Qi Dai, Jianrong Wu, Xinrong Chen, Yefeng Zheng, Hongmeng Yu:
A deep weakly semi-supervised framework for endoscopic lesion segmentation. Medical Image Anal. 90: 102973 (2023)
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Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network. Nat. Comput. Sci. 3(12): 1023-1033 (2023)
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Fenglin Liu, Tingting Zhu, Xian Wu, Bang Yang, Chenyu You, Chenyang Wang, Lei Lu, Zhangdaihong Liu, Yefeng Zheng, Xu Sun, Yang Yang, Lei A. Clifton, David A. Clifton:
A medical multimodal large language model for future pandemics. npj Digit. Medicine 6 (2023)
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Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan:
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13553-13566 (2023)
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Le Zhang, Ryutaro Tanno, Moucheng Xu, Yawen Huang, Kevin Bronik, Chen Jin, Joseph Jacob, Yefeng Zheng, Ling Shao, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander:
Learning from multiple annotators for medical image segmentation. Pattern Recognit. 138: 109400 (2023)
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Hexiang Zhou, Yawen Huang, Yuexiang Li, Yi Zhou, Yefeng Zheng:
Blind Super-Resolution of 3D MRI via Unsupervised Domain Transformation. IEEE J. Biomed. Health Informatics 27(3): 1409-1418 (2023)
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Zeyu Gao, Anyu Mao, Kefei Wu, Yang Li, Liebin Zhao, Xianli Zhang, Jialun Wu, Lisha Yu, Chao Xing, Tieliang Gong, Yefeng Zheng, Deyu Meng, Min Zhou, Chen Li:
Childhood Leukemia Classification via Information Bottleneck Enhanced Hierarchical Multi-Instance Learning. IEEE Trans. Medical Imaging 42(8): 2348-2359 (2023)
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Jingyang Zhang, Ran Gu, Peng Xue, Mianxin Liu, Hao Zheng, Yefeng Zheng, Lei Ma, Guotai Wang, Lixu Gu:
S³R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites. IEEE Trans. Medical Imaging 42(9): 2539-2551 (2023)
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Jiangbo Shi, Lufei Tang, Yang Li, Xianli Zhang, Zeyu Gao, Yefeng Zheng, Chunbao Wang, Tieliang Gong, Chen Li:
A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image. IEEE Trans. Medical Imaging 42(10): 3000-3011 (2023)
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Bo Liu, Donghuan Lu, Dong Wei, Xian Wu, Yan Wang, Yu Zhang, Yefeng Zheng:
Improving Medical Vision-Language Contrastive Pretraining With Semantics-Aware Triage. IEEE Trans. Medical Imaging 42(12): 3579-3589 (2023)
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Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Hong Wang, Yuexiang Li, Yawen Huang, Yefeng Zheng:
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation. AAAI 2023: 917-925
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Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities. AAAI 2023: 1657-1665
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Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng:
Combating Mode Collapse via Offline Manifold Entropy Estimation. AAAI 2023: 8834-8842
[c209]
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Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu:
Identify Event Causality with Knowledge and Analogy. AAAI 2023: 13745-13753
[c208]
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Sheng Xiang, Mingzhi Zhu, Dawei Cheng, Enxia Li, Ruihui Zhao, Yi Ouyang, Ling Chen, Yefeng Zheng:
Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation. AAAI 2023: 14557-14565
[c207]
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Huimin Wang, Wai-Chung Kwan, Kam-Fai Wong, Yefeng Zheng:
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation. ACL (1) 2023: 6348-6361
[c206]
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Hanchong Zhang, Jieyu Li, Lu Chen, Ruisheng Cao, Yunyan Zhang, Yu Huang, Yefeng Zheng, Kai Yu:
CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset. ACL (Findings) 2023: 6970-6983
[c205]
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Huimin Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Hong Wang, Yawen Huang, Yefeng Zheng:
SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation. CVPR 2023: 11340-11349
[c204]
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Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng:
AdaptiveMix: Improving GAN Training via Feature Space Shrinkage. CVPR 2023: 16219-16229
[c203]
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Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng:
Interactive Segmentation as Gaussian Process Classification. CVPR 2023: 19488-19497
[c202]
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Shuo Wang, Meizhi Ju, Yunyan Zhang, Yefeng Zheng, Meng Wang, Guilin Qi:
Cross-Modal Contrastive Learning for Event Extraction. DASFAA (3) 2023: 699-715
[c201]
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Wangjie Jiang, Zhihao Ye, Bang Liu, Ruihui Zhao, Jianguang Zheng, Mengyao Li, Zhiyong Li, Yujiu Yang, Yefeng Zheng:
ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification. EACL (Findings) 2023: 2230-2239
[c200]
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Lei Gao, Xinnan Zhang, Xian Wu, Shen Ge, Yefeng Zheng:
Dialogue Medical Information Extraction with Medical-Item Graph and Dialogue-Status Enriched Representation. EMNLP (Findings) 2023: 13311-13321
[c199]
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Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Relation-aware Ensemble Learning for Knowledge Graph Embedding. EMNLP 2023: 16620-16631
[c198]
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Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou:
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion. ICCV 2023: 7418-7427
[c197]
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Peng Tu, Xu Xie, Guo Ai, Yuexiang Li, Yawen Huang, Yefeng Zheng:
FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs. ICCV 2023: 13272-13281
[c196]
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Jiacheng Ma, Fan Li, Rui Zhang, Zhikang Xu, Dawei Cheng, Yi Ouyang, Ruihui Zhao, Jianguang Zheng, Yefeng Zheng, Changjun Jiang:
Fighting against Organized Fraudsters Using Risk Diffusion-based Parallel Graph Neural Network. IJCAI 2023: 6138-6146
[c195]
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Lianyu Zhou, Dong Wei, Donghuan Lu, Wei Xue, Liansheng Wang, Yefeng Zheng:
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training. ISBI 2023: 1-4
[c194]
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Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah F. Frisken, Quanzheng Li, Yefeng Zheng, Raymond Kai-Yu Tong:
Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data. MICCAI (4) 2023: 3-13
[c193]
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Zhe Xu, Jiangpeng Yan, Donghuan Lu, Yixin Wang, Jie Luo, Yefeng Zheng, Raymond Kai-Yu Tong:
Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels. MICCAI (7) 2023: 99-109
[c192]
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Hong Wang, Minghao Zhou, Dong Wei, Yuexiang Li, Yefeng Zheng:
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images. MICCAI (10) 2023: 109-120
[c191]
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Yinghao Zhang, Donghuan Lu, Munan Ning, Liansheng Wang, Dong Wei, Yefeng Zheng:
A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images. MICCAI (3) 2023: 232-241
[c190]
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Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng:
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray. MICCAI (1) 2023: 363-373
[c189]
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Huimin Huang, Yawen Huang, Shiao Xie, Lanfen Lin, Ruofeng Tong, Yen-Wei Chen, Yuexiang Li, Yefeng Zheng:
Semi-Supervised Convolutional Vision Transformer with Bi-Level Uncertainty Estimation for Medical Image Segmentation. ACM Multimedia 2023: 5214-5222
[c188]
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Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou:
Learning Visual Prior via Generative Pre-Training. NeurIPS 2023
[c187]
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Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem:
Dynamically Masked Discriminator for GANs. NeurIPS 2023
[c186]
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Rui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen:
Distributionally Robust Sequential Recommnedation. SIGIR 2023: 279-288
[c185]
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Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, Jie Yang:
Exploring Social Media for Early Detection of Depression in COVID-19 Patients. WWW 2023: 3968-3977
[i143]
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  - journals/corr/abs-2301-00989
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Yuexiang Li, Yawen Huang, Nanjun He, Kai Ma, Yefeng Zheng:
A New Perspective to Boost Vision Transformer for Medical Image Classification. CoRR abs/2301.00989 (2023)
[i142]
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  - journals/corr/abs-2301-06719
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Peng Tu, Xu Xie, Ming Ling, Min Yang, Guo Ai, Yawen Huang, Yefeng Zheng:
FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs. CoRR abs/2301.06719 (2023)
[i141]
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  - journals/corr/abs-2301-07354
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Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan:
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. CoRR abs/2301.07354 (2023)
[i140]
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  - journals/corr/abs-2302-00953
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Meng Zhao, Yifan Hu, Ruixuan Jiang, Yuanli Zhao, Dong Zhang, Yan Zhang, Rong Wang, Yong Cao, Qian Zhang, Yonggang Ma, Jiaxi Li, Shaochen Yu, Wenjie Li, Ran Zhang, Yefeng Zheng, Shuo Wang, Jizong Zhao:
Deep-Learning Tool for Early Identifying Non-Traumatic Intracranial Hemorrhage Etiology based on CT Scan. CoRR abs/2302.00953 (2023)
[i139]
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  - journals/corr/abs-2302-12044
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Jiageng Wu, Xian Wu, Yining Hua, Shixu Lin, Yefeng Zheng, Jie Yang:
Exploring Social Media for Early Detection of Depression in COVID-19 Patients. CoRR abs/2302.12044 (2023)
[i138]
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  - journals/corr/abs-2302-14578
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Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng:
Interactive Segmentation as Gaussian Process Classification. CoRR abs/2302.14578 (2023)
[i137]
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Lianyu Zhou, Dong Wei, Donghuan Lu, Wei Xue, Liansheng Wang, Yefeng Zheng:
RECIST Weakly Supervised Lesion Segmentation via Label-Space Co-Training. CoRR abs/2303.00205 (2023)
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Haozhe Liu, Wentian Zhang, Bing Li, Haoqian Wu, Nanjun He, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng:
Improving GAN Training via Feature Space Shrinkage. CoRR abs/2303.01559 (2023)
[i135]
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Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng:
M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities. CoRR abs/2303.05302 (2023)
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Jiageng Wu, Xian Wu, Zhaopeng Qiu, Minghui Li, Yefeng Zheng, Jie Yang:
Qualifying Chinese Medical Licensing Examination with Knowledge Enhanced Generative Pre-training Model. CoRR abs/2305.10163 (2023)
[i133]
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Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou:
VisorGPT: Learning Visual Prior via Generative Pre-Training. CoRR abs/2305.13777 (2023)
[i132]
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Hanchong Zhang, Jieyu Li, Lu Chen, Ruisheng Cao, Yunyan Zhang, Yu Huang, Yefeng Zheng, Kai Yu:
CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset. CoRR abs/2305.15891 (2023)
[i131]
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Yunlu Yan, Hong Wang, Yawen Huang, Nanjun He, Lei Zhu, Yuexiang Li, Yong Xu, Yefeng Zheng:
Cross-Modal Vertical Federated Learning for MRI Reconstruction. CoRR abs/2306.02673 (2023)
[i130]
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Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem:
Dynamically Masked Discriminator for Generative Adversarial Networks. CoRR abs/2306.07716 (2023)
[i129]
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Hong Wang, Minghao Zhou, Dong Wei, Yuexiang Li, Yefeng Zheng:
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images. CoRR abs/2306.14274 (2023)
[i128]
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Jinbao Wang, Guoyang Xie, Yawen Huang, Jiayi Lyu, Feng Zheng, Yefeng Zheng, Yaochu Jin:
K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment. CoRR abs/2307.04296 (2023)
[i127]
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Huimin Wang, Wai-Chung Kwan, Kam-Fai Wong, Yefeng Zheng:
CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation. CoRR abs/2307.08290 (2023)
[i126]
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Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng:
You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-ray. CoRR abs/2307.09184 (2023)
[i125]
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Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou:
BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion. CoRR abs/2307.10816 (2023)
[i124]
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Xueming Fu, Hao Zheng, Luyan Liu, Wenjuan Zhong, Haowen Liu, Wenxuan Xiong, Yuyang Zhang, Yifeng Chen, Dong Wei, Mingjie Dong, Yefeng Zheng, Mingming Zhang:
Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG. CoRR abs/2307.13209 (2023)
[i123]
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Xingyu Miao, Yang Bai, Haoran Duan, Yawen Huang, Fan Wan, Xinxing Xu, Yang Long, Yefeng Zheng:
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume. CoRR abs/2308.07225 (2023)
[i122]
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Wai-Chung Kwan, Huimin Wang, Hongru Wang, Zezhong Wang, Xian Wu, Yefeng Zheng, Kam-Fai Wong:
JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning. CoRR abs/2309.00230 (2023)
[i121]
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Dong Wei, Yawen Huang, Donghuan Lu, Yuexiang Li, Yefeng Zheng:
Automatic view plane prescription for cardiac magnetic resonance imaging via supervision by spatial relationship between views. CoRR abs/2309.12805 (2023)
[i120]
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Hantao Zhou, Rui Yang, Yachao Zhang, Haoran Duan, Yawen Huang, Runze Hu, Xiu Li, Yefeng Zheng:
UniHead: Unifying Multi-Perception for Detection Heads. CoRR abs/2309.13242 (2023)
[i119]
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Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Relation-aware Ensemble Learning for Knowledge Graph Embedding. CoRR abs/2310.08917 (2023)
[i118]
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Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Derong Xu, Feng Tian, Yefeng Zheng:
MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications. CoRR abs/2310.18339 (2023)
[i117]
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  - journals/corr/abs-2311-09261
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Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network. CoRR abs/2311.09261 (2023)
[i116]
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Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
Adversarial Medical Image with Hierarchical Feature Hiding. CoRR abs/2312.01679 (2023)
[i115]
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Hong Liu, Dong Wei, Donghuan Lu, Xiaoying Tang, Liansheng Wang, Yefeng Zheng:
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retinal OCT Images with Full and Sparse Annotations. CoRR abs/2312.01726 (2023)
[i114]
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Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng:
Improving Biomedical Entity Linking with Retrieval-enhanced Learning. CoRR abs/2312.09806 (2023)
[i113]
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Yi Cheng, Wenge Liu, Jian Wang, Chak Tou Leong, Yi Ouyang, Wenjie Li, Xian Wu, Yefeng Zheng:
COOPER: Coordinating Specialized Agents towards a Complex Dialogue Goal. CoRR abs/2312.11792 (2023)
[i112]
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  - journals/corr/abs-2312-14478
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Xuan Gong, Shanglin Li, Yuxiang Bao, Barry Yao, Yawen Huang, Ziyan Wu, Baochang Zhang, Yefeng Zheng, David S. Doermann:
Federated Learning via Input-Output Collaborative Distillation. CoRR abs/2312.14478 (2023)
[i111]
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Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, Enhong Chen:
Large Language Models for Generative Information Extraction: A Survey. CoRR abs/2312.17617 (2023)
2022
[j46]
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Yuanyuan Li, Jun Wu, Donghuan Lu, Chao Xu, Yefeng Zheng, Hanchuan Peng, Lei Qu:
mBrainAligner-Web: a web server for cross-modal coherent registration of whole mouse brains. Bioinform. 38(19): 4654-4655 (2022)
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Dapeng Du, Jiawei Chen, Yuexiang Li, Kai Ma, Gangshan Wu, Yefeng Zheng, Limin Wang:
Cross-Domain Gated Learning for Domain Generalization. Int. J. Comput. Vis. 130(11): 2842-2857 (2022)
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Wenting Chen, Shuang Yu, Kai Ma, Wei Ji, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng:
TW-GAN: Topology and width aware GAN for retinal artery/vein classification. Medical Image Anal. 77: 102340 (2022)
[j43]
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Yuexiang Li, Jiawei Chen, Dong Wei, Yanchun Zhu, Jianrong Wu, Junfeng Xiong, Yadong Gang, Wenbo Sun, Haibo Xu, Tianyi Qian, Kai Ma, Yefeng Zheng:
Mix-and-Interpolate: A Training Strategy to Deal With Source-Biased Medical Data. IEEE J. Biomed. Health Informatics 26(1): 172-182 (2022)
[j42]
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Xiaoming Shi, Sendong Zhao, Yuxuan Wang, Xi Chen, Ziheng Zhang, Yefeng Zheng, Wanxiang Che:
Understanding Patient Query With Weak Supervision From Doctor Response. IEEE J. Biomed. Health Informatics 26(6): 2770-2777 (2022)
[j41]
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Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong:
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-Supervised Medical Image Segmentation. IEEE J. Biomed. Health Informatics 26(7): 3174-3184 (2022)
[j40]
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Xiaoting Han, Lei Qi, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao:
Deep Symmetric Adaptation Network for Cross-Modality Medical Image Segmentation. IEEE Trans. Medical Imaging 41(1): 121-132 (2022)
[j39]
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Jiawei Chen, Ziqi Zhang, Xinpeng Xie, Yuexiang Li, Tao Xu, Kai Ma, Yefeng Zheng:
Beyond Mutual Information: Generative Adversarial Network for Domain Adaptation Using Information Bottleneck Constraint. IEEE Trans. Medical Imaging 41(3): 595-607 (2022)
[j38]
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Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao:
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 41(3): 608-620 (2022)
[j37]
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Hong Wang, Yuexiang Li, Nanjun He, Kai Ma, Deyu Meng, Yefeng Zheng:
DICDNet: Deep Interpretable Convolutional Dictionary Network for Metal Artifact Reduction in CT Images. IEEE Trans. Medical Imaging 41(4): 869-880 (2022)
[j36]
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Cheng Bian, Chenglang Yuan, Kai Ma, Shuang Yu, Dong Wei, Yefeng Zheng:
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation. IEEE Trans. Medical Imaging 41(5): 1043-1056 (2022)
[j35]
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Zhe Xu, Donghuan Lu, Jie Luo, Yixin Wang, Jiangpeng Yan, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong:
Anti-Interference From Noisy Labels: Mean-Teacher-Assisted Confident Learning for Medical Image Segmentation. IEEE Trans. Medical Imaging 41(11): 3062-3073 (2022)
[j34]
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Zeyu Gao, Chang Jia, Yang Li, Xianli Zhang, Bangyang Hong, Jialun Wu, Tieliang Gong, Chunbao Wang, Deyu Meng, Yefeng Zheng, Chen Li:
Unsupervised Representation Learning for Tissue Segmentation in Histopathological Images: From Global to Local Contrast. IEEE Trans. Medical Imaging 41(12): 3611-3623 (2022)
[c184]
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  - conf/aaai/Sun00W022
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Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning. AAAI 2022: 2307-2315
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Yinghui Shi, Meng Wang, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng:
Probing the Impacts of Visual Context in Multimodal Entity Alignment. APWeb/WAIM (2) 2022: 255-270
[c182]
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  - conf/cikm/WuQLGJY0G0Z22
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Jialun Wu, Buyue Qian, Yang Li, Zeyu Gao, Meizhi Ju, Yifan Yang, Yefeng Zheng, Tieliang Gong, Chen Li, Xianli Zhang:
Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. CIKM 2022: 2169-2178
[c181]
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Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Bang Liu, Siheng Li, Yujiu Yang, Yefeng Zheng:
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction. CIKM 2022: 4084-4088
[c180]
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Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu:
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. COLING 2022: 1422-1431
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Zhenxi Lin, Ziheng Zhang, Meng Wang, Yinghui Shi, Xian Wu, Yefeng Zheng:
Multi-modal Contrastive Representation Learning for Entity Alignment. COLING 2022: 2572-2584
[c178]
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Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng:
Finding Influential Instances for Distantly Supervised Relation Extraction. COLING 2022: 2639-2650
[c177]
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Xian Wu, Shuxin Yang, Zhaopeng Qiu, Shen Ge, Yangtian Yan, Xingwang Wu, Yefeng Zheng, S. Kevin Zhou, Li Xiao:
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis. COLING 2022: 2952-2961
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Xinyu Ma, Meng Wang, Xing Liu, Yifan Yang, Yefeng Zheng, Sen Wang:
InDISP: An Interpretable Model for Dynamic Illness Severity Prediction. DASFAA (2) 2022: 631-638
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Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng:
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation. ECCV (20) 2022: 151-168
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Yawen Huang, Feng Zheng, Xu Sun, Yuexiang Li, Ling Shao, Yefeng Zheng:
Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks. ECCV (34) 2022: 183-199
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Haozhe Liu, Wentian Zhang, Jinheng Xie, Haoqian Wu, Bing Li, Ziqi Zhang, Yuexiang Li, Yawen Huang, Bernard Ghanem, Yefeng Zheng:
Decoupled Mixup for Out-of-Distribution Visual Recognition. ECCV Workshops (6) 2022: 451-464
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Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng:
Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning. EMNLP 2022: 3014-3026
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Jia Li, Yunyan Zhang, Yifan Yang, Zhicheng An, Yefeng Zheng:
BNU: A Balance-Normalization-Uncertainty Model for Incremental Event Detection. ICASSP 2022: 6352-6356
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Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenhua Lin, Yefeng Zheng, Bang Liu:
Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation. ICDE 2022: 3426-3438
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Zifan Chen, Zhe Wu, Xian Wu, Li Zhang, Jie Zhao, Yangtian Yan, Yefeng Zheng:
Contractible Regularization for Federated Learning on Non-IID Data. ICDM 2022: 61-70
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Xianli Zhang, Buyue Qian, Yang Li, Zeyu Gao, Chong Guan, Renzhen Wang, Yefeng Zheng, Hansen Zheng, Chen Li:
Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit. ICDM 2022: 713-722
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Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng:
PAC-Bayes Information Bottleneck. ICLR 2022
[c166]
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Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng:
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction. IJCAI 2022: 1401-1407
[c165]
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Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang:
"My nose is running." "Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics. IJCAI 2022: 4266-4272
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Shiwei Zhang, Jichao Sun, Yu Huang, Xueqi Ding, Yefeng Zheng:
Medical Symptom Detection in Intelligent Pre-Consultation Using Bi-directional Hard-Negative Noise Contrastive Estimation. KDD 2022: 4551-4559
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Jing Ren, Tianyang Cao, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng, Baobao Chang, Zhifang Sui, Ruihui Zhao, Yefeng Zheng, Bang Liu:
CLINER: Clinical Interrogation Named Entity Recognition. KSEM (2) 2022: 212-224
[c162]
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Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Sarah F. Frisken, Jayender Jagadeesan, William M. Wells III, Xiu Li, Yefeng Zheng, Raymond Kai-Yu Tong:
Double-Uncertainty Guided Spatial and Temporal Consistency Regularization Weighting for Learning-Based Abdominal Registration. MICCAI (6) 2022: 14-24
[c161]
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Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng:
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation. MICCAI (5) 2022: 107-117
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Jiashun Chen, Donghuan Lu, Yu Zhang, Dong Wei, Munan Ning, Xinyu Shi, Zhe Xu, Yefeng Zheng:
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration. MICCAI (6) 2022: 141-151
[c159]
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Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Dong Wei, Yefeng Zheng, Raymond Kai-Yu Tong:
Denoising for Relaxing: Unsupervised Domain Adaptive Fundus Image Segmentation Without Source Data. MICCAI (5) 2022: 214-224
[c158]
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Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng:
Point Beyond Class: A Benchmark for Weakly Semi-supervised Abnormality Localization in Chest X-Rays. MICCAI (3) 2022: 249-260
[c157]
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Lin Wang, Munan Ning, Donghuan Lu, Dong Wei, Yefeng Zheng, Jie Chen:
An Inclusive Task-Aware Framework for Radiology Report Generation. MICCAI (8) 2022: 568-577
[c156]
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Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng:
Lesion Guided Explainable Few Weak-Shot Medical Report Generation. MICCAI (5) 2022: 615-625
[c155]
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Wentian Zhang, Xu Sun, Yuexiang Li, Haozhe Liu, Nanjun He, Feng Liu, Yefeng Zheng:
A Multi-task Network with Weight Decay Skip Connection Training for Anomaly Detection in Retinal Fundus Images. MICCAI (2) 2022: 656-666
[c154]
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Hong Wang, Qi Xie, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng:
Orientation-Shared Convolution Representation for CT Metal Artifact Learning. MICCAI (6) 2022: 665-675
[c153]
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  - conf/miccai/YuanLWNZ22
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Wenguang Yuan, Donghuan Lu, Dong Wei, Munan Ning, Yefeng Zheng:
Multiscale Unsupervised Retinal Edema Area Segmentation in OCT Images. MICCAI (2) 2022: 667-676
[c152]
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  - conf/mm/WangXH0JZ22
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Jinbao Wang, Guoyang Xie, Yawen Huang, Yefeng Zheng, Yaochu Jin, Feng Zheng:
FedMed-ATL: Misaligned Unpaired Cross-Modality Neuroimage Synthesis via Affine Transform Loss. ACM Multimedia 2022: 1522-1531
[c151]
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Wenge Liu, Jianheng Tang, Yi Cheng, Wenjie Li, Yefeng Zheng, Xiaodan Liang:
MedDG: An Entity-Centric Medical Consultation Dataset for Entity-Aware Medical Dialogue Generation. NLPCC (1) 2022: 447-459
[c150]
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Suyuchen Wang, Ruihui Zhao, Yefeng Zheng, Bang Liu:
QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations. WWW 2022: 1008-1017
[i110]
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  - journals/corr/abs-2201-08953
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Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Jingkuan Song, Yaochu Jin:
FedMed-GAN: Federated Multi-Modal Unsupervised Brain Image Synthesis. CoRR abs/2201.08953 (2022)
[i109]
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  - journals/corr/abs-2201-12589
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Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Yaochu Jin:
FedMed-ATL: Misaligned Unpaired Brain Image Synthesis via Affine Transform Loss. CoRR abs/2201.12589 (2022)
[i108]
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  - journals/corr/abs-2202-06997
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Guoyang Xie, Jinbao Wang, Yawen Huang, Yefeng Zheng, Feng Zheng, Yaochu Jin:
A Survey of Cross-Modality Brain Image Synthesis. CoRR abs/2202.06997 (2022)
[i107]
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  - journals/corr/abs-2202-08195
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Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng:
Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images. CoRR abs/2202.08195 (2022)
[i106]
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  - journals/corr/abs-2203-02390
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Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng:
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images. CoRR abs/2203.02390 (2022)
[i105]
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  - journals/corr/abs-2203-03640
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Shuxin Wang, Shilei Cao, Zhizhong Chai, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network. CoRR abs/2203.03640 (2022)
[i104]
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  - journals/corr/abs-2203-05571
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Dong Wei, Yiming Li, Yinyan Wang, Tianyi Qian, Yefeng Zheng:
Deep Convolutional Neural Networks for Molecular Subtyping of Gliomas Using Magnetic Resonance Imaging. CoRR abs/2203.05571 (2022)
[i103]
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  - journals/corr/abs-2203-06429
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Heqin Zhu, Xu Sun, Yuexiang Li, Kai Ma, S. Kevin Zhou, Yefeng Zheng:
DFTR: Depth-supervised Hierarchical Feature Fusion Transformer for Salient Object Detection. CoRR abs/2203.06429 (2022)
[i102]
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  - journals/corr/abs-2203-10332
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Cheng Bian, Chenglang Yuan, Kai Ma, Shuang Yu, Dong Wei, Yefeng Zheng:
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation. CoRR abs/2203.10332 (2022)
[i101]
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  - journals/corr/abs-2204-11090
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Cong Xie, Hualuo Liu, Shilei Cao, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation. CoRR abs/2204.11090 (2022)
[i100]
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  - journals/corr/abs-2204-13953
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Wenge Liu, Yi Cheng, Hao Wang, Jianheng Tang, Yafei Liu, Ruihui Zhao, Wenjie Li, Yefeng Zheng, Xiaodan Liang:
"My nose is running.""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry Logics. CoRR abs/2204.13953 (2022)
[i99]
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  - journals/corr/abs-2205-07466
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Haozhe Liu, Haoqin Ji, Yuexiang Li, Nanjun He, Haoqian Wu, Feng Liu, Linlin Shen, Yefeng Zheng:
Robust Representation via Dynamic Feature Aggregation. CoRR abs/2205.07466 (2022)
[i98]
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  - journals/corr/abs-2205-07471
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Hong Wang, Yuexiang Li, Deyu Meng, Yefeng Zheng:
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction. CoRR abs/2205.07471 (2022)
[i97]
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  - journals/corr/abs-2206-02425
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Yao Zhang, Nanjun He, Jiawei Yang, Yuexiang Li, Dong Wei, Yawen Huang, Yang Zhang, Zhiqiang He, Yefeng Zheng:
mmFormer: Multimodal Medical Transformer for Incomplete Multimodal Learning of Brain Tumor Segmentation. CoRR abs/2206.02425 (2022)
[i96]
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  - journals/corr/abs-2207-03180
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Jiashun Chen, Donghuan Lu, Yu Zhang, Dong Wei, Munan Ning, Xinyu Shi, Zhe Xu, Yefeng Zheng:
Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration. CoRR abs/2207.03180 (2022)
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Xinyu Shi, Dong Wei, Yu Zhang, Donghuan Lu, Munan Ning, Jiashun Chen, Kai Ma, Yefeng Zheng:
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation. CoRR abs/2207.08549 (2022)
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Haozhe Liu, Bing Li, Haoqian Wu, Hanbang Liang, Yawen Huang, Yuexiang Li, Bernard Ghanem, Yefeng Zheng:
Combating Mode Collapse in GANs via Manifold Entropy Estimation. CoRR abs/2208.12055 (2022)
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Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng:
Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression. CoRR abs/2208.12462 (2022)
[i92]
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Zhenxi Lin, Ziheng Zhang, Meng Wang, Yinghui Shi, Xian Wu, Yefeng Zheng:
Multi-modal Contrastive Representation Learning for Entity Alignment. CoRR abs/2209.00891 (2022)
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Haoqin Ji, Haozhe Liu, Yuexiang Li, Jinheng Xie, Nanjun He, Yawen Huang, Dong Wei, Xinrong Chen, Linlin Shen, Yefeng Zheng:
A Benchmark for Weakly Semi-Supervised Abnormality Localization in Chest X-Rays. CoRR abs/2209.01988 (2022)
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Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu:
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. CoRR abs/2209.06453 (2022)
[i89]
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Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng:
Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning. CoRR abs/2210.04242 (2022)
[i88]
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Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Siheng Li, Bang Liu, Yujiu Yang, Yefeng Zheng:
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction. CoRR abs/2210.11720 (2022)
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  - journals/corr/abs-2210-14783
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Haozhe Liu, Wentian Zhang, Jinheng Xie, Haoqian Wu, Bing Li, Ziqi Zhang, Yuexiang Li, Yawen Huang, Bernard Ghanem, Yefeng Zheng:
Decoupled Mixup for Generalized Visual Recognition. CoRR abs/2210.14783 (2022)
[i86]
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  - journals/corr/abs-2211-01266
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Peng Zhang, Yawen Huang, Bingzhang Hu, Shizheng Wang, Haoran Duan, Noura Al Moubayed, Yefeng Zheng, Yang Long:
Knowing the Past to Predict the Future: Reinforcement Virtual Learning. CoRR abs/2211.01266 (2022)
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Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng:
Lesion Guided Explainable Few Weak-shot Medical Report Generation. CoRR abs/2211.08732 (2022)
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Xian Wu, Shuxin Yang, Zhaopeng Qiu, Shen Ge, Yangtian Yan, Xingwang Wu, Yefeng Zheng, S. Kevin Zhou, Li Xiao:
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis. CoRR abs/2211.13229 (2022)
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Hong Wang, Qi Xie, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng:
Orientation-Shared Convolution Representation for CT Metal Artifact Learning. CoRR abs/2212.13166 (2022)
2021
[j33]
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Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Jichao Zhao:
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging. Medical Image Anal. 67: 101832 (2021)
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Renzhen Wang, Shilei Cao, Kai Ma, Yefeng Zheng, Deyu Meng:
Pairwise learning for medical image segmentation. Medical Image Anal. 67: 101876 (2021)
[j31]
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Yuexiang Li, Zhi-Hua Liu, Peng Xue, Jiawei Chen, Kai Ma, Tianyi Qian, Yefeng Zheng, Youlin Qiao:
GRAND: A large-scale dataset and benchmark for cervical intraepithelial Neoplasia grading with fine-grained lesion description. Medical Image Anal. 70: 102006 (2021)
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Luyan Liu, Zhengdong Zhang, Shuai Li, Kai Ma, Yefeng Zheng:
S-CUDA: Self-cleansing unsupervised domain adaptation for medical image segmentation. Medical Image Anal. 74: 102214 (2021)
[j29]
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Qian Yu, Yang Gao, Yefeng Zheng, Jianbing Zhu, Yakang Dai, Yinghuan Shi:
Crossover-Net: Leveraging vertical-horizontal crossover relation for robust medical image segmentation. Pattern Recognit. 113: 107756 (2021)
[j28]
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Hengji Cui, Dong Wei, Kai Ma, Shi Gu, Yefeng Zheng:
A Unified Framework for Generalized Low-Shot Medical Image Segmentation With Scarce Data. IEEE Trans. Medical Imaging 40(10): 2656-2671 (2021)
[j27]
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He Zhao, Yuexiang Li, Nanjun He, Kai Ma, Leyuan Fang, Huiqi Li, Yefeng Zheng:
Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features. IEEE Trans. Medical Imaging 40(12): 3641-3651 (2021)
[j26]
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He Zhao, Qingqing Zheng, Kai Ma, Huiqi Li, Yefeng Zheng:
Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification. IEEE Trans. Neural Networks Learn. Syst. 32(2): 535-545 (2021)
[c149]
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Shuxin Wang, Shilei Cao, Dong Wei, Cong Xie, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng:
Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective. AAAI 2021: 634-642
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Yuejia Xiang, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Zhenxi Lin, Yefeng Zheng:
OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding. ACL/IJCNLP (Findings) 2021: 1117-1128
[c147]
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Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng:
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval. ACL/IJCNLP (1) 2021: 2238-2249
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Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin, Yefeng Zheng:
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting. ACL/IJCNLP (1) 2021: 5968-5978
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Hengyi Zheng, Rui Wen, Xi Chen, Yifan Yang, Yunyan Zhang, Ziheng Zhang, Ningyu Zhang, Bin Qin, Xu Ming, Yefeng Zheng:
PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction. ACL/IJCNLP (1) 2021: 6225-6235
[c144]
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Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng:
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix. BMVC 2021: 128
[c143]
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Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yefeng Zheng:
PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System. CIKM 2021: 4779-4783
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Wei Ji, Jingjing Li, Shuang Yu, Miao Zhang, Yongri Piao, Shunyu Yao, Qi Bi, Kai Ma, Yefeng Zheng, Huchuan Lu, Li Cheng:
Calibrated RGB-D Salient Object Detection. CVPR 2021: 9471-9481
[c141]
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Wei Ji, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Qi Bi, Jingjing Li, Hanruo Liu, Li Cheng, Yefeng Zheng:
Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling. CVPR 2021: 12341-12351
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Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Yefeng Zheng, Deyu Meng:
From Rain Generation to Rain Removal. CVPR 2021: 14791-14801
[c139]
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Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu:
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization. EMNLP (Findings) 2021: 2360-2369
[c138]
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  - conf/iccv/NingL0BYY0021
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Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng:
Multi-Anchor Active Domain Adaptation for Semantic Segmentation. ICCV 2021: 9092-9102
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Yang Li, Xianli Zhang, Buyue Qian, Zeyu Gao, Chong Guan, Yefeng Zheng, Hansen Zheng, Fenglang Wu, Chen Li:
Towards Interpretability and Personalization: A Predictive Framework for Clinical Time-series Analysis. ICDM 2021: 340-349
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Gege Qi, Lijun Gong, Yibing Song, Kai Ma, Yefeng Zheng:
Stabilized Medical Image Attacks. ICLR 2021
[c135]
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Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng:
Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding. IJCAI 2021: 2019-2025
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Yuanshao Zhu, Christos Markos, Ruihui Zhao, Yefeng Zheng, James J. Q. Yu:
FedOVA: One-vs-All Training Method for Federated Learning with Non-IID Data. IJCNN 2021: 1-7
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Yuexiang Li, Jiawei Chen, Kai Ma, Yefeng Zheng:
Feature Library: A Benchmark for Cervical Lesion Segmentation. IPMI 2021: 440-451
[c132]
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Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng:
Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation. IPMI 2021: 452-464
[c131]
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Munan Ning, Cheng Bian, Dong Wei, Shuang Yu, Chenglang Yuan, Yaohua Wang, Yang Guo, Kai Ma, Yefeng Zheng:
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework. IPMI 2021: 492-503
[c130]
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  - conf/isbi/XieL000WZ21
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Cong Xie, Hualuo Liu, Shilei Cao, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation. ISBI 2021: 38-41
[c129]
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Cong Xie, Shilei Cao, Dong Wei, Hongyu Zhou, Kai Ma, Xianli Zhang, Buyue Qian, Liansheng Wang, Yefeng Zheng:
Recist-Net: Lesion Detection Via Grouping Keypoints On Recist-Based Annotation. ISBI 2021: 921-924
[c128]
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Xing Tao, Chenglang Yuan, Cheng Bian, Yuexiang Li, Kai Ma, Dong Ni, Yefeng Zheng:
The Winner of Age Challenge: Going One Step Further From Keypoint Detection to Scleral Spur Localization. ISBI 2021: 1284-1287
[c127]
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Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jagadeesan Jayender, Kai Ma, Yefeng Zheng, Xiu Li:
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation. MICCAI (1) 2021: 3-13
[c126]
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Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks. MICCAI (3) 2021: 36-47
[c125]
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Shuang Yu, Kai Ma, Qi Bi, Cheng Bian, Munan Ning, Nanjun He, Yuexiang Li, Hanruo Liu, Yefeng Zheng:
MIL-VT: Multiple Instance Learning Enhanced Vision Transformer for Fundus Image Classification. MICCAI (8) 2021: 45-54
[c124]
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Qi Bi, Shuang Yu, Wei Ji, Cheng Bian, Lijun Gong, Hanruo Liu, Kai Ma, Yefeng Zheng:
Local-Global Dual Perception Based Deep Multiple Instance Learning for Retinal Disease Classification. MICCAI (8) 2021: 55-64
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Hong Wang, Yuexiang Li, Haimiao Zhang, Jiawei Chen, Kai Ma, Deyu Meng, Yefeng Zheng:
InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction. MICCAI (6) 2021: 107-118
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Hong Liu, Dong Wei, Donghuan Lu, Yuexiang Li, Kai Ma, Liansheng Wang, Yefeng Zheng:
Simultaneous Alignment and Surface Regression Using Hybrid 2D-3D Networks for 3D Coherent Layer Segmentation of Retina OCT Images. MICCAI (8) 2021: 108-118
[c121]
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Yuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng:
Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading. MICCAI (5) 2021: 449-458
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Yuexiang Li, Nanjun He, Sixiang Peng, Kai Ma, Yefeng Zheng:
Deep Reinforcement Exemplar Learning for Annotation Refinement. MICCAI (8) 2021: 487-496
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Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng:
Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle Regression. MICCAI (5) 2021: 490-499
[c118]
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Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification. MICCAI (5) 2021: 519-529
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Dong Wei, Kai Ma, Yefeng Zheng:
Training Automatic View Planner for Cardiac MR Imaging via Self-supervision by Spatial Relationship Between Views. MICCAI (6) 2021: 526-536
[c116]
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Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, Yefeng Zheng:
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management. NAACL-HLT 2021: 2993-3001
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Zhihao Ye, Rui Wen, Xi Chen, Ye Liu, Ziheng Zhang, Zhiyong Li, Ke Nai, Yefeng Zheng:
Improving Short Text Classification Using Context-Sensitive Representations and Content-Aware Extended Topic Knowledge. PAKDD (2) 2021: 93-105
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Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng:
Lifelong Learning Based Disease Diagnosis on Clinical Notes. PAKDD (1) 2021: 213-224
[c113]
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  - conf/semeval/CaoXZQCZ21
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Jiarun Cao, Yuejia Xiang, Yunyan Zhang, Zhiyuan Qi, Xi Chen, Yefeng Zheng:
CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse. SemEval@ACL/IJCNLP 2021: 1239-1244
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Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng, Bang Liu:
Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion. WWW 2021: 3291-3304
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Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng:
Online Disease Diagnosis with Inductive Heterogeneous Graph Convolutional Networks. WWW 2021: 3349-3358
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Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12901, Springer 2021, ISBN 978-3-030-87192-5 [contents]
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Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12902, Springer 2021, ISBN 978-3-030-87195-6 [contents]
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Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12903, Springer 2021, ISBN 978-3-030-87198-7 [contents]
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Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 12904, Springer 2021, ISBN 978-3-030-87201-4 [contents]
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Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part V. Lecture Notes in Computer Science 12905, Springer 2021, ISBN 978-3-030-87239-7 [contents]
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Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VI. Lecture Notes in Computer Science 12906, Springer 2021, ISBN 978-3-030-87230-4 [contents]
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Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VII. Lecture Notes in Computer Science 12907, Springer 2021, ISBN 978-3-030-87233-5 [contents]
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Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VIII. Lecture Notes in Computer Science 12908, Springer 2021, ISBN 978-3-030-87236-6 [contents]
[i82]
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Xiaoting Han, Lei Qi, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao:
Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation. CoRR abs/2101.06853 (2021)
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Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng, Bang Liu:
Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion. CoRR abs/2101.11268 (2021)
[i80]
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Luyan Liu, Zhiwei Wen, Songwei Liu, Hong-Yu Zhou, Hongwei Zhu, Weicheng Xie, Linlin Shen, Kai Ma, Yefeng Zheng:
MixSearch: Searching for Domain Generalized Medical Image Segmentation Architectures. CoRR abs/2102.13280 (2021)
[i79]
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  - journals/corr/abs-2103-00165
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Zifeng Wang, Yifan Yang, Rui Wen, Xi Chen, Shao-Lun Huang, Yefeng Zheng:
Lifelong Learning based Disease Diagnosis on Clinical Notes. CoRR abs/2103.00165 (2021)
[i78]
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Gege Qi, Lijun Gong, Yibing Song, Kai Ma, Yefeng Zheng:
Stabilized Medical Image Attacks. CoRR abs/2103.05232 (2021)
[i77]
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Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng:
Generalized Organ Segmentation by Imitating One-shot Reasoning using Anatomical Correlation. CoRR abs/2103.16344 (2021)
[i76]
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  - journals/corr/abs-2104-04748
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Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, Yefeng Zheng:
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management. CoRR abs/2104.04748 (2021)
[i75]
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  - journals/corr/abs-2105-05596
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Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng:
Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding. CoRR abs/2105.05596 (2021)
[i74]
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  - journals/corr/abs-2105-07688
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Yuejia Xiang, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Zhenxi Lin, Yefeng Zheng:
OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding. CoRR abs/2105.07688 (2021)
[i73]
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  - journals/corr/abs-2105-11698
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Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin, Yefeng Zheng:
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting. CoRR abs/2105.11698 (2021)
[i72]
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  - journals/corr/abs-2105-13066
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Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng:
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval. CoRR abs/2105.13066 (2021)
[i71]
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Zhe Xu, Donghuan Lu, Yixin Wang, Jie Luo, Jayender Jagadeesan, Kai Ma, Yefeng Zheng, Xiu Li:
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation. CoRR abs/2106.01860 (2021)
[i70]
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  - journals/corr/abs-2106-05735
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Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021)
[i69]
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  - journals/corr/abs-2106-06733
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Yi Lin, Yanfei Liu, Jingguang Liu, Guocai Liu, Kai Ma, Yefeng Zheng:
LE-NAS: Learning-based Ensenble with NAS for Dose Prediction. CoRR abs/2106.06733 (2021)
[i68]
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Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yefeng Zheng:
PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System. CoRR abs/2106.08801 (2021)
[i67]
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  - journals/corr/abs-2106-09645
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Shuai Lin, Pan Zhou, Zi-Yuan Hu, Shuojia Wang, Ruihui Zhao, Yefeng Zheng, Liang Lin, Eric P. Xing, Xiaodan Liang:
Prototypical Graph Contrastive Learning. CoRR abs/2106.09645 (2021)
[i66]
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  - journals/corr/abs-2106-09895
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Hengyi Zheng, Rui Wen, Xi Chen, Yifan Yang, Yunyan Zhang, Ziheng Zhang, Ningyu Zhang, Bin Qin, Ming Xu, Yefeng Zheng:
PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction. CoRR abs/2106.09895 (2021)
[i65]
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  - journals/corr/abs-2106-14178
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Quanziang Wang, Renzhen Wang, Yuexiang Li, Kai Ma, Yefeng Zheng, Deyu Meng:
Residual Moment Loss for Medical Image Segmentation. CoRR abs/2106.14178 (2021)
[i64]
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Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng:
Mutual-GAN: Towards Unsupervised Cross-Weather Adaptation with Mutual Information Constraint. CoRR abs/2106.16000 (2021)
[i63]
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Zhe Xu, Jie Luo, Donghuan Lu, Jiangpeng Yan, Jayender Jagadeesan, William M. Wells III, Sarah F. Frisken, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong:
Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration. CoRR abs/2107.02433 (2021)
[i62]
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Cong Xie, Shilei Cao, Dong Wei, Hongyu Zhou, Kai Ma, Xianli Zhang, Buyue Qian, Liansheng Wang, Yefeng Zheng:
RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation. CoRR abs/2107.08715 (2021)
[i61]
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Munan Ning, Cheng Bian, Dong Wei, Chenglang Yuan, Yaohua Wang, Yang Guo, Kai Ma, Yefeng Zheng:
A New Bidirectional Unsupervised Domain Adaptation Segmentation Framework. CoRR abs/2108.07979 (2021)
[i60]
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Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng:
Multi-Anchor Active Domain Adaptation for Semantic Segmentation. CoRR abs/2108.08012 (2021)
[i59]
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Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu:
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization. CoRR abs/2109.02867 (2021)
[i58]
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Dong Wei, Kai Ma, Yefeng Zheng:
Training Automatic View Planner for Cardiac MR Imaging via Self-Supervision by Spatial Relationship between Views. CoRR abs/2109.11715 (2021)
[i57]
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Zhe Xu, Yixin Wang, Donghuan Lu, Lequan Yu, Jiangpeng Yan, Jie Luo, Kai Ma, Yefeng Zheng, Raymond Kai-Yu Tong:
All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation. CoRR abs/2109.13930 (2021)
[i56]
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Zifeng Wang, Shao-Lun Huang, Ercan E. Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng:
PAC-Bayes Information Bottleneck. CoRR abs/2109.14509 (2021)
[i55]
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Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification. CoRR abs/2110.04558 (2021)
[i54]
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Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu:
Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation. CoRR abs/2110.06354 (2021)
[i53]
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Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao:
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation. CoRR abs/2110.08762 (2021)
[i52]
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Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng:
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix. CoRR abs/2110.08866 (2021)
[i51]
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Hengji Cui, Dong Wei, Kai Ma, Shi Gu, Yefeng Zheng:
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data. CoRR abs/2110.09260 (2021)
[i50]
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Hong Wang, Yuexiang Li, Haimiao Zhang, Deyu Meng, Yefeng Zheng:
InDuDoNet+: A Model-Driven Interpretable Dual Domain Network for Metal Artifact Reduction in CT Images. CoRR abs/2112.12660 (2021)
[i49]
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Quanziang Wang, Yuexiang Li, Dong Wei, Renzhen Wang, Kai Ma, Yefeng Zheng, Deyu Meng:
Revisiting Experience Replay: Continual Learning by Adaptively Tuning Task-wise Relationship. CoRR abs/2112.15402 (2021)
2020
[j25]
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Cheng Bian, Chenglang Yuan, Jiexiang Wang, Meng Li, Xin Yang, Shuang Yu, Kai Ma, Jin Yuan, Yefeng Zheng:
Uncertainty-aware domain alignment for anatomical structure segmentation. Medical Image Anal. 64: 101732 (2020)
[j24]
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Jiuwen Zhu, Yuexiang Li, Yifan Hu, Kai Ma, S. Kevin Zhou, Yefeng Zheng:
Rubik's Cube+: A self-supervised feature learning framework for 3D medical image analysis. Medical Image Anal. 64: 101746 (2020)
[j23]
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Yuexiang Li, Dong Wei, Jiawei Chen, Shilei Cao, Hongyu Zhou, Yanchun Zhu, Jianrong Wu, Lan Lan, Wenbo Sun, Tianyi Qian, Kai Ma, Haibo Xu, Yefeng Zheng:
Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank. IEEE J. Biomed. Health Informatics 24(10): 2787-2797 (2020)
[j22]
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Yuexiang Li, Jiawei Chen, Peng Xue, Chao Tang, Jia Chang, Chunyan Chu, Kai Ma, Qing Li, Yefeng Zheng, Youlin Qiao:
Computer-Aided Cervical Cancer Diagnosis Using Time-Lapsed Colposcopic Images. IEEE Trans. Medical Imaging 39(11): 3403-3415 (2020)
[j21]
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Shuxin Wang, Shilei Cao, Zhizhong Chai, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng:
Conquering Data Variations in Resolution: A Slice-Aware Multi-Branch Decoder Network. IEEE Trans. Medical Imaging 39(12): 4174-4185 (2020)
[c110]
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Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng:
Generative Adversarial Networks for Video-to-Video Domain Adaptation. AAAI 2020: 3462-3469
[c109]
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Ziheng Zhang, Hualuo Liu, Jiaoyan Chen, Xi Chen, Bo Liu, Yuejia Xiang, Yefeng Zheng:
An Industry Evaluation of Embedding-based Entity Alignment. COLING (Industry) 2020: 179-189
[c108]
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Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng:
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation. CVPR 2020: 9159-9168
[c107]
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Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng:
Deep Image Clustering with Category-Style Representation. ECCV (14) 2020: 54-70
[c106]
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Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation. ECCV (20) 2020: 498-513
[c105]
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Shuo Wang, Yuexiang Li, Kai Ma, Ruhui Ma, Haibing Guan, Yefeng Zheng:
Dual Adversarial Network for Deep Active Learning. ECCV (24) 2020: 680-696
[c104]
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Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng:
Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift. IJCAI 2020: 1047-1053
[c103]
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Bingyu Xin, Yifan Hu, Yefeng Zheng, Hongen Liao:
Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis. ISBI 2020: 1803-1807
[c102]
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Yuexiang Li, Jiawei Chen, Yefeng Zheng:
A Multi-Task Self-Supervised Learning Framework for Scopy Images. ISBI 2020: 2005-2009
[c101]
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Xianli Zhang, Buyue Qian, Shilei Cao, Yang Li, Hang Chen, Yefeng Zheng, Ian Davidson:
INPREM: An Interpretable and Trustworthy Predictive Model for Healthcare. KDD 2020: 450-460
[c100]
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Dong Wei, Yiming Li, Yinyan Wang, Tianyi Qian, Yefeng Zheng:
Deep convolutional neural networks for molecular subtyping of gliomas using magnetic resonance imaging. Medical Imaging: Computer-Aided Diagnosis 2020
[c99]
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Munan Ning, Cheng Bian, Chenglang Yuan, Kai Ma, Yefeng Zheng:
Ensembled ResUnet for Anatomical Brain Barriers Segmentation. MICCAI (Challenges) 2020: 27-33
[c98]
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Yanfei Liu, Yunqiao Yang, Yi Lin, Yuexiang Li, Dong Wei, Kai Ma, Yefeng Zheng:
Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network. CADA@MICCAI 2020: 87-92
[c97]
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Dong Wei, Shilei Cao, Kai Ma, Yefeng Zheng:
Learning and Exploiting Interclass Visual Correlations for Medical Image Classification. MICCAI (1) 2020: 106-115
[c96]
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Hang Li, Dong Wei, Shilei Cao, Kai Ma, Liansheng Wang, Yefeng Zheng:
Superpixel-Guided Label Softening for Medical Image Segmentation. MICCAI (4) 2020: 227-237
[c95]
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Xing Tao, Yuexiang Li, Wenhui Zhou, Kai Ma, Yefeng Zheng:
Revisiting Rubik's Cube: Self-supervised Learning with Volume-Wise Transformation for 3D Medical Image Segmentation. MICCAI (4) 2020: 238-248
[c94]
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Luyan Liu, Kai Ma, Yefeng Zheng:
Learning Crisp Edge Detector Using Logical Refinement Network. MICCAI (4) 2020: 332-341
[c93]
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Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
Instance-Aware Self-supervised Learning for Nuclei Segmentation. MICCAI (5) 2020: 341-350
[c92]
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Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng:
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations. MICCAI (1) 2020: 398-407
[c91]
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Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
MI²GAN: Generative Adversarial Network for Medical Image Domain Adaptation Using Mutual Information Constraint. MICCAI (2) 2020: 516-525
[c90]
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Shaoteng Liu, Lijun Gong, Kai Ma, Yefeng Zheng:
GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy. MICCAI (5) 2020: 585-594
[c89]
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Lijun Gong, Kai Ma, Yefeng Zheng:
Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications. MICCAI (2) 2020: 591-601
[c88]
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Yuexiang Li, Jiawei Chen, Xinpeng Xie, Kai Ma, Yefeng Zheng:
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-supervised Medical Image Segmentation. MICCAI (1) 2020: 614-623
[c87]
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Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng:
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification. MICCAI (5) 2020: 616-625
[c86]
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Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng:
A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation. MICCAI (5) 2020: 725-734
[c85]
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Junde Wu, Shuang Yu, Wenting Chen, Kai Ma, Rao Fu, Hanruo Liu, Xiaoguang Di, Yefeng Zheng:
Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning. MICCAI (1) 2020: 731-740
[c84]
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Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng:
Difficulty-Aware Glaucoma Classification with Multi-rater Consensus Modeling. MICCAI (1) 2020: 741-750
[c83]
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Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng:
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback. NeurIPS 2020
[i48]
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  - journals/corr/abs-2003-07072
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Shuxin Wang, Shilei Cao, Dong Wei, Renzhen Wang, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng:
LT-Net: Label Transfer by Learning Reversible Voxel-wise Correspondence for One-shot Medical Image Segmentation. CoRR abs/2003.07072 (2020)
[i47]
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Donghuan Lu, Sujun Zhao, Peng Xie, Kai Ma, Lijuan Liu, Yefeng Zheng:
Quality Control of Neuron Reconstruction Based on Deep Learning. CoRR abs/2003.08556 (2020)
[i46]
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  - journals/corr/abs-2004-01397
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Qian Yu, Yinghuan Shi, Yefeng Zheng, Yang Gao, Jianbing Zhu, Yakang Dai:
Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for Robust Segmentation. CoRR abs/2004.01397 (2020)
[i45]
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Jiawei Chen, Yuexiang Li, Kai Ma, Yefeng Zheng:
Generative Adversarial Networks for Video-to-Video Domain Adaptation. CoRR abs/2004.08058 (2020)
[i44]
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Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas K. Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Élodie Puybareau, Younes Khoudli, Thierry Géraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Mengyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nuñez Garcia, Oscar Camara, Nicoló Savioli, Pablo Lamata, Jichao Zhao:
A Global Benchmark of Algorithms for Segmenting Late Gadolinium-Enhanced Cardiac Magnetic Resonance Imaging. CoRR abs/2004.12314 (2020)
[i43]
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Bingyu Xin, Yifan Hu, Yefeng Zheng, Hongen Liao:
Multi-Modality Generative Adversarial Networks with Tumor Consistency Loss for Brain MR Image Synthesis. CoRR abs/2005.00925 (2020)
[i42]
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Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng:
Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift. CoRR abs/2006.10990 (2020)
[i41]
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  - journals/corr/abs-2007-06371
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Dong Wei, Shilei Cao, Kai Ma, Yefeng Zheng:
Learning and Exploiting Interclass Visual Correlations for Medical Image Classification. CoRR abs/2007.06371 (2020)
[i40]
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  - journals/corr/abs-2007-07423
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Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng:
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations. CoRR abs/2007.07423 (2020)
[i39]
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  - journals/corr/abs-2007-08826
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Xing Tao, Yuexiang Li, Wenhui Zhou, Kai Ma, Yefeng Zheng:
Revisiting Rubik's Cube: Self-supervised Learning with Volume-wise Transformation for 3D Medical Image Segmentation. CoRR abs/2007.08826 (2020)
[i38]
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  - journals/corr/abs-2007-08897
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Hang Li, Dong Wei, Shilei Cao, Kai Ma, Liansheng Wang, Yefeng Zheng:
Superpixel-Guided Label Softening for Medical Image Segmentation. CoRR abs/2007.08897 (2020)
[i37]
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  - journals/corr/abs-2007-09337
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Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng:
Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification. CoRR abs/2007.09337 (2020)
[i36]
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  - journals/corr/abs-2007-09854
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Yuexiang Li, Jiawei Chen, Xinpeng Xie, Kai Ma, Yefeng Zheng:
Self-Loop Uncertainty: A Novel Pseudo-Label for Semi-Supervised Medical Image Segmentation. CoRR abs/2007.09854 (2020)
[i35]
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  - journals/corr/abs-2007-09968
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Shaoteng Liu, Lijun Gong, Kai Ma, Yefeng Zheng:
GREEN: a Graph REsidual rE-ranking Network for Grading Diabetic Retinopathy. CoRR abs/2007.09968 (2020)
[i34]
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  - journals/corr/abs-2007-09979
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Lijun Gong, Kai Ma, Yefeng Zheng:
Distractor-Aware Neuron Intrinsic Learning for Generic 2D Medical Image Classifications. CoRR abs/2007.09979 (2020)
[i33]
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  - journals/corr/abs-2007-10004
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Junjie Zhao, Donghuan Lu, Kai Ma, Yu Zhang, Yefeng Zheng:
Deep Image Clustering with Category-Style Representation. CoRR abs/2007.10004 (2020)
[i32]
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  - journals/corr/abs-2007-10007
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Munan Ning, Cheng Bian, Donghuan Lu, Hong-Yu Zhou, Shuang Yu, Chenglang Yuan, Yang Guo, Yaohua Wang, Kai Ma, Yefeng Zheng:
A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation. CoRR abs/2007.10007 (2020)
[i31]
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  - journals/corr/abs-2007-11180
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Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
MI^2GAN: Generative Adversarial Network for Medical Image Domain Adaptation using Mutual Information Constraint. CoRR abs/2007.11180 (2020)
[i30]
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  - journals/corr/abs-2007-11186
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Xinpeng Xie, Jiawei Chen, Yuexiang Li, Linlin Shen, Kai Ma, Yefeng Zheng:
Instance-aware Self-supervised Learning for Nuclei Segmentation. CoRR abs/2007.11186 (2020)
[i29]
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  - journals/corr/abs-2007-11355
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Junde Wu, Shuang Yu, Wenting Chen, Kai Ma, Rao Fu, Hanruo Liu, Xiaoguang Di, Yefeng Zheng:
Leveraging Undiagnosed Data for Glaucoma Classification with Teacher-Student Learning. CoRR abs/2007.11355 (2020)
[i28]
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  - journals/corr/abs-2007-12449
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Luyan Liu, Kai Ma, Yefeng Zheng:
Learning Crisp Edge Detector Using Logical Refinement Network. CoRR abs/2007.12449 (2020)
[i27]
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  - journals/corr/abs-2007-14848
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Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng:
Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling. CoRR abs/2007.14848 (2020)
[i26]
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  - journals/corr/abs-2007-14852
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Wenting Chen, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Chunyan Chu, Linlin Shen, Yefeng Zheng:
TR-GAN: Topology Ranking GAN with Triplet Loss for Retinal Artery/Vein Classification. CoRR abs/2007.14852 (2020)
[i25]
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  - journals/corr/abs-2009-02623
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Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng:
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback. CoRR abs/2009.02623 (2020)
[i24]
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Zifeng Wang, Rui Wen, Xi Chen, Shilei Cao, Shao-Lun Huang, Buyue Qian, Yefeng Zheng:
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks. CoRR abs/2009.02625 (2020)
[i23]
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  - journals/corr/abs-2009-09841
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Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng:
Finding Influential Instances for Distantly Supervised Relation Extraction. CoRR abs/2009.09841 (2020)
[i22]
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  - journals/corr/abs-2010-11522
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Ziheng Zhang, Jiaoyan Chen, Xi Chen, Hualuo Liu, Yuejia Xiang, Bo Liu, Yefeng Zheng:
An Industry Evaluation of Embedding-based Entity Alignment. CoRR abs/2010.11522 (2020)
[i21]
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  - journals/corr/abs-2012-04432
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Yi Liu, Xingliang Yuan, Ruihui Zhao, Yifeng Zheng, Yefeng Zheng:
RC-SSFL: Towards Robust and Communication-efficient Semi-supervised Federated Learning System. CoRR abs/2012.04432 (2020)
[i20]
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Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou:
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks. CoRR abs/2012.09501 (2020)
[i19]
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  - journals/corr/abs-2012-14567
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Munan Ning, Cheng Bian, Chenglang Yuan, Kai Ma, Yefeng Zheng:
Ensembled ResUnet for Anatomical Brain Barriers Segmentation. CoRR abs/2012.14567 (2020)

2010 – 2019

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2019
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Saeid Asgari Taghanaki, Yefeng Zheng, Shaohua Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh:
Combo loss: Handling input and output imbalance in multi-organ segmentation. Comput. Medical Imaging Graph. 75: 24-33 (2019)
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Jinzheng Cai, Zizhao Zhang, Lei Cui, Yefeng Zheng, Lin Yang:
Towards cross-modal organ translation and segmentation: A cycle- and shape-consistent generative adversarial network. Medical Image Anal. 52: 174-184 (2019)
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Florin C. Ghesu, Bogdan Georgescu, Yefeng Zheng, Sasa Grbic, Andreas K. Maier, Joachim Hornegger, Dorin Comaniciu:
Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 176-189 (2019)
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  - conf/cvpr/YingGMWWZ19
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Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zhengxin Weng, Yefeng Zheng:
X2CT-GAN: Reconstructing CT From Biplanar X-Rays With Generative Adversarial Networks. CVPR 2019: 10619-10628
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  - conf/miccai/ChenCWLZ19
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Yu Chen, Jiawei Chen, Dong Wei, Yuexiang Li, Yefeng Zheng:
OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images. MMMI@MICCAI 2019: 17-25
[c80]
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Yi Lin, Hong-Yu Zhou, Kai Ma, Xin Yang, Yefeng Zheng:
Seg4Reg Networks for Automated Spinal Curvature Estimation. CSI@MICCAI 2019: 69-74
[c79]
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Renzhen Wang, Shilei Cao, Kai Ma, Deyu Meng, Yefeng Zheng:
Pairwise Semantic Segmentation via Conjugate Fully Convolutional Network. MICCAI (6) 2019: 157-165
[c78]
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Qingbin Shao, Lijun Gong, Kai Ma, Hualuo Liu, Yefeng Zheng:
Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-scale Booster. MICCAI (6) 2019: 301-309
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  - conf/miccai/TaghanakiBSZZGS19
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Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh:
Select, Attend, and Transfer: Light, Learnable Skip Connections. MLMI@MICCAI 2019: 417-425
[c76]
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  - conf/miccai/ZhuangLHMYZ19
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Xinrui Zhuang, Yuexiang Li, Yifan Hu, Kai Ma, Yujiu Yang, Yefeng Zheng:
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube. MICCAI (4) 2019: 420-428
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Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng:
Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification. MICCAI (1) 2019: 769-778
[i18]
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  - journals/corr/abs-1904-00625
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Sihong Chen, Kai Ma, Yefeng Zheng:
Med3D: Transfer Learning for 3D Medical Image Analysis. CoRR abs/1904.00625 (2019)
[i17]
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  - journals/corr/abs-1904-00631
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Sihong Chen, Kai Ma, Yefeng Zheng:
TAN: Temporal Affine Network for Real-Time Left Ventricle Anatomical Structure Analysis Based on 2D Ultrasound Videos. CoRR abs/1904.00631 (2019)
[i16]
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  - journals/corr/abs-1905-06902
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Xingde Ying, Heng Guo, Kai Ma, Jian Wu, Zhengxin Weng, Yefeng Zheng:
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial Networks. CoRR abs/1905.06902 (2019)
[i15]
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  - journals/corr/abs-1906-02031
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Yu Chen, Yuexiang Li, Jiawei Chen, Yefeng Zheng:
OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images. CoRR abs/1906.02031 (2019)
[i14]
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  - journals/corr/abs-1906-02040
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Yifan Hu, Yefeng Zheng:
A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage. CoRR abs/1906.02040 (2019)
[i13]
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  - journals/corr/abs-1907-03958
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Qingbin Shao, Lijun Gong, Kai Ma, Hualuo Liu, Yefeng Zheng:
Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale Booster. CoRR abs/1907.03958 (2019)
[i12]
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  - journals/corr/abs-1907-06941
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Sihong Chen, Weiping Yu, Kai Ma, Xinlong Sun, Xiaona Lin, Desheng Sun, Yefeng Zheng:
Semi-supervised Breast Lesion Detection in Ultrasound Video Based on Temporal Coherence. CoRR abs/1907.06941 (2019)
[i11]
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Jiexiang Wang, Cheng Bian, Meng Li, Xin Yang, Kai Ma, Wenao Ma, Jin Yuan, Xinghao Ding, Yefeng Zheng:
Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images. CoRR abs/1908.08242 (2019)
[i10]
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Xinrui Zhuang, Yuexiang Li, Yifan Hu, Kai Ma, Yujiu Yang, Yefeng Zheng:
Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik's Cube. CoRR abs/1910.02241 (2019)
[i9]
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  - journals/corr/abs-1910-10414
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Chenglang Yuan, Cheng Bian, Hongjian Kang, Shu Liang, Kai Ma, Yefeng Zheng:
Identification of primary angle-closure on AS-OCT images with Convolutional Neural Networks. CoRR abs/1910.10414 (2019)
2018
[j17]
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Xi Cheng, Li Zhang, Yefeng Zheng:
Deep similarity learning for multimodal medical images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 248-252 (2018)
[c74]
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Haofu Liao, Gareth Funka-Lea, Yefeng Zheng, Jiebo Luo, Shaohua Kevin Zhou:
Face Completion with Semantic Knowledge and Collaborative Adversarial Learning. ACCV (1) 2018: 382-397
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Zizhao Zhang, Lin Yang, Yefeng Zheng:
Translating and Segmenting Multimodal Medical Volumes With Cycle- and Shape-Consistency Generative Adversarial Network. CVPR 2018: 9242-9251
[c72]
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Cheng Bian, Xin Yang, Jianqiang Ma, Shen Zheng, Yu-An Liu, Reza Nezafat, Pheng-Ann Heng, Yefeng Zheng:
Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation. STACOM@MICCAI 2018: 237-245
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Pengyue Zhang, Fusheng Wang, Yefeng Zheng:
Deep Reinforcement Learning for Vessel Centerline Tracing in Multi-modality 3D Volumes. MICCAI (4) 2018: 755-763
[i8]
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Zizhao Zhang, Lin Yang, Yefeng Zheng:
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network. CoRR abs/1802.09655 (2018)
[i7]
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Saeid Asgari Taghanaki, Aïcha BenTaieb, Anmol Sharma, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh:
Select, Attend, and Transfer: Light, Learnable Skip Connections. CoRR abs/1804.05181 (2018)
[i6]
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  - journals/corr/abs-1805-02798
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Saeid Asgari Taghanaki, Yefeng Zheng, Shaohua Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh:
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation. CoRR abs/1805.02798 (2018)
[i5]
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Haofu Liao, Gareth Funka-Lea, Yefeng Zheng, Jiebo Luo, Shaohua Kevin Zhou:
Face Completion with Semantic Knowledge and Collaborative Adversarial Learning. CoRR abs/1812.03252 (2018)
[i4]
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  - journals/corr/abs-1812-05313
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Hong-Yu Zhou, Avital Oliver, Jianxin Wu, Yefeng Zheng:
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets. CoRR abs/1812.05313 (2018)
[i3]
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Cheng Bian, Xin Yang, Jianqiang Ma, Shen Zheng, Yu-An Liu, Reza Nezafat, Pheng-Ann Heng, Yefeng Zheng:
Pyramid Network with Online Hard Example Mining for Accurate Left Atrium Segmentation. CoRR abs/1812.05802 (2018)
2017
[c70]
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Pengyue Zhang, Fusheng Wang, Yefeng Zheng:
Self supervised deep representation learning for fine-grained body part recognition. ISBI 2017: 578-582
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  - series/acvpr/CarneiroZXY17
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Gustavo Carneiro, Yefeng Zheng, Fuyong Xing, Lin Yang:
Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 11-32
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Yefeng Zheng, David Liu, Bogdan Georgescu, Hien Nguyen, Dorin Comaniciu:
Robust Landmark Detection in Volumetric Data with Efficient 3D Deep Learning. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 49-61
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Yefeng Zheng, David Liu, Bogdan Georgescu, Daguang Xu, Dorin Comaniciu:
Deep Learning Based Automatic Segmentation of Pathological Kidney in CT: Local Versus Global Image Context. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 241-255
[e1]
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Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang:
Deep Learning and Convolutional Neural Networks for Medical Image Computing - Precision Medicine, High Performance and Large-Scale Datasets. Advances in Computer Vision and Pattern Recognition, Springer 2017, ISBN 978-3-319-42998-4 [contents]
[i2]
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Assaf Hoogi, John W. Lambert, Yefeng Zheng, Dorin Comaniciu, Daniel L. Rubin:
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes. CoRR abs/1703.06418 (2017)
2016
[j16]
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Florin C. Ghesu, Edward Krubasik, Bogdan Georgescu, Vivek K. Singh, Yefeng Zheng, Joachim Hornegger, Dorin Comaniciu:
Marginal Space Deep Learning: Efficient Architecture for Volumetric Image Parsing. IEEE Trans. Medical Imaging 35(5): 1217-1228 (2016)
[c69]
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Shun Miao, Z. Jane Wang, Yefeng Zheng, Rui Liao:
Real-time 2D/3D registration via CNN regression. ISBI 2016: 1430-1434
[c68]
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Mehmet A. Gülsün, Gareth Funka-Lea, Puneet Sharma, Saikiran Rapaka, Yefeng Zheng:
Coronary Centerline Extraction via Optimal Flow Paths and CNN Path Pruning. MICCAI (3) 2016: 317-325
[c67]
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Peng Chu, Yu Pang, Erkang Cheng, Ying J. Zhu, Yefeng Zheng, Haibin Ling:
Structure-Aware Rank-1 Tensor Approximation for Curvilinear Structure Tracking Using Learned Hierarchical Features. MICCAI (1) 2016: 413-421
[c66]
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Hao Chen, Yefeng Zheng, Jin Hyeong Park, Pheng-Ann Heng, Shaohua Kevin Zhou:
Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images. MICCAI (2) 2016: 487-495
[i1]
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Hao Chen, Yefeng Zheng, Jin Hyeong Park, Pheng-Ann Heng, Shaohua Kevin Zhou:
Iterative Multi-domain Regularized Deep Learning for Anatomical Structure Detection and Segmentation from Ultrasound Images. CoRR abs/1607.01855 (2016)
2015
[j15]
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Catalina Tobon-Gomez, Arjan J. Geers, Jochen Peters, Jürgen Weese, Karen Pinto, Rashed Karim, Mohammed Ammar, Abdelaziz Daoudi, Ján Margeta, Zulma L. Sandoval, Birgit Stender, Yefeng Zheng, Maria A. Zuluaga, Julián Betancur, Nicholas Ayache, Mohammed Amine Chikh, Jean-Louis Dillenseger, B. Michael Kelm, Saïd Mahmoudi, Sébastien Ourselin, Alexander Schlaefer, Tobias Schaeffter, Reza Razavi, Kawal S. Rhode:
Benchmark for Algorithms Segmenting the Left Atrium From 3D CT and MRI Datasets. IEEE Trans. Medical Imaging 34(7): 1460-1473 (2015)
[j14]
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Qian Wang, Le Lu, Dijia Wu, Noha Youssry El-Zehiry, Yefeng Zheng, Dinggang Shen, Shaohua Kevin Zhou:
Automatic Segmentation of Spinal Canals in CT Images via Iterative Topology Refinement. IEEE Trans. Medical Imaging 34(8): 1694-1704 (2015)
[c65]
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Yefeng Zheng:
Cross-modality medical image detection and segmentation by transfer learning of shapel priors. ISBI 2015: 424-427
[c64]
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Mingqing Chen, Hua Zhong, Yefeng Zheng, Gareth Funka-Lea:
Component-composition based heart isolation for 3D volume visualization of coronary arteries. ISBI 2015: 1300-1303
[c63]
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Yefeng Zheng, David Liu, Bogdan Georgescu, Hien Nguyen, Dorin Comaniciu:
3D Deep Learning for Efficient and Robust Landmark Detection in Volumetric Data. MICCAI (1) 2015: 565-572
[c62]
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Florin C. Ghesu, Bogdan Georgescu, Yefeng Zheng, Joachim Hornegger, Dorin Comaniciu:
Marginal Space Deep Learning: Efficient Architecture for Detection in Volumetric Image Data. MICCAI (1) 2015: 710-718
2014
[b2]
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  - books/sp/ZhengC14
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Yefeng Zheng, Dorin Comaniciu:
Marginal Space Learning for Medical Image Analysis - Efficient Detection and Segmentation of Anatomical Structures. Springer 2014, ISBN 978-1-4939-0599-7, pp. 1-261
[j13]
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Yefeng Zheng, Dong Yang, Matthias John, Dorin Comaniciu:
Multi-Part Modeling and Segmentation of Left Atrium in C-Arm CT for Image-Guided Ablation of Atrial Fibrillation. IEEE Trans. Medical Imaging 33(2): 318-331 (2014)
[c61]
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Alexander G. Schwing, Yefeng Zheng:
Reliable extraction of the mid-sagittal plane in 3D brain MRI via hierarchical landmark detection. ISBI 2014: 213-216
[c60]
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Felix Lugauer, Yefeng Zheng, Joachim Hornegger, B. Michael Kelm:
Precise Lumen Segmentation in Coronary Computed Tomography Angiography. MCV 2014: 137-147
[c59]
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Mehmet A. Gülsün, Gareth Funka-Lea, Yefeng Zheng, Matthias Eckert:
CTA Coronary Labeling through Efficient Geodesics between Trees Using Anatomy Priors. MICCAI (2) 2014: 521-528
[c58]
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Yefeng Zheng:
Pericardium Based Model Fusion of CT and Non-contrasted C-arm CT for Visual Guidance in Cardiac Interventions. MICCAI (2) 2014: 700-707
[c57]
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Shiyang Lu, Xiaojie Huang, Zhiyong Wang, Yefeng Zheng:
Sparse Appearance Learning Based Automatic Coronary Sinus Segmentation in CTA. MICCAI (1) 2014: 779-787
[c56]
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  - conf/miip/LugauerZZHK14
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Felix Lugauer, Jingdan Zhang, Yefeng Zheng, Joachim Hornegger, B. Michael Kelm:
Improving accuracy in coronary lumen segmentation via explicit calcium exclusion, learning-based ray detection and surface optimization. Medical Imaging: Image Processing 2014: 90343U
2013
[j12]
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Rui Liao, Shun Miao, Yefeng Zheng:
Automatic and efficient contrast-based 2-D/3-D fusion for trans-catheter aortic valve implantation (TAVI). Comput. Medical Imaging Graph. 37(2): 150-161 (2013)
[j11]
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B. Michael Kelm, Michael Wels, Shaohua Kevin Zhou, Sascha Seifert, Michael Sühling, Yefeng Zheng, Dorin Comaniciu:
Spine detection in CT and MR using iterated marginal space learning. Medical Image Anal. 17(8): 1283-1292 (2013)
[j10]
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Mingqing Chen, Kunlin Cao, Yefeng Zheng, R. Alfredo C. Siochi:
Motion-Compensated Mega-Voltage Cone Beam CT Using the Deformation Derived Directly From 2D Projection Images. IEEE Trans. Medical Imaging 32(8): 1365-1375 (2013)
[c55]
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Yefeng Zheng, Hüseyin Tek, Gareth Funka-Lea:
Robust and Accurate Coronary Artery Centerline Extraction in CTA by Combining Model-Driven and Data-Driven Approaches. MICCAI (3) 2013: 74-81
[c54]
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Mingqing Chen, Yefeng Zheng, Yang Wang, Kerstin Müller, Guenter Lauritsch:
Automatic 3D Motion Estimation of Left Ventricle from C-arm Rotational Angiocardiography Using a Prior Motion Model and Learning Based Boundary Detector. MICCAI (3) 2013: 90-97
[c53]
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Le Lu, Pandu R. Devarakota, Siddharth Vikal, Dijia Wu, Yefeng Zheng, Matthias Wolf:
Computer Aided Diagnosis Using Multilevel Image Features on Large-Scale Evaluation. MCV 2013: 161-174
[c52]
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Dong Yang, Yefeng Zheng, Matthias John:
Graph cuts based left atrium segmentation refinement and right middle pulmonary vein extraction in C-arm CT. Medical Imaging: Image Processing 2013: 86693U
2012
[j9]
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Yefeng Zheng, Matthias John, Rui Liao, Alois Nöttling, Jan M. Boese, Jörg Kempfert, Thomas Walther, Gernot Brockmann, Dorin Comaniciu:
Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT for Transcatheter Aortic Valve Implantation. IEEE Trans. Medical Imaging 31(12): 2307-2321 (2012)
[c51]
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Hua Zhong, Yefeng Zheng, Gareth Funka-Lea, Fernando Vega Higuera:
Segmentation and removal of pulmonary arteries, veins and left atrial appendage for visualizing coronary and bypass arteries. CVPR Workshops 2012: 24-30
[c50]
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Mingqing Chen, Yefeng Zheng, Kerstin Müller, Christopher Rohkohl, Guenter Lauritsch, Jan M. Boese, Dorin Comaniciu:
Enhancement of organ of interest via background subtraction in cone beam rotational angiocardiogram. ISBI 2012: 622-625
[c49]
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Dime Vitanovski, Kristof Ralovich, Razvan Ioan Ionasec, Yefeng Zheng, Michael Sühling, Waldemar Krawtschuk, Joachim Hornegger, Dorin Comaniciu:
Personalized learning-based segmentation of thoracic aorta and main branches for diagnosis and treatment planning. ISBI 2012: 836-839
[c48]
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Yefeng Zheng, Matthias John, Jan M. Boese, Dorin Comaniciu:
Precise segmentation of the left atrium in C-arm CT volumes with applications to atrial fibrillation ablation. ISBI 2012: 1421-1424
[c47]
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Yefeng Zheng, Jianhua Shen, Hüseyin Tek, Gareth Funka-Lea:
Model-Driven Centerline Extraction for Severely Occluded Major Coronary Arteries. MLMI 2012: 10-18
[c46]
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Peng Wang, Yefeng Zheng, Matthias John, Dorin Comaniciu:
Catheter Tracking via Online Learning for Dynamic Motion Compensation in Transcatheter Aortic Valve Implantation. MICCAI (2) 2012: 17-24
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Hua Zhong, Yefeng Zheng, Gareth Funka-Lea, Fernando Vega Higuera:
Automatic Heart Isolation in 3D CT Images. MCV 2012: 165-180
[c44]
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Mingqing Chen, Junjie Bai, Yefeng Zheng, R. Alfredo C. Siochi:
3D Lung Tumor Motion Model Extraction from 2D Projection Images of Mega-voltage Cone Beam CT via Optimal Graph Search. MICCAI (1) 2012: 239-246
[c43]
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Chao Lu, Yefeng Zheng, Neil Birkbeck, Jingdan Zhang, Timo Kohlberger, Christian Tietjen, Thomas Boettger, James S. Duncan, Shaohua Kevin Zhou:
Precise Segmentation of Multiple Organs in CT Volumes Using Learning-Based Approach and Information Theory. MICCAI (2) 2012: 462-469
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Stratis Tzoumas, Peng Wang, Yefeng Zheng, Matthias John, Dorin Comaniciu:
Robust pigtail catheter tip detection in fluoroscopy. Medical Imaging: Image-Guided Procedures 2012: 83160M
2011
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Lin Yang, Bogdan Georgescu, Yefeng Zheng, Yang Wang, Peter Meer, Dorin Comaniciu:
Prediction Based Collaborative Trackers (PCT): A Robust and Accurate Approach Toward 3D Medical Object Tracking. IEEE Trans. Medical Imaging 30(11): 1921-1932 (2011)
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Alexander G. Schwing, Christopher Zach, Yefeng Zheng, Marc Pollefeys:
Adaptive random forest - How many "experts" to ask before making a decision? CVPR 2011: 1377-1384
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Shun Miao, Rui Liao, Yefeng Zheng:
A hybrid method for 2-D/3-D registration between 3-D volumes and 2-D angiography for trans-catheter aortic valve implantation (TAVI). ISBI 2011: 1215-1218
[c39]
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B. Michael Kelm, Sushil Mittal, Yefeng Zheng, Alexey Tsymbal, Dominik Bernhardt, Fernando Vega Higuera, Shaohua Kevin Zhou, Peter Meer, Dorin Comaniciu:
Detection, Grading and Classification of Coronary Stenoses in Computed Tomography Angiography. MICCAI (3) 2011: 25-32
[c38]
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Sasa Grbic, Razvan Ioan Ionasec, Yang Wang, Tommaso Mansi, Bogdan Georgescu, Matthias John, Jan M. Boese, Yefeng Zheng, Nassir Navab, Dorin Comaniciu:
Model-Based Fusion of Multi-modal Volumetric Images: Application to Transcatheter Valve Procedures. MICCAI (1) 2011: 219-226
[c37]
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Yefeng Zheng, Hüseyin Tek, Gareth Funka-Lea, Shaohua Kevin Zhou, Fernando Vega Higuera, Dorin Comaniciu:
Efficient Detection of Native and Bypass Coronary Ostia in Cardiac CT Volumes: Anatomical vs. Pathological Structures. MICCAI (3) 2011: 403-410
[c36]
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Mingqing Chen, Yefeng Zheng, Kerstin Müller, Christopher Rohkohl, Guenter Lauritsch, Jan M. Boese, Gareth Funka-Lea, Joachim Hornegger, Dorin Comaniciu:
Automatic Extraction of 3D Dynamic Left Ventricle Model from 2D Rotational Angiocardiogram. MICCAI (3) 2011: 471-478
[c35]
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Yefeng Zheng, Tianzhou Wang, Matthias John, Shaohua Kevin Zhou, Jan M. Boese, Dorin Comaniciu:
Multi-part Left Atrium Modeling and Segmentation in C-Arm CT Volumes for Atrial Fibrillation Ablation. MICCAI (3) 2011: 487-495
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Yefeng Zheng, Maciej Loziczonek, Bogdan Georgescu, Shaohua Kevin Zhou, Fernando Vega Higuera, Dorin Comaniciu:
Machine learning based vesselness measurement for coronary artery segmentation in cardiac CT volumes. Medical Imaging: Image Processing 2011: 79621K
2010
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Viorel Mihalef, Razvan Ioan Ionasec, Yang Wang, Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu:
Patient-specific modeling of left heart anatomy, dynamics and hemodynamics from high resolution 4D CT. ISBI 2010: 504-507
[c32]
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Sushil Mittal, Yefeng Zheng, Bogdan Georgescu, Fernando Vega Higuera, Shaohua Kevin Zhou, Peter Meer, Dorin Comaniciu:
Fast Automatic Detection of Calcified Coronary Lesions in 3D Cardiac CT Images. MLMI 2010: 1-9
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Razvan Ioan Ionasec, Ingmar Voigt, Viorel Mihalef, Sasa Grbic, Dime Vitanovski, Yang Wang, Yefeng Zheng, Joachim Hornegger, Nassir Navab, Bogdan Georgescu:
Patient-Specific Modeling of the Heart: Applications to Cardiovascular Disease Management. STACOM/CESC 2010: 14-24
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Yefeng Zheng, Fernando Vega Higuera, Shaohua Kevin Zhou, Dorin Comaniciu:
Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization. MLMI 2010: 84-91
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B. Michael Kelm, Shaohua Kevin Zhou, Michael Sühling, Yefeng Zheng, Michael Wels, Dorin Comaniciu:
Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning. MCV 2010: 96-105
[c28]
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Matthias John, Rui Liao, Yefeng Zheng, Alois Nöttling, Jan M. Boese, Uwe Kirschstein, Jörg Kempfert, Thomas Walther:
System to Guide Transcatheter Aortic Valve Implantations Based on Interventional C-Arm CT Imaging. MICCAI (1) 2010: 375-382
[c27]
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Yefeng Zheng, Matthias John, Rui Liao, Jan M. Boese, Uwe Kirschstein, Bogdan Georgescu, Shaohua Kevin Zhou, Jörg Kempfert, Thomas Walther, Gernot Brockmann:
Automatic Aorta Segmentation and Valve Landmark Detection in C-Arm CT: Application to Aortic Valve Implantation. MICCAI (1) 2010: 476-483
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Sasa Grbic, Razvan Ioan Ionasec, Dominik Zäuner, Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu:
Aortic valve and ascending aortic root modeling from 3D and 3D+t CT. Medical Imaging: Image-Guided Procedures 2010: 76250H

2000 – 2009

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What is the meaning of the colors in the publication lists?

2009
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Guangyu Zhu, Yefeng Zheng, David S. Doermann, Stefan Jaeger:
Signature Detection and Matching for Document Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 31(11): 2015-2031 (2009)
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Yefeng Zheng, Bogdan Georgescu, Haibin Ling, Shaohua Kevin Zhou, Michael Scheuering, Dorin Comaniciu:
Constrained marginal space learning for efficient 3D anatomical structure detection in medical images. CVPR 2009: 194-201
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Yefeng Zheng, Xiaoguang Lu, Bogdan Georgescu, Arne Littmann, Edgar Mueller, Dorin Comaniciu:
Robust object detection using marginal space learning and ranking-based multi-detector aggregation: Application to left ventricle detection in 2D MRI images. CVPR 2009: 1343-1350
[c23]
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Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu:
Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images. IPMI 2009: 411-422
[c22]
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Michael Wels, Yefeng Zheng, Gustavo Carneiro, Martin Huber, Joachim Hornegger, Dorin Comaniciu:
Fast and Robust 3-D MRI Brain Structure Segmentation. MICCAI (1) 2009: 575-583
[c21]
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Yefeng Zheng, Bogdan Georgescu, Fernando Vega Higuera, Dorin Comaniciu:
Left ventricle endocardium segmentation for cardiac CT volumes using an optimal smooth surface. Medical Imaging: Image Processing 2009: 72593V
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Yefeng Zheng, Xiaoguang Lu, Bogdan Georgescu, Arne Littmann, Edgar Mueller, Dorin Comaniciu:
Automatic left ventricle detection in MRI images using marginal space learning and component-based voting. Medical Imaging: Image Processing 2009: 725906
2008
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Yi Li, Yefeng Zheng, David S. Doermann, Stefan Jaeger:
Script-Independent Text Line Segmentation in Freestyle Handwritten Documents. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1313-1329 (2008)
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Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Michael Scheuering, Dorin Comaniciu:
Four-Chamber Heart Modeling and Automatic Segmentation for 3-D Cardiac CT Volumes Using Marginal Space Learning and Steerable Features. IEEE Trans. Medical Imaging 27(11): 1668-1681 (2008)
[c19]
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Haibin Ling, Shaohua Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Michael Sühling, Dorin Comaniciu:
Hierarchical, learning-based automatic liver segmentation. CVPR 2008
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Lin Yang, Bogdan Georgescu, Yefeng Zheng, Peter Meer, Dorin Comaniciu:
3D ultrasound tracking of the left ventricle using one-step forward prediction and data fusion of collaborative trackers. CVPR 2008
[c17]
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Guangyu Zhu, Yefeng Zheng, David S. Doermann:
Signature-Based Document Image Retrieval. ECCV (3) 2008: 752-765
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Lin Yang, Bogdan Georgescu, Yefeng Zheng, David J. Foran, Dorin Comaniciu:
A fast and accurate tracking algorithm of left ventricles in 3D echocardiography. ISBI 2008: 221-224
[c15]
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Xiaoguang Lu, Bogdan Georgescu, Yefeng Zheng, Joanne Otsuki, Dorin Comaniciu:
AutoMPR: Automatic detection of standard planes in 3D echocardiography. ISBI 2008: 1279-1282
[c14]
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Yefeng Zheng, Bogdan Georgescu, Adrian Barbu, Michael Scheuering, Dorin Comaniciu:
Four-chamber heart modeling and automatic segmentation for 3D cardiac CT volumes. Medical Imaging: Image Processing 2008: 691416
2007
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Guangyu Zhu, Yefeng Zheng, David S. Doermann, Stefan Jaeger:
Multi-scale Structural Saliency for Signature Detection. CVPR 2007
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Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Michael Scheuering, Dorin Comaniciu:
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features. ICCV 2007: 1-8
2006
[j4]
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Meng Chen, Yefeng Zheng, Min Wu:
Classification-Based Spatial Error Concealment for Visual Communications. EURASIP J. Adv. Signal Process. 2006 (2006)
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Yefeng Zheng, David S. Doermann:
Robust Point Matching for Nonrigid Shapes by Preserving Local Neighborhood Structures. IEEE Trans. Pattern Anal. Mach. Intell. 28(4): 643-649 (2006)
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Yefeng Zheng, Xiang Sean Zhou, Bogdan Georgescu, Shaohua Kevin Zhou, Dorin Comaniciu:
Example Based Non-rigid Shape Detection. ECCV (4) 2006: 423-436
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Yi Li, Yefeng Zheng, David S. Doermann:
Detecting Text Lines in Handwritten Documents. ICPR (2) 2006: 1030-1033
2005
[b1]
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Yefeng Zheng:
Handwriting identification, matching, and indexing in noisy document images. University of Maryland, College Park, MD, USA, 2005
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Yefeng Zheng, Huiping Li, David S. Doermann:
A Parallel-Line Detection Algorithm Based on HMM Decoding. IEEE Trans. Pattern Anal. Mach. Intell. 27(5): 777-792 (2005)
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Yefeng Zheng, David S. Doermann:
Robust Point Matching for Two-Dimensional Nonrigid Shapes. ICCV 2005: 1561-1566
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Yefeng Zheng, David S. Doermann:
Handwriting Matching and Its Application to Handwriting Synthesis. ICDAR 2005: 861-865
2004
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Yefeng Zheng, Huiping Li, David S. Doermann:
Machine Printed Text and Handwriting Identification in Noisy Document Images. IEEE Trans. Pattern Anal. Mach. Intell. 26(3): 337-353 (2004)
2003
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Yefeng Zheng, Huiping Li, David S. Doermann:
Background Line Detection with A Stochastic Model. CVPR Workshops 2003: 23
[c6]
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Yefeng Zheng, Huiping Li, David S. Doermann:
A Model-based Line Detection Algorithm in Documents. ICDAR 2003: 44-48
[c5]
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Yefeng Zheng, Huiping Li, David S. Doermann:
Text Identification in Noisy Document Images Using Markov Random Field. ICDAR 2003: 599-
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Meng Chen, Min Wu, Yefeng Zheng:
Classification-based spatial error concealment for images. ICIP (2) 2003: 675-678
2002
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Yefeng Zheng, Huiping Li, David S. Doermann:
The Segmentation and Identification of Handwriting in Noisy Document Images. Document Analysis Systems 2002: 95-105
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Yefeng Zheng, Changsong Liu, Xiaoqing Ding:
Single-character type identification. Document Recognition and Retrieval 2002: 49-56
2001
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Yefeng Zheng, Changsong Liu, Xiaoqing Ding, Shiyan Pan:
Form Frame Line Detection with Directional Single-Connected Chain. ICDAR 2001: 699-703

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