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2020 – today
- 2024
[j25]Yan Wang, Yanmei Luo
, Chen Zu, Bo Zhan, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou:
3D multi-modality Transformer-GAN for high-quality PET reconstruction. Medical Image Anal. 91: 102983 (2024)- [j24]Yujie Yang, Lin Hu, Chen Zu, Jianjia Zhang, Yun Hou, Ying Chen, Jiliu Zhou, Luping Zhou, Yan Wang:
CL-TransFER: Collaborative learning based transformer for facial expression recognition with masked reconstruction. Pattern Recognit. 156: 110741 (2024) - [j23]Qiankun Ma, Jie Zeng, Jianjia Zhang, Chen Zu, Xi Wu, Jiliu Zhou, Jie Chen, Yan Wang:
Source-free domain adaptation via dynamic pseudo labeling and Self-supervision. Pattern Recognit. 156: 110793 (2024) - [j22]Yujie Yang, Hanci Zheng, Yuanyuan Xu, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang:
Exploring Domain-Invariant Feature Space for Unsupervised Cross-Domain Facial Expression Recognition via Diffusion Model. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - 2023
- [j21]Yujie Yang, Lin Hu, Chen Zu, Qizheng Zhou, Xi Wu, Jiliu Zhou, Yan Wang:
Facial Expression Recognition with Contrastive Learning and Uncertainty-Guided Relabeling. Int. J. Neural Syst. 33(6): 2350032:1-2350032:16 (2023) - [j20]Yuang Shi, Chen Zu, Pinli Yang, Shuai Tan, Hongping Ren, Xi Wu, Jiliu Zhou, Yan Wang:
Uncertainty-weighted and relation-driven consistency training for semi-supervised head-and-neck tumor segmentation. Knowl. Based Syst. 272: 110598 (2023) - [j19]Lu Wen, Jianghong Xiao, Jie Zeng, Chen Zu, Xi Wu, Jiliu Zhou, Xingchen Peng, Yan Wang:
Multi-level progressive transfer learning for cervical cancer dose prediction. Pattern Recognit. 141: 109606 (2023) - 2022
- [j18]Kaiping Wang, Yan Wang, Bo Zhan, Yujie Yang, Chen Zu, Xi Wu, Jiliu Zhou, Dong Nie, Luping Zhou:
An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation. Int. J. Neural Syst. 32(9): 2250043:1-2250043:18 (2022) - [j17]Lin Hu, Jiaxin Li, Xingchen Peng, Jianghong Xiao, Bo Zhan, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang:
Semi-supervised NPC segmentation with uncertainty and attention guided consistency. Knowl. Based Syst. 239: 108021 (2022) - [j16]Huidong Li, Xingchen Peng, Jie Zeng, Jianghong Xiao, Dong Nie, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang:
Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction. Knowl. Based Syst. 241: 108324 (2022) - [j15]Bo Zhan, Jianghong Xiao, Chongyang Cao, Xingchen Peng, Chen Zu, Jiliu Zhou, Yan Wang:
Multi-constraint generative adversarial network for dose prediction in radiotherapy. Medical Image Anal. 77: 102339 (2022) - [j14]Kaiping Wang, Bo Zhan, Chen Zu, Xi Wu, Jiliu Zhou, Luping Zhou, Yan Wang:
Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning. Medical Image Anal. 79: 102447 (2022) - [j13]Yuang Shi, Chen Zu, Mei Hong, Luping Zhou, Lei Wang, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang:
ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease. Pattern Recognit. 126: 108566 (2022) - [c19]Jie Zeng, Chongyang Cao, Xingchen Peng, Jianghong Xiao, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang:
Two-Phase Progressive Deep Transfer Learning for Cervical Cancer Dose Map Prediction. ISBI 2022: 1-5 - [c18]Hanci Zheng, Zongying Lin, Qizheng Zhou, Xingchen Peng, Jianghong Xiao, Chen Zu, Zhengyang Jiao, Yan Wang:
Multi-transSP: Multimodal Transformer for Survival Prediction of Nasopharyngeal Carcinoma Patients. MICCAI (8) 2022: 234-243 - [c17]Pinxian Zeng, Luping Zhou, Chen Zu, Xinyi Zeng, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang:
3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction. MICCAI (6) 2022: 516-526 - [c16]Yuchen Fei, Chen Zu, Zhengyang Jiao, Xi Wu, Jiliu Zhou, Dinggang Shen, Yan Wang:
Classification-Aided High-Quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization. MICCAI (6) 2022: 527-537 - 2021
- [j12]Pin Tang, Chen Zu, Mei Hong, Rui Yan, Xingchen Peng, Jianghong Xiao, Xi Wu, Jiliu Zhou, Luping Zhou, Yan Wang:
DA-DSUnet: Dual Attention-based Dense SU-net for automatic head-and-neck tumor segmentation in MRI images. Neurocomputing 435: 103-113 (2021) - [c15]Yanmei Luo, Yan Wang, Chen Zu, Bo Zhan, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou:
3D Transformer-GAN for High-Quality PET Reconstruction. MICCAI (6) 2021: 276-285 - [c14]Qiankun Ma, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang:
Coarse-To-Fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy. MICCAI (1) 2021: 358-368 - [c13]Kaiping Wang, Bo Zhan, Chen Zu, Xi Wu, Jiliu Zhou, Luping Zhou, Yan Wang:
Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation. MICCAI (2) 2021: 450-460 - [c12]Shuai Tan, Pin Tang, Xingchen Peng, Jianghong Xiao, Chen Zu, Xi Wu, Jiliu Zhou, Yan Wang:
Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy. MICCAI (7) 2021: 753-763 - 2020
- [j11]Wei Shao, Yao Peng, Chen Zu, Mingliang Wang, Daoqiang Zhang:
Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease. Comput. Medical Imaging Graph. 80: 101663 (2020) - [i1]Yuang Shi, Chen Zu, Mei Hong, Luping Zhou, Lei Wang, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang:
ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimer's Disease. CoRR abs/2010.08190 (2020)
2010 – 2019
- 2019
- [j10]Liang Sun, Chen Zu, Wei Shao, Junye Guang, Daoqiang Zhang, Mingxia Liu:
Reliability-based robust multi-atlas label fusion for brain MRI segmentation. Artif. Intell. Medicine 96: 12-24 (2019) - [j9]Yan Wang, Chen Zu, Zongqing Ma, Yong Luo, Kun He, Xi Wu, Jiliu Zhou:
Patch-wise label propagation for MR brain segmentation based on multi-atlas images. Multim. Syst. 25(2): 73-81 (2019) - [j8]Changming Zhu, Rigui Zhou, Chen Zu:
Weight-based canonical sparse cross-view correlation analysis. Pattern Anal. Appl. 22(2): 457-476 (2019) - [j7]Yan Wang, Luping Zhou, Biting Yu, Lei Wang, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen:
3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis. IEEE Trans. Medical Imaging 38(6): 1328-1339 (2019) - 2018
- [j6]Yan Wang, Biting Yu, Lei Wang, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen, Luping Zhou:
3D conditional generative adversarial networks for high-quality PET image estimation at low dose. NeuroImage 174: 550-562 (2018) - [j5]Yan Wang, Chen Zu, Guangliang Hu, Yong Luo, Zongqing Ma, Kun He, Xi Wu, Jiliu Zhou:
Automatic Tumor Segmentation with Deep Convolutional Neural Networks for Radiotherapy Applications. Neural Process. Lett. 48(3): 1323-1334 (2018) - [c11]Yan Wang, Biting Yu, Lei Wang, Chen Zu, Yong Luo, Xi Wu, Zhipeng Yang, Jiliu Zhou, Luping Zhou:
Tumor segmentation via multi-modality joint dictionary learning. ISBI 2018: 1336-1339 - [c10]Chen Zu, Yan Wang, Luping Zhou, Lei Wang, Daoqiang Zhang:
Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease. ISBI 2018: 1542-1545 - [c9]Yan Wang, Luping Zhou, Lei Wang, Biting Yu, Chen Zu, David S. Lalush, Weili Lin, Xi Wu, Jiliu Zhou, Dinggang Shen:
Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis. MICCAI (1) 2018: 329-337 - 2017
- [j4]Chen Zu, Linling Zhu, Daoqiang Zhang:
Iterative sparsity score for feature selection and its extension for multimodal data. Neurocomputing 259: 146-153 (2017) - [j3]Chen Zu, Zhengxia Wang, Daoqiang Zhang, Peipeng Liang, Yonghong Shi, Dinggang Shen, Guorong Wu:
Robust multi-atlas label propagation by deep sparse representation. Pattern Recognit. 63: 511-517 (2017) - [c8]Yi Ding, Sheng-Jun Huang, Chen Zu, Daoqiang Zhang:
Margin Distribution Logistic Machine. SDM 2017: 19-27 - 2016
- [j2]Chen Zu, Daoqiang Zhang:
Canonical sparse cross-view correlation analysis. Neurocomputing 191: 263-272 (2016) - [c7]Chen Zu, Yue Gao, Brent C. Munsell, Minjeong Kim, Zi-Wen Peng, Yingying Zhu, Wei Gao, Daoqiang Zhang, Dinggang Shen, Guorong Wu:
Identifying High Order Brain Connectome Biomarkers via Learning on Hypergraph. MLMI@MICCAI 2016: 1-9 - [c6]Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu:
Progressive Graph-Based Transductive Learning for Multi-modal Classification of Brain Disorder Disease. MICCAI (1) 2016: 291-299 - 2015
- [c5]Liang Sun, Chen Zu, Daoqiang Zhang:
Reliability Guided Forward and Backward Patch-Based Method for Multi-atlas Segmentation. Patch-MI@MICCAI 2015: 128-136 - [c4]Tingting Ye, Chen Zu, Biao Jie, Dinggang Shen, Daoqiang Zhang:
Discriminative Multi-task Feature Selection for Multi-modality Based AD/MCI Classification. PRNI 2015: 45-48 - 2014
- [c3]Biao Jie, Xi Jiang, Chen Zu, Daoqiang Zhang:
The New Graph Kernels on Connectivity Networks for Identification of MCI. MLINI@NIPS 2014: 12-20 - [c2]Chen Zu, Biao Jie, Songcan Chen, Daoqiang Zhang:
Label-Alignment-Based Multi-Task Feature Selection for Multimodal Classification of Brain Disease. MLINI@NIPS 2014: 51-59 - 2013
- [j1]Shan Gao, Chen Zu, Daoqiang Zhang:
Learning mid-perpendicular hyperplane similarity from cannot-link constraints. Neurocomputing 113: 195-203 (2013) - 2012
- [c1]Chen Zu, Daoqiang Zhang:
Sparsity Preserving Canonical Correlation Analysis. CCPR 2012: 56-63
Coauthor Index
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