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2020 – today
- 2025
[j9]Yifeng Wang, Luyang Luo, Mingxiang Wu, Qiong Wang, Hao Chen:
Learning robust medical image segmentation from multi-source annotations. Medical Image Anal. 101: 103489 (2025)- 2024
- [j8]Luyang Luo, Daguang Xu
, Jing Qin, Yueming Jin, Hao Chen:
Guest Editorial: Trustworthy Machine Learning for Health Informatics. IEEE J. Biomed. Health Informatics 28(11): 6370-6372 (2024) - [j7]Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen:
Deep Omni-Supervised Learning for Rib Fracture Detection From Chest Radiology Images. IEEE Trans. Medical Imaging 43(5): 1972-1982 (2024) - [j6]Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen:
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher. IEEE Trans. Medical Imaging 43(11): 3964-3976 (2024) - [c14]Yequan Bie, Luyang Luo, Hao Chen:
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment. AAAI 2024: 837-845 - [c13]Wenqiang Li, Luyang Luo, Hao Chen:
Bootstrapping Radiography Pre-training via Siamese Masked Vision-Language Modeling with Complementary Self-distillation. BIBM 2024: 1573-1578 - [c12]Zhipeng Deng, Luyang Luo, Hao Chen:
Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging. MICCAI (10) 2024: 240-250 - [c11]Shu Yang, Luyang Luo, Qiong Wang, Hao Chen:
Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition. MICCAI (6) 2024: 606-616 - [c10]Yequan Bie, Luyang Luo, Zhixuan Chen, Hao Chen:
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-Guided Context Optimization. MICCAI (12) 2024: 773-783 - [i32]Yequan Bie, Luyang Luo, Hao Chen:
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment. CoRR abs/2401.08527 (2024) - [i31]Luyang Luo, Xin Huang, Minghao Wang, Zhuoyue Wan, Hao Chen:
Medical Image Debiasing by Learning Adaptive Agreement from a Biased Council. CoRR abs/2401.11713 (2024) - [i30]Yequan Bie, Luyang Luo, Zhixuan Chen, Hao Chen:
XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization. CoRR abs/2403.09410 (2024) - [i29]Zhixuan Chen, Luyang Luo, Yequan Bie, Hao Chen:
Dia-LLaMA: Towards Large Language Model-driven CT Report Generation. CoRR abs/2403.16386 (2024) - [i28]Huajun Zhou, Fengtao Zhou, Chenyu Zhao, Yingxue Xu, Luyang Luo, Hao Chen:
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions. CoRR abs/2406.19611 (2024) - [i27]Zhipeng Deng, Luyang Luo, Hao Chen:
Enable the Right to be Forgotten with Federated Client Unlearning in Medical Imaging. CoRR abs/2407.02356 (2024) - [i26]Shu Yang, Luyang Luo, Qiong Wang, Hao Chen:
Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition. CoRR abs/2408.03867 (2024) - [i25]Luyang Luo, Mingxiang Wu, Mei Li, Yi Xin, Qiong Wang, Varut Vardhanabhuti, Winnie C. W. Chu, Zhenhui Li, Juan Zhou, Pranav Rajpurkar, Hao Chen:
Towards Non-invasive and Personalized Management of Breast Cancer Patients from Multiparametric MRI via A Large Mixture-of-Modality-Experts Model. CoRR abs/2408.12606 (2024) - [i24]Shu Yang, Zhiyuan Cai, Luyang Luo, Ning Ma, Shuchang Xu, Hao Chen:
SurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition. CoRR abs/2409.20083 (2024) - [i23]Luyang Luo, Jenanan Vairavamurthy, Xiaoman Zhang, Abhinav Kumar, Ramon R. Ter-Oganesyan, Stuart T. Schroff, Dan Shilo, Rydhwana Hossain, Mike Moritz, Pranav Rajpurkar:
ReXplain: Translating Radiology into Patient-Friendly Video Reports. CoRR abs/2410.00441 (2024) - [i22]Junlin Hou, Sicen Liu, Yequan Bie, Hongmei Wang, Andong Tan, Luyang Luo, Hao Chen:
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks. CoRR abs/2410.02331 (2024) - [i21]Cheng Jin, Luyang Luo, Huangjing Lin, Jun Hou, Hao Chen:
HMIL: Hierarchical Multi-Instance Learning for Fine-Grained Whole Slide Image Classification. CoRR abs/2411.07660 (2024) - 2023
- [j5]Yuhan Zhang, Luyang Luo, Qi Dou, Pheng-Ann Heng:
Triplet attention and dual-pool contrastive learning for clinic-driven multi-label medical image classification. Medical Image Anal. 86: 102772 (2023) - [c9]Zhipeng Deng, Luyang Luo, Hao Chen:
Scale Federated Learning for Label Set Mismatch in Medical Image Classification. MICCAI (3) 2023: 118-127 - [c8]Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen:
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification. MICCAI (6) 2023: 467-476 - [e1]Hao Chen, Luyang Luo:
Trustworthy Machine Learning for Healthcare - First International Workshop, TML4H 2023, Virtual Event, May 4, 2023, Proceedings. Lecture Notes in Computer Science 13932, Springer 2023, ISBN 978-3-031-39538-3 [contents] - [i20]Cheng Jin, Zhengrui Guo, Yi Lin, Luyang Luo, Hao Chen:
Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions. CoRR abs/2303.12484 (2023) - [i19]Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen:
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification. CoRR abs/2303.15749 (2023) - [i18]Yifeng Wang, Luyang Luo, Mingxiang Wu, Qiong Wang, Hao Chen:
Learning Agreement from Multi-source Annotations for Medical Image Segmentation. CoRR abs/2304.00466 (2023) - [i17]Luyang Luo, Xi Wang, Yi Lin, Xiaoqi Ma, Andong Tan, Ronald C. K. Chan, Varut Vardhanabhuti, Winnie C. W. Chu, Kwang-Ting Cheng, Hao Chen:
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions. CoRR abs/2304.06662 (2023) - [i16]Zhipeng Deng, Luyang Luo, Hao Chen:
Scale Federated Learning for Label Set Mismatch in Medical Image Classification. CoRR abs/2304.06931 (2023) - [i15]Yanwen Li, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen:
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical Images. CoRR abs/2305.19063 (2023) - [i14]Jia-Xin Zhuang, Luyang Luo, Hao Chen:
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder. CoRR abs/2306.08913 (2023) - [i13]Zhizhong Chai, Luyang Luo, Huangjing Lin, Pheng-Ann Heng, Hao Chen:
Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images. CoRR abs/2306.13301 (2023) - [i12]Jia-Xin Zhuang, Luyang Luo, Zhixuan Chen, Linshan Wu:
Iterative Semi-Supervised Learning for Abdominal Organs and Tumor Segmentation. CoRR abs/2310.01159 (2023) - [i11]Hongyi Wang, Luyang Luo, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin, Hao Chen:
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher. CoRR abs/2312.01099 (2023) - 2022
- [c7]Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Anjia Han, Pheng-Ann Heng:
Deep Semi-Supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. ISBI 2022: 1-5 - [c6]Zhizhong Chai, Huangjing Lin, Luyang Luo, Pheng-Ann Heng, Hao Chen:
ORF-Net: Deep Omni-Supervised Rib Fracture Detection from Chest CT Scans. MICCAI (3) 2022: 238-248 - [c5]Luyang Luo, Dunyuan Xu, Hao Chen, Tien-Tsin Wong, Pheng-Ann Heng:
Pseudo Bias-Balanced Learning for Debiased Chest X-Ray Classification. MICCAI (8) 2022: 621-631 - [i10]Luyang Luo, Dunyuan Xu, Hao Chen, Tien-Tsin Wong, Pheng-Ann Heng:
Pseudo Bias-Balanced Learning for Debiased Chest X-ray Classification. CoRR abs/2203.09860 (2022) - [i9]Zhizhong Chai, Huangjing Lin, Luyang Luo, Pheng-Ann Heng, Hao Chen:
ORF-Net: Deep Omni-supervised Rib Fracture Detection from Chest CT Scans. CoRR abs/2207.01842 (2022) - 2021
- [c4]Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
Dual-Consistency Semi-supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images. MICCAI (2) 2021: 199-209 - [c3]Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng:
OXnet: Deep Omni-Supervised Thoracic Disease Detection from Chest X-Rays. MICCAI (2) 2021: 537-548 - [i8]Luyang Luo, Hao Chen, Yanning Zhou, Huangjing Lin, Pheng-Ann Heng:
OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays. CoRR abs/2104.03218 (2021) - [i7]Yanwen Li, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images. CoRR abs/2104.03225 (2021) - [i6]Zhizhong Chai, Luyang Luo, Huangjing Lin, Hao Chen, Pheng-Ann Heng:
Deep Semi-supervised Metric Learning with Dual Alignment for Cervical Cancer Cell Detection. CoRR abs/2104.03265 (2021) - [i5]Luyang Luo, Hao Chen, Yongjie Xiao, Yanning Zhou, Xi Wang, Varut Vardhanabhuti, Mingxiang Wu, Pheng-Ann Heng:
Rethinking annotation granularity for overcoming deep shortcut learning: A retrospective study on chest radiographs. CoRR abs/2104.10553 (2021) - 2020
- [j4]Xi Wang, Hao Chen, An-ran Ran, Luyang Luo, Poemen P. Chan, Clement C. Tham, Robert T. Chang, Suria S. Mannil, Carol Y. Cheung, Pheng-Ann Heng:
Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning. Medical Image Anal. 63: 101695 (2020) - [j3]Xi Wang, Fangyao Tang, Hao Chen, Luyang Luo, Ziqi Tang, An-ran Ran, Carol Y. Cheung, Pheng-Ann Heng:
UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification. IEEE J. Biomed. Health Informatics 24(12): 3431-3442 (2020) - [j2]Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng:
Semi-Supervised Medical Image Classification With Relation-Driven Self-Ensembling Model. IEEE Trans. Medical Imaging 39(11): 3429-3440 (2020) - [j1]Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng:
Deep Mining External Imperfect Data for Chest X-Ray Disease Screening. IEEE Trans. Medical Imaging 39(11): 3583-3594 (2020) - [i4]Quande Liu, Lequan Yu, Luyang Luo, Qi Dou, Pheng-Ann Heng:
Semi-supervised Medical Image Classification with Relation-driven Self-ensembling Model. CoRR abs/2005.07377 (2020) - [i3]Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng:
Deep Mining External Imperfect Data for Chest X-ray Disease Screening. CoRR abs/2006.03796 (2020)
2010 – 2019
- 2019
- [c2]Xi Wang, Hao Chen, Luyang Luo, An-ran Ran, Poemen P. Chan, Clement C. Tham, Carol Y. Cheung, Pheng-Ann Heng:
Unifying Structure Analysis and Surrogate-Driven Function Regression for Glaucoma OCT Image Screening. MICCAI (1) 2019: 39-47 - [c1]Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng:
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. MICCAI (4) 2019: 504-512 - [i2]Luyang Luo, Hao Chen, Xi Wang, Qi Dou, Huangjing Lin, Juan Zhou, Gongjie Li, Pheng-Ann Heng:
Deep Angular Embedding and Feature Correlation Attention for Breast MRI Cancer Analysis. CoRR abs/1906.02999 (2019) - [i1]Xi Wang, Hao Chen, Luyang Luo, An-ran Ran, Poemen P. Chan, Clement C. Tham, Carol Y. Cheung, Pheng-Ann Heng:
Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening. CoRR abs/1907.12927 (2019)
Coauthor Index
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