Selected Publications
For a full list of publications, please visit the Google Scholar page.Note: * = equal contribution, # = correspondence
Post-hoc Part-prototype Networks
Andong Tan, Fengtao Zhou, Hao Chen#
ICML, 2024
- GitHub Repository: Dootmaan/ICMIL
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher
Hongyi Wang*, Luyang Luo*, Fang Wang, Ruofeng Tong, Yen-Wei Chen, Hongjie Hu, Lanfen Lin#, Hao Chen#
IEEE Transactions on Medical Imaging, 2024
- GitHub Repository: zylbuaa/pibd
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction, Spotlight
Yilan Zhang*, Yingxue Xu*, Jianqi Chen, Fengying Xie#, Hao Chen#
ICLR, 2024
- GitHub Repository: YutingHe-list/Awesome-Foundation-Models-for-Advancing-Healthcare
Foundation Model for Advancing Healthcare: Challenges, Opportunities and Future Directions
Yuting He, Fuxiang Huang, Xinrui Jiang, Yuxiang Nie, Minghao Wang, Jiguang Wang, Hao Chen#
arXiv Preprint, 2404.03264
- GitHub Repository: FT-ZHOU-ZZZ/iMD4GC
iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer
Fengtao Zhou, Yingxue Xu, Yanfen Cui, Shenyan Zhang, Yun Zhu, Weiyang He, Jiguang Wang, Xin Wang, Ronald Chan, Louis Ho Shing Lau, Chu Han, Dafu Zhang, Zhenhui Li#, Hao Chen#
arXiv Preprint, 2404.01192
- GitHub Repository: Xiao-OMG/OvcaFinder
OvcaFinder: Development and Validation of an Interpretable Model Integrating Multimodal Information for Improving Ovarian Cancer Diagnosis: A Retrospective Study
Huiling Xiang*, Yongjie Xiao*, Fang Li*, Chunyan Li, Lixian Liu, Tingting Deng, Cuiju Yan, Fengtao Zhou, Xi Wang, Jinjing Ou, Qingguang Lin, Ruixia Hong, Lishu Huang, Luyang Luo, Huangjing Lin, Xi Lin#, Hao Chen#
Nature Communications, 2024
- GitHub Repository: jhb86253817/PromptMRG
PromptMRG: Diagnosis-driven prompts for medical report generation
Haibo Jin, Haoxuan Che, Yi Lin, Hao Chen#
AAAI, 2024
- GitHub Repository: Luffy03/VoCo
VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis
Linshan Wu, Jiaxin Zhuang, Hao Chen#
CVPR, 2024
- GitHub Repository: isyangshu/MambaMIL
Mambamil: Enhancing long sequence modeling with sequence reordering in computational pathology
Shu Yang*, Yihui Wang*, Hao Chen#
MICCAI, 2024
- GitHub Repository: zhizhongchai/ORF-Net
Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images
Zhizhong Chai*, Luyang Luo*, Huangjing Lin, Pheng-Ann Heng, Hao Chen#
IEEE Transactions on Medical Imaging, 2024
- GitHub Repository: Innse/MOTCat
Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction
Yingxue Xu, Hao Chen#
ICCV, 2023
- GitHub Repository: xiaofang007/CTO
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation
Yi Lin*, Dong Zhang*, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen#
IPMI, 2023
- GitHub Repository: FT-ZHOU-ZZZ/CMTA
Cross-Modal Translation and Alignment for Survival Analysis
Fengtao Zhou, Hao Chen#
ICCV, 2023
- GitHub Repository: chehx/MKCNet
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Haoxuan Che, Siyu Chen, Hao Chen#
CVPR, 2023
- GitHub Repository: DeepDoNet/DoNet
DoNet: Deep De-overlapping Network for Cytology Instance Segmentation
Hao Jiang*, Rushan Zhang*, Yanning Zhou, Yumeng Wang, Hao Chen#
CVPR, 2023
Dual-path Network with Synergistic Grouping Loss and Evidence Driven Risk Stratification for Whole Slide Cervical Image Analysis One of largest cervical screening WSI datasets
Huangjing Lin*#, Hao Chen*, Xi Wang, Qiong Wang, Liansheng Wang, Pheng-Ann Heng
Medical Image Analysis, 2021
Towards a new generation of artificial intelligence in China
Fei Wu*, Cewu Lu*, Mingjie Zhu*, Hao Chen, Jun Zhu, Kai Yu, Lei Li, Ming Li, Qifeng Chen, Xi Li, Xudong Cao, Zhongyuan Wang, Zhengjun Zha, Yueting Zhuang, Yunhe Pan#
Nature Machine Intelligence, 2020
Detection of Glaucomatous Optic Neuropathy with Spectral-domain Optical Coherence Tomography: a Retrospective Training and Validation Deep-learning Analysis, Journal Cover Page
An Ran Ran, Carol Y Cheung#, Xi Wang, Hao Chen, Lu-yang Luo, et al.
Lancet Digital Health, 2019
- Editorial Comment: Will AI Improve Tumor Delineation Accuracy for Radiation Therapy?
Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma
Li Lin*, Qi Dou*, Yue-Ming Jin, Guan-Qun Zhou, Yi-Qiang Tang, Wei-Lin Chen, Bao-An Su#, Feng Liu, Chang-Juan Tao, Ning Jiang, Jun-Yun Li, Ling-Long Tang, Chuan-Miao Xie, Shao-Min Huang, Jun Ma, Pheng-Ann Heng, Joseph T. S. Wee, Melvin L. K. Chua, Hao Chen, Ying Sun#
Radiology, 2019
VoxResNet: Deep Voxelwise Residual Networks for Brain Segmentation from 3D MR Images, Most Cited Articles
Hao Chen#, Qi Dou#, Lequan Yu, Jing Qin, Pheng-Ann Heng
NeuroImage, 2018
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women with Breast Cancer, First Large-scale WSI Study
Bejnordi B E#, Veta M, Van Diest P J, Hao Chen, Huangjing Lin, et al.
JAMA, 2017
3D deeply supervised network for automated segmentation of volumetric medical images, MIA-Elsevier Best Paper Award
Qi Dou, Lequan Yu, Hao Chen, Yueming Jin, Xin Yang, Jing Qin#, Pheng-Ann Heng
Medical Image Analysis, 2017
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation, Winner of MICCAI GlaS Challenge
Hao Chen, Xiaojuan Qi, Lequan Yu, Pheng-Ann Heng#
CVPR, 2016
Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks, MICCAI Young Scientist Publication Impact Award
Hao Chen, Qi Dou, Dong Ni#, Jie-Zhi Cheng, Jing Qin, Shengli Li, Pheng-Ann Heng
MICCAI, 2015