Selected Publications

For a full list of publications, please visit the Google Scholar page.
Note: * = equal contribution, # = correspondence

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation

Hao Jiang, Cheng Jin, Huangjing Lin*, Yanning Zhou, Xi Wang, Jiabo Ma, Li Ding, Jun Hou, Runsheng Liu, Zhizhong Chai, Luyang Luo, Huijuan Shi, Yinling Qian, Qiong Wang, Changzhong Li#, Anjia Han#, Ronald Cheong Kin Chan#, Hao Chen#

arXiv Preprint, 2502.09662

Learning co-plane attention across MRI sequences for diagnosing twelve types ofknee abnormalities

Zelin Qiu, Zhuoyao Xie, Huangjing Lin, Yanwen Li, Qiang Ye, Menghong Wang, Shisi Li, Yinghua Zhao#, Hao Chen#

Nature Communications, 2024

GitHub Repository: zqiuak/CoPAS

Non-Invasive and Personalized Management of Breast Cancer Patients through a Large Mixture of Modality Experts Model for Multiparametric MRI

Luyang Luo, Mingxiang Wu, Mei Li, Yi Xin, Qiong Wang, Varut Vardhanabhuti, Winnie CW Chu, Zhenhui Li#, Juan Zhou#, Pranav Rajpurkar, Hao Chen#

arXiv Preprint, 2408.12606

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation

Jiabo Ma, Zhengrui Guo, Fengtao Zhou, Yihui Wang, Yingxue Xu, Jinbang Li, Fang Yan, Yu Cai, Zhengjie Zhu, Cheng Jin, Yi Lin, Xinrui Jiang, Anjia Han, Zhenhui Li, Ronald Cheong Kin Chan, Jiguang Wang, Peng Fei, Kwang-Ting Cheng, Shaoting Zhang#, Li Liang#, Hao Chen#

arXiv Preprint, 2407.18449

A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model

Yingxue Xu, Yihui Wang, Fengtao Zhou*, Jiabo Ma, Cheng Jin, Shu Yang, Jinbang Li, Zhengyu Zhang, Chenglong Zhao, Huajun Zhou, Zhenhui Li, Huangjing Lin, Xin Wang, Jiguang Wang, Anjia Han, Ronald Cheong Kin Chan, Li Liang, Xiuming Zhang, Hao Chen#

arXiv Preprint, 2407.15362

Post-hoc Part-prototype Networks

Andong Tan, Fengtao Zhou, Hao Chen#

ICML, 2024

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: Dootmaan/ICMIL

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: zylbuaa/pibd

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: YutingHe-list/Awesome-Foundation-Models-for-Advancing-Healthcare

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: FT-ZHOU-ZZZ/iMD4GC

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: Xiao-OMG/OvcaFinder

PromptMRG: Diagnosis-driven prompts for medical report generation

Haibo Jin, Haoxuan Che, Yi Lin, Hao Chen#

AAAI, 2024

GitHub Repository: jhb86253817/PromptMRG

VoCo: A Simple-yet-Effective Volume Contrastive Learning Framework for 3D Medical Image Analysis

Linshan Wu, Jiaxin Zhuang, Hao Chen#

CVPR, 2024

GitHub Repository: Luffy03/VoCo

Mambamil: Enhancing long sequence modeling with sequence reordering in computational pathology

Shu Yang, Yihui Wang, Hao Chen#

MICCAI, 2024

GitHub Repository: isyangshu/MambaMIL

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: zhizhongchai/ORF-Net

Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction

Yingxue Xu, Hao Chen#

ICCV, 2023

GitHub Repository: Innse/MOTCat

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: xiaofang007/CTO

Cross-Modal Translation and Alignment for Survival Analysis

Fengtao Zhou, Hao Chen#

ICCV, 2023

GitHub Repository: FT-ZHOU-ZZZ/CMTA

Image Quality-aware Diagnosis via Meta-knowledge Co-embedding

Haoxuan Che, Siyu Chen, Hao Chen#

CVPR, 2023

GitHub Repository: chehx/MKCNet

DoNet: Deep De-overlapping Network for Cytology Instance Segmentation

Hao Jiang, Rushan Zhang, Yanning Zhou, Yumeng Wang, Hao Chen#

CVPR, 2023

GitHub Repository: DeepDoNet/DoNet

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

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

Editorial Comment: Will AI Improve Tumor Delineation Accuracy for Radiation Therapy?

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

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

Selected Publications

Hao Jiang*, Cheng Jin*, Huangjing Lin*, Yanning Zhou, Xi Wang, Jiabo Ma, Li Ding, Jun Hou, Runsheng Liu, Zhizhong Chai, Luyang Luo, Huijuan Shi, Yinling Qian, Qiong Wang, Changzhong Li#, Anjia Han#, Ronald Cheong Kin Chan#, Hao Chen#