Publications
Full list on Google Scholar (incl. preprints)
2025
An evaluation framework for clinical use of large language models in patient interaction tasks
Shreya Johri, Jaehwan Jeong, Benjamin A Tran, Daniel I Schlessinger, Shannon Wongvibulsin, Leandra A Barnes, Hong-Yu Zhou, Zhuo Ran Cai, Eliezer M Van Allen, David Kim, Roxana Daneshjou, Pranav Rajpurkar
Nature Medicine, 2025
Self-improving generative foundation model for synthetic medical image generation and clinical applications
Jinzhuo Wang, Kai Wang, Yunfang Yu, Yuxing Lu, ..., Hong-Yu Zhou, ..., Kang Zhang, Jia Qu
Nature Medicine, 2025
MetaGP: A Generative Foundation Model Integrating Electronic Health Records and Multimodal Imaging for Addressing Unmet Clinical Needs
Fei Liu, Hong-Yu Zhou, Kai Wang, Yunfang Yu, ..., Kang Zhang
Cell Reports Medicine, 2025
Multimodal Generative AI for Interpreting 3D Medical Images and Videos
Jung-Oh Lee, Hong-Yu Zhou, Tyler M Berzin, Daniel K Sodickson, Pranav Rajpurkar
npj Digital Medicine, 2025
BenchReAD: A Systematic Benchmark for Retinal Anomaly Detection
Chenyu Lian, Hong-Yu Zhou, Zhanli Hu, Jing Qin
MICCAI, 2025
Efficient Medical Vision-Language Alignment Through Adapting Masked Vision Models
Chenyu Lian, Hong-Yu Zhou, Dongyun Liang, Jing Qin, Liansheng Wang
IEEE Transactions on Medical Imaging, 2025
Multi-Modal Longitudinal Representation Learning for Predicting Neoadjuvant Therapy Response in Breast Cancer Treatment
Yuan Gao, Tao Tan, Xin Wang, Regina Beets-Tan, Tianyu Zhang, ..., Hong-Yu Zhou, Ritse Mann
IEEE Journal of Biomedical and Health Informatics, 2025
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition
Meng Lou, Shu Zhang, Hong-Yu Zhou, Sibei Yang, Chuan Wu, Yizhou Yu
IEEE Transactions on Neural Networks and Learning Systems, 2025
SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging
Meng Lou, Hanning Ying, Xiaoqing Liu, Hong-Yu Zhou, Yuqin Zhang, Yizhou Yu
Neural Networks, 2025
MedTrinity-25M: A Large-Scale Multimodal Dataset with Multigranular Annotations for Medicine
Yunfei Xie, Ce Zhou, Lang Gao, ..., Hong-Yu Zhou, ..., Cihang Xie, Yuyin Zhou
ICLR, 2025
2024
Enhancing Representation in Radiography-Reports Foundation Model: A Granular Alignment Algorithm Using Masked Contrastive Learning
Weijian Huang, Cheng Li, Hong-Yu Zhou, Hao Yang, Jiarun Liu, Yong Liang, Hairong Zheng, Shaoting Zhang, Shanshan Wang
Nature Communications, 2024
An Explainable Longitudinal Multi-Modal Fusion Model for Predicting Neoadjuvant Therapy Response in Women with Breast Cancer
Yuan Gao, ..., Hong-Yu Zhou, ..., Tao Tan, Ritse Mann
Nature Communications, 2024
Concepts and Applications of Digital Twins in Healthcare and Medicine
Kang Zhang, Hong-Yu Zhou, Daniel T Baptista-Hon, ..., Joseph Wu
Patterns, 2024
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective
Chaoqi Chen, Yushuang Wu, Qiyuan Dai, Hong-Yu Zhou, Mutian Xu, Sibei Yang, Xiaoguang Han, Yizhou Yu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
Swin-UMamba†: Adapting Mamba-Based Vision Foundation Models for Medical Image Segmentation
Jiarun Liu, Hao Yang, Hong-Yu Zhou, Lequan Yu, Yong Liang, Yizhou Yu, Shaoting Zhang, Hairong Zheng, Shanshan Wang
IEEE Transactions on Medical Imaging, 2024
Swin-UMamba: Mamba-Based UNet with ImageNet-Based Pretraining
Jiarun Liu, Hao Yang, Hong-Yu Zhou, et al.
MICCAI, 2024
Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation
Fei Gao, Siwen Wang, Churan Wang, Fandong Zhang, Hong-Yu Zhou, Yizhou Wang, Gang Yu, Yizhou Yu
MICCAI, 2024
Improving Neoadjuvant Therapy Response Prediction by Integrating Longitudinal Mammogram Generation with Cross-Modal Radiological Reports
Yuan Gao, Hong-Yu Zhou, Xin Wang, et al.
MICCAI, 2024
2023
A Transformer-Based Representation-Learning Model with Unified Processing of Multimodal Input for Clinical Diagnostics
Hong-Yu Zhou, Yizhou Yu, Chengdi Wang, Shu Zhang, Yuanxu Gao, Jia Pan, Jun Shao, Guangming Lu, Kang Zhang, Weimin Li
Nature Biomedical Engineering, 2023
A Unified Visual Information Preservation Framework for Self-Supervised Pre-Training in Medical Image Analysis
Hong-Yu Zhou, Chixiang Lu, Chaoqi Chen, Sibei Yang, Yizhou Yu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
nnFormer: Volumetric Medical Image Segmentation via a 3D Transformer
Hong-Yu Zhou, Jiansen Guo, Yinghao Zhang, Xiaoguang Han, Lequan Yu, Liansheng Wang, Yizhou Yu
IEEE Transactions on Image Processing, 2023
Protein Representation Learning via Knowledge Enhanced Primary Structure Modeling
Hong-Yu Zhou, Yunxiang Fu, Zhicheng Bian, Cheng Bian, Yizhou Yu
ICLR, 2023
Advancing Radiograph Representation Learning with Masked Record Modeling
Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu
ICLR, 2023
Activate and Reject: Towards Safe Domain Generalization Under Category Shift
Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu
ICCV, 2023
DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models
Ge Zheng, Bin Yang, Jiajin Tang, Hong-Yu Zhou, Sibei Yang
NeurIPS, 2023
2022
Generalized Radiograph Representation Learning via Cross-Supervision Between Images and Free-Text Radiology Reports
Hong-Yu Zhou, Xiaoyu Chen, Yinghao Zhang, Ruibang Luo, Liansheng Wang, Yizhou Yu
Nature Machine Intelligence, 2022
GraVIS: Grouping Augmented Views From Independent Sources for Dermatology Analysis
Hong-Yu Zhou, Chixiang Lu, Liansheng Wang, Yizhou Yu
IEEE Transactions on Medical Imaging, 2022
MASS: Modality-Collaborative Semi-Supervised Segmentation by Exploiting Cross-Modal Consistency from Unpaired CT and MRI Images
Xiaoyu Chen, Hong-Yu Zhou, Feng Liu, Jiansen Guo, Liansheng Wang, Yizhou Yu
Medical Image Analysis, 2022
Relation Matters: Foreground-Aware Graph-Based Relational Reasoning for Domain Adaptive Object Detection
Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang, Xinghao Ding, Yizhou Yu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Development and Validation of an Abnormality-Derived Deep-Learning Diagnostic System for Major Respiratory Diseases
Chengdi Wang, Jiechao Ma, Shu Zhang, ..., Hong-Yu Zhou, ..., Weimin Li
npj Digital Medicine, 2022
2021
Preservational Learning Improves Self-Supervised Medical Image Models by Reconstructing Diverse Contexts
Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, Yizhou Yu
ICCV, 2021
SSMD: Semi-Supervised Medical Image Detection with Adaptive Consistency and Heterogeneous Perturbation
Hong-Yu Zhou, Chengdi Wang, Haofeng Li, Gang Wang, Shu Zhang, Weimin Li, Yizhou Yu
Medical Image Analysis, 2021
ConvNets vs. Transformers: Whose Visual Representations Are More Transferable?
Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Yizhou Yu
ICCV, 2021
Generalized Organ Segmentation by Imitating One-Shot Reasoning Using Anatomical Correlation
Hong-Yu Zhou, Hualuo Liu, Shilei Cao, Dong Wei, Chixiang Lu, Yizhou Yu, Kai Ma, Yefeng Zheng
IPMI, 2021
2020
Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs by Comparing Image Representations
Hong-Yu Zhou, Shuang Yu, Cheng Bian, Yifan Hu, Kai Ma, Yefeng Zheng
MICCAI, 2020
Difficulty-Aware Glaucoma Classification with Multi-Rater Consensus Modeling
Shuang Yu, Hong-Yu Zhou, Kai Ma, Cheng Bian, Chunyan Chu, Hanruo Liu, Yefeng Zheng
MICCAI, 2020
2018
ThiNet: Pruning CNN Filters for a Thinner Net
Jian-Hao Luo, Hao Zhang, Hong-Yu Zhou, Chen-Wei Xie, Jianxin Wu, Weiyao Lin
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018
Age Estimation Using Expectation of Label Distribution Learning
Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng
IJCAI, 2018
2017
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors
Hong-Yu Zhou, Bin-Bin Gao, Jianxin Wu
ICCV, 2017
