Multimodal Health Intelligence Lab

Publications

† indicates corresponding authorship and * indicates co-first authorship.

2026

REFLEX-Med: Reinforcement with Label-Free Explainability for Unified Medical Reasoning
REFLEX-Med: Reinforcement with Label-Free Explainability for Unified Medical Reasoning
Luyao Tang , Zheyuan Cai , Qinong Tian , Zi Li , Quande Liu , Yue Huang , Kyongtae T Bae , Cheng Chen
15th IEEE Image, Video, and Multidimensional Signal Processing Workshop (IEEE IVMSP)2026
[Best Paper Award]
CoGe-GCD: Reframing Generalized Category Discovery with Compositional Generalization
CoGe-GCD: Reframing Generalized Category Discovery with Compositional Generalization
Luyao Tang , Jiewei Zheng , Kunze Huang , Chaoqi Chen , Yue Huang , Cheng Chen
International Conference on Machine Learning (ICML)2026
Generalized Biomedicine Discovery
Generalized Biomedicine Discovery
Luyao Tang , Yingkai Yang , Hanqi Chen , Jiewei Zheng , Chaoqi Chen , Cheng Chen
European Conference on Computer Vision (ECCV)2026
SynerMedGen: Synergizing Medical Multimodal Understanding with Generation via Task Alignment
SynerMedGen: Synergizing Medical Multimodal Understanding with Generation via Task Alignment
Weiren Zhao , Yi Dong , Cheng Chen
International Conference on Machine Learning (ICML)2026
Unleashing the Power of Image-Tabular Self-Supervised Learning via Breaking Cross-Tabular Barriers
Unleashing the Power of Image-Tabular Self-Supervised Learning via Breaking Cross-Tabular Barriers
Yibing Fu , Yunpeng Zhao , Zhitao Zeng , Cheng Chen , Yueming Jin
AAAI Conference on Artificial Intelligence (AAAI)2026
Tackling Dual-stage Missing Modalities in Brain Tumor Segmentation via Robust Modality Reconstruction and Prompt-guided Modality Adaptation
Tackling Dual-stage Missing Modalities in Brain Tumor Segmentation via Robust Modality Reconstruction and Prompt-guided Modality Adaptation
Yunpeng Zhao* , Cheng Chen* , Qing You Pang , Yibing Fu , Quanzheng Li , Carol Tang , Beng Ti Ang , Yueming Jin
AAAI Conference on Artificial Intelligence (AAAI)2026
Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection
Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection
Pengfei Jin* , Peng Shu* , Sifan Song , Sekeun Kim , Qing Xiao , Cheng Chen , Tianming Liu , Xiang Li , Quanzheng Li
AAAI Conference on Artificial Intelligence (AAAI)2026
SAM-Driven Cross Prompting with Adaptive Sampling Consistency for Semi-supervised Medical Image Segmentation
SAM-Driven Cross Prompting with Adaptive Sampling Consistency for Semi-supervised Medical Image Segmentation
Juzheng Miao , Cheng Chen , Yuchen Yuan , Quanzheng Li , Pheng-Ann Heng
Medical Image Analysis (MedIA)2026
Bures-Isotropy Alignment: Manifold Learning of Generalized Category Discovery
Bures-Isotropy Alignment: Manifold Learning of Generalized Category Discovery
Luyao Tang* , Kunze Huang* , Chaoqi Chen , Cheng Chen
International Conference on Learning Representations (ICLR)2026
Bridging Vision Foundation Model Priors with CLIP for Spatial-aware Few-shot Anomaly Detection in Medical Images
Bridging Vision Foundation Model Priors with CLIP for Spatial-aware Few-shot Anomaly Detection in Medical Images
Juzheng Miao , Yuchen Yuan , Cheng Chen , Pheng-Ann Heng
Medical Image Computing and Computer Assisted Intervention (MICCAI)2026
Mask SAM 3D for Coronary Artery and Plaque Segmentation in CCTA Images
Mask SAM 3D for Coronary Artery and Plaque Segmentation in CCTA Images
RenZhe Tu , CongYu Tian , LinYuan Wang , YongZhi Deng , Cheng Chen , WeiXin Si , ShanShan Wang
International Journal of Computer Assisted Radiology and Surgery (IJCARS)2026
Deep Model Adaptation without Target Labels on Cross-domain Medical Images
Deep Model Adaptation without Target Labels on Cross-domain Medical Images
Cheng Chen , Quande Liu , Qi Dou , Pheng Ann Heng
Less-supervised Segmentation with CNNs2026

2025

EchoFM: Foundation Model for Generalizable Echocardiogram Analysis
EchoFM: Foundation Model for Generalizable Echocardiogram Analysis
Sekeun Kim , Pengfei Jin , Shuai Song , Cheng Chen , Yuhui Li , Hanwen Ren , Xiang Li , Tianming Liu , Quanzheng Li
IEEE Transactions on Medical Imaging (TMI)2025
Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination
Cerebrovascular Diseases Screening from Color Fundus Photography via Cross-View Fusion and Graph-Based Discrimination
Congyu Tian , Shihao Zou , Xiangyun Liao , Cheng Chen , Chubin Ou , Jianping Lv , Shanshan Wang , Weixin Si
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)2025
Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport
Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport
Qinkai Yu , Jianyang Xie , Yitian Zhao , Cheng Chen , Lijun Zhang , Liming Chen , Jun Cheng , Lu Liu , Yalin Zheng , Yanda Meng
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)2025
GM-ABS: Promptable Generalist Model Drives Active Barely Supervised Training in Specialist Model for 3D Medical Image Segmentation
GM-ABS: Promptable Generalist Model Drives Active Barely Supervised Training in Specialist Model for 3D Medical Image Segmentation
Zhe Xu , Cheng Chen , Donghuan Lu , Jinghan Sun , Dong Wei , Yefeng Zheng , Quanzheng Li , Raymond Kai-yu Tong
IEEE Transactions on Medical Imaging (TMI)2025
LLM-Guided Decoupled Probabilistic Prompt for Continual Learning in Medical Image Diagnosis
LLM-Guided Decoupled Probabilistic Prompt for Continual Learning in Medical Image Diagnosis
Yiwen Luo , Wuyang Li , Cheng Chen , Xiang Li , Tianming Liu , Tianye Niu , Yixuan Yuan
IEEE Transactions on Medical Imaging (TMI)2025
Towards Fair Decentralized Benchmarking of Healthcare AI Algorithms with the Federated Tumor Segmentation FeTS Challenge
Towards Fair Decentralized Benchmarking of Healthcare AI Algorithms with the Federated Tumor Segmentation (FeTS) Challenge
Maximilian Zenk , Ujjwal Baid , Sarthak Pati , et al. for challenge summary report.
Nature Communications2025
Enhancing Diagnostic Accuracy in Rare and Common Fundus Diseases with a Knowledge-Rich Vision-Language Model
Enhancing Diagnostic Accuracy in Rare and Common Fundus Diseases with a Knowledge-Rich Vision-Language Model
Meng Wang , Tian Lin , Aidi Lin , Kai Yu , Yuanyuan Peng , Lianyu Wang , et al.
Nature Communications2025
Multi-Organ Segmentation From Partially Labeled and Unaligned Multi-Modal MRI in Thyroid-Associated Orbitopathy
Multi-Organ Segmentation From Partially Labeled and Unaligned Multi-Modal MRI in Thyroid-Associated Orbitopathy
Cheng Chen , Min Deng , Yuan Zhong , Jinyue Cai , Karen Kar Wun Chan , Qi Dou , Kelvin Kam Lung Chong , Pheng-Ann Heng , Winnie Chiu-Wing Chu
IEEE Journal of Biomedical and Health Informatics (JBHI)2025
Radiology-GPT: A Large Language Model for Radiology
Radiology-GPT: A Large Language Model for Radiology
Zhengliang Liu , Yiwei Li , Peng Shu , et al.
Meta-Radiology2025
Hodgkin Lymphoma-Based Intensity Preprocessing and Foundation Model-Based Automated Segmentation
Hodgkin Lymphoma-Based Intensity Preprocessing and Foundation Model-Based Automated Segmentation
Sifan Song , Christoph Clement , Robert Seifert , Cheng Chen , et al.
Journal of Nuclear Medicine (JNM)2025
MediViSTA: Medical Video Segmentation Via Temporal Fusion SAM Adaptation for Echocardiography
MediViSTA: Medical Video Segmentation Via Temporal Fusion SAM Adaptation for Echocardiography
Sekeun Kim , Pengfei Jin , Cheng Chen , Kyungsang Kim , Zhiliang Lyu , ... , Zhengliang Liu , Aoxiao Zhong , Tianming Liu , Xiang Li , Quanzheng Li
IEEE Journal of Biomedical and Health Informatics (JBHI)2025

2024

MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation
Cheng Chen , Juzheng Miao , Dufan Wu , Zhiling Yan , Sekeun Kim , ... , Lichao Sun , Xiang Li , Tianming Liu , Pheng-Ann Heng , Quanzheng Li
Medical Image Analysis (MedIA)2024
FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation
FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation
Zhe Xu , Cheng Chen , Donghuan Lu , Jinghan Sun , Dong Wei , Yefeng Zheng , Quanzheng Li , Raymond Tong
Medical Image Computing and Computer Assisted Intervention (MICCAI)2024
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks
Juzheng Miao , Cheng Chen , Keli Zhang , Jie Chuai , Quanzheng Li , Pheng-Ann Heng
Medical Image Computing and Computer Assisted Intervention (MICCAI)2024
Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage
Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage
Wenao Ma , Cheng Chen , Yuqi Gong , Nga Yan Chan , Meirui Jiang , Calvin Hoi-Kwan Mak , Jill M. Abrigo , Qi Dou
IEEE Transactions on Medical Imaging (IEEE TMI)2024
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation
Juzheng Miao , Cheng Chen , Keli Zhang , Jie Chuai , Quanzheng Li , Pheng-Ann Heng
Medical Image Computing and Computer Assisted Intervention (MICCAI)2024

2023

IOP-FL: Inside-outside Personalization of Federated Medical Image Segmentation
IOP-FL: Inside-outside Personalization of Federated Medical Image Segmentation
Meirui Jiang , Yongzheng Yang , Cheng Chen , Qi Dou
IEEE Transactions on Medical Imaging (IEEE TMI)2023
Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
Shizhan Gong , Cheng Chen , Yuqi Gong , Nga Yan Chan , Wenao Ma , Calvin Mak , Jill Abrigo , Qi Dou
International Conference on Information Processing in Medical Imaging (IPMI)2023
[Oral]
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data
Wenao Ma , Cheng Chen , Jill Abrigo , Calvin Hoi-Kwan Mak , Yuqi Gong , Nga Yan Chan , Chu Han , Zaiyi Liu , Qi Dou
Medical Image Computing and Computer Assisted Intervention (MICCAI)2023
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation
Juzheng Miao , Cheng Chen , Furui Liu , Hao Wei , Pheng-Ann Heng
International Conference on Computer Vision (ICCV)2023
SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation
SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation
Yuhan Zhang , Kun Huang , Cheng Chen , Qiang Chen , Pheng-Ann Heng
Medical Image Computing and Computer Assisted Intervention (MICCAI)2023
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization
Hongzheng Yang* , Cheng Chen* , Yueyao Chen , Markus Scheppach , Hon Chi Yip , Qi Dou
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS)2023
Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning
Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning
Cheng Chen , Aoxiao Zhong , Dufan Wu , Jie Luo , Quanzheng Li
Medical Image Computing and Computer Assisted Intervention (MICCAI)2023
[Oral]

2022

Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift
Wenao Ma , Cheng Chen , Shuang Zheng , Jing Qin , Huimao Zhang , Qi Dou
Medical Image Computing and Computer Assisted Intervention (MICCAI)2022
Federated Learning Enabling Big Data for Cancer Detection
Federated Learning Enabling Big Data for Cancer Detection
Sarthak Pati , Ujjwal Baid , Brandon Edwards , Micah Sheller , Shih-Han Wang , G Anthony Reina , et al.
Nature Communications2022
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary
Quande Liu , Cheng Chen , Qi Dou , Pheng-Ann Heng
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)2022
DLTTA: Dynamic Learning of Test-time Adaptation for Cross-domain Medical Images
DLTTA: Dynamic Learning of Test-time Adaptation for Cross-domain Medical Images
Hongzheng Yang , Cheng Chen , Meirui Jiang , Quande Liu , Jianfeng Cao , Pheng-Ann Heng , Qi Dou
IEEE Transactions on Medical Imaging (IEEE TMI)2022

2021

FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
Quande Liu , Cheng Chen , Jing Qin , Qi Dou , Pheng-Ann Heng
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)2021
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling
Cheng Chen , Quande Liu , Yueming Jin , Qi Dou , Pheng-Ann Heng
Medical Image Computing and Computer Assisted Intervention (MICCAI)2021
Learning with Privileged Multimodal Knowledge for Unimodal Segmentation
Learning with Privileged Multimodal Knowledge for Unimodal Segmentation
Cheng Chen , Qi Dou , Yueming Jin , Quande Liu , Pheng-Ann Heng
IEEE Transactions on Medical Imaging (IEEE TMI)2021

2020

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
Cheng Chen , Qi Dou , Hao Chen , Jing Qin , Pheng-Ann Heng
IEEE Transactions on Medical Imaging (TMI)2020

2019

Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation
Cheng Chen , Qi Dou , Hao Chen , Jing Qin , Pheng-Ann Heng
AAAI Conference on Artificial Intelligence (AAAI)2019
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion
Cheng Chen , Qi Dou , Yueming Jin , Hao Chen , Jing Qin , Pheng-Ann Heng
Medical Image Computing and Computer Assisted Intervention (MICCAI)2019

2018

Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation
Cheng Chen , Qi Dou , Hao Chen , Pheng-Ann Heng
International Workshop on Machine Learning in Medical Imaging (MLMI)2018
[Oral]