Effect of hypothermia on the thalamocortical function in the rat model. - Anil Maybhate; Cheng Chen 013; Nitish V. Thakor; Xiaofeng Jia (EMBC, 2012)

A CMOS neurostimulator with on-chip DAC calibration and charge balancing. - Elliot Greenwald; Cheng Chen 013; Nitish V. Thakor; Christoph Maier; Gert Cauwenberghs (BioCAS, 2013)

Effect of hypothermia on cortical and thalamic signals in anesthetized rats. - Cheng Chen 013; Anil Maybhate; Nitish V. Thakor; Xiaofeng Jia (EMBC, 2013)

Band specific changes in thalamocortical synchrony in field potentials after Cardiac Arrest induced global hypoxia. - Anil Maybhate; Cheng Chen 013; Yama Akbari; David L. Sherman; Kaiquan Shen; Xiaofeng Jia; Nitish V. Thakor (EMBC, 2013)

Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. - Qi Dou 001; Cheng Ouyang; Cheng Chen 013; Hao Chen 011; Pheng-Ann Heng (IJCAI, 2018)

Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation. - Cheng Chen 013; Qi Dou 001; Hao Chen 011; Pheng-Ann Heng (MLMI@MICCAI, 2018)

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation. - Qi Dou 001; Cheng Ouyang; Cheng Chen 013; Hao Chen 011; Ben Glocker; Xiahai Zhuang; Pheng-Ann Heng (CoRR, 2018)

Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning. - Qi Dou 001; Cheng Chen 013; Cheng Ouyang; Hao Chen 011; Pheng-Ann Heng (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. - Cheng Chen 013; Qi Dou 001; Hao Chen 011; Jing Qin 001; Pheng-Ann Heng (AAAI, 2019)

Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion. - Cheng Chen 013; Qi Dou 001; Yueming Jin; Hao Chen 011; Jing Qin 001; Pheng-Ann Heng (MICCAI (3), 2019)

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation. - Qi Dou 001; Cheng Ouyang; Cheng Chen 013; Hao Chen 011; Ben Glocker; Xiahai Zhuang; Pheng-Ann Heng (IEEE Access, 2019)

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation. - Cheng Chen 013; Qi Dou 001; Hao Chen 011; Jing Qin 001; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2020)

Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning. - Youtan Yin; Hongzheng Yang; Quande Liu; Meirui Jiang; Cheng Chen 013; Qi Dou 001; Pheng-Ann Heng (BrainLes@MICCAI (2), 2021)

FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. - Quande Liu; Cheng Chen 013; Jing Qin 001; Qi Dou 001; Pheng-Ann Heng (CVPR, 2021)

Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. - Cheng Chen 013; Quande Liu; Yueming Jin; Qi Dou 001; Pheng-Ann Heng (MICCAI (5), 2021)

Temporal Memory Relation Network for Workflow Recognition From Surgical Video. - Yueming Jin; Yonghao Long 001; Cheng Chen 013; Zixu Zhao; Qi Dou 001; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2021)

Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary. - Quande Liu; Cheng Chen 013; Qi Dou 001; Pheng-Ann Heng (AAAI, 2022)

Online Reflective Learning for Robust Medical Image Segmentation. - Yuhao Huang 001; Xin Yang 009; Xiaoqiong Huang; Jiamin Liang; Xinrui Zhou; Cheng Chen 013; Haoran Dou; Xindi Hu; Yan Cao 002; Dong Ni 001 (MICCAI (8), 2022)

Test-Time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift. - Wenao Ma; Cheng Chen 013; Shuang Zheng; Jing Qin 001; Huimao Zhang; Qi Dou 001 (MICCAI (3), 2022)

Learning With Privileged Multimodal Knowledge for Unimodal Segmentation. - Cheng Chen 013; Qi Dou 001; Yueming Jin; Quande Liu; Pheng-Ann Heng (IEEE Trans. Medical Imaging, 2022)

Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation. - Yueming Jin; Yang Yu 070; Cheng Chen 013; Zixu Zhao; Pheng-Ann Heng; Danail Stoyanov (IEEE Trans. Medical Imaging, 2022)

DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images. - Hongzheng Yang; Cheng Chen 013; Meirui Jiang; Quande Liu; Jianfeng Cao; Pheng-Ann Heng; Qi Dou 001 (IEEE Trans. Medical Imaging, 2022)

CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation. - Juzheng Miao; Cheng Chen 013; Furui Liu; Hao Wei; Pheng-Ann Heng (ICCV, 2023)

Diffusion Model Based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification. - Shizhan Gong; Cheng Chen 013; Yuqi Gong; Nga Yan Chan; Wenao Ma; Calvin Hoi-Kwan Mak; Jill M. Abrigo; Qi Dou 001 (IPMI, 2023)

Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning. - Cheng Chen 013; Aoxiao Zhong; Dufan Wu; Jie Luo 003; Quanzheng Li (MICCAI (5), 2023)

Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data. - Wenao Ma; Cheng Chen 013; Jill M. Abrigo; Calvin Hoi-Kwan Mak; Yuqi Gong; Nga Yan Chan; Chu Han; Zaiyi Liu; Qi Dou 001 (MICCAI (5), 2023)

SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation. - Yuhan Zhang 001; Kun Huang; Cheng Chen 013; Qiang Chen 004; Pheng-Ann Heng (MICCAI (2), 2023)

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain. - Zhengliang Liu; Aoxiao Zhong; Yiwei Li 002; Longtao Yang; Chao Ju; Zihao Wu 001; Chong Ma; Peng Shu; Cheng Chen 013; Sekeun Kim; Haixing Dai; Lin Zhao 004; et al. (MLMI@MICCAI (1), 2023)

Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization. - Hongzheng Yang; Cheng Chen 013; Yueyao Chen; Markus Scheppach; Hon-Chi Yip; Qi Dou 001 (NeurIPS, 2023)

Radiology-GPT: A Large Language Model for Radiology. - Zhengliang Liu; Aoxiao Zhong; Yiwei Li 002; Longtao Yang; Chao Ju; Zihao Wu 001; Chong Ma; Peng Shu; Cheng Chen 013; Sekeun Kim; Haixing Dai; Lin Zhao 004; et al. (CoRR, 2023)

Radiology-Llama2: Best-in-Class Large Language Model for Radiology. - Zhengliang Liu; Yiwei Li 002; Peng Shu; Aoxiao Zhong; Longtao Yang; Chao Ju; Zihao Wu 001; Chong Ma; Jie Luo 003; Cheng Chen 013; Sekeun Kim; Jiang Hu; et al. (CoRR, 2023)

IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. - Meirui Jiang; Hongzheng Yang; Cheng Chen 013; Qi Dou 001 (IEEE Trans. Medical Imaging, 2023)

Continual Nuclei Segmentation via Prototype-Wise Relation Distillation and Contrastive Learning. - Huisi Wu; Zhaoze Wang; Zebin Zhao 004; Cheng Chen 013; Jing Qin 001 (IEEE Trans. Medical Imaging, 2023)

Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation. - Juzheng Miao; Cheng Chen 013; Keli Zhang; Jie Chuai; Quanzheng Li; Pheng-Ann Heng (MICCAI (11), 2024)

FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks. - Juzheng Miao; Cheng Chen 013; Keli Zhang; Jie Chuai; Quanzheng Li; Pheng-Ann Heng (MICCAI (11), 2024)

FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation. - Zhe Xu 012; Cheng Chen 013; Donghuan Lu; Jinghan Sun; Dong Wei 004; Yefeng Zheng 001; Quanzheng Li; Raymond Kai-Yu Tong (MICCAI (8), 2024)

Dealing with All-stage Missing Modality: Towards A Universal Model with Robust Reconstruction and Personalization. - Yunpeng Zhao; Cheng Chen 013; Qing You Pang; Quanzheng Li; Carol Tang; Beng-Ti Ang; Yueming Jin (CoRR, 2024)

Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases. - Meng Wang 038; Tian Lin; Aidi Lin; Kai Yu 009; Yuanyuan Peng; Lianyu Wang; Cheng Chen 013; Ke Zou; Huiyu Liang; Man Chen; Xue Yao; Meiqin Zhang; et al. (CoRR, 2024)

Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning. - Pengfei Jin; Peng Shu; Sekeun Kim; Qing Xiao 003; Sifan Song; Cheng Chen 013; Tianming Liu 001; Xiang Li 001; Quanzheng Li (CoRR, 2024)

EchoFM: Foundation Model for Generalizable Echocardiogram Analysis. - Sekeun Kim; Pengfei Jin; Sifan Song; Cheng Chen 013; Yiwei Li 002; Hui Ren 001; Xiang Li 001; Tianming Liu 001; Quanzheng Li (CoRR, 2024)

MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation. - Cheng Chen 013; Juzheng Miao; Dufan Wu; Aoxiao Zhong; Zhiling Yan; Sekeun Kim; Jiang Hu; Zhengliang Liu; Lichao Sun 001; Xiang Li 001; Tianming Liu 001; Pheng-Ann Heng; et al. (Medical Image Anal., 2024)

Federated Semi-Supervised Medical Image Segmentation via Prototype-Based Pseudo-Labeling and Contrastive Learning. - Huisi Wu; Baiming Zhang; Cheng Chen 013; Jing Qin 001 (IEEE Trans. Medical Imaging, 2024)

Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage. - Wenao Ma; Cheng Chen 013; Yuqi Gong; Nga Yan Chan; Meirui Jiang; Calvin Hoi-Kwan Mak; Jill M. Abrigo; Qi Dou 001 (IEEE Trans. Medical Imaging, 2024)

A Clinician-Friendly Platform for Ophthalmic Image Analysis Without Technical Barriers. - Meng Wang 038; Tian Lin; Qingshan Hou; Aidi Lin; Jingcheng Wang; Qingsheng Peng; Truong X. Nguyen; Danqi Fang; Ke Zou; Ting Xu; Cancan Xue; Ten Cheer Quek; et al. (CoRR, 2025)

Multi-Organ Segmentation From Partially Labeled and Unaligned Multi-Modal MRI in Thyroid-Associated Orbitopathy. - Cheng Chen 013; Min Deng; Yuan Zhong 003; Jinyue Cai; Karen Kar Wun Chan; Qi Dou 001; Kelvin Kam Lung Chong; Pheng-Ann Heng; Winnie Chiu Wing Chu (IEEE J. Biomed. Health Informatics, 2025)

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport. - Qinkai Yu; Jianyang Xie; Yitian Zhao; Cheng Chen 013; Lijun Zhang; Liming Chen; Jun Cheng 003; Lu Liu; Yalin Zheng; Yanda Meng (CoRR, 2025)