Cheng Chen - RankMe

76 papers A* 9Journal 47Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection. AAAI Pengfei Jin, Peng Shu, Sifan Song, Sekeun Kim, Qing Xiao, Cheng Chen, Tianming Liu, Xiang Li, Quanzheng Li
2026	J	`jnl`	Bi-CRCL: Bidirectional Conservative-Radical Complementary Learning with Pre-trained Foundation Models for Class-incremental Medical Image Analysis. CoRR Xinyao Wu, Zhe Xu, Cheng Chen, Jiawei Ma, Yefeng Zheng, Raymond Kai-Yu Tong
2026	J	`jnl`	GM-ABS: Promptable Generalist Model Drives Active Barely Supervised Training in Specialist Model for 3D Medical Image Segmentation. IEEE Trans. Medical Imaging Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Zheng, Quanzheng Li, Raymond Kai-Yu Tong
2026	J	`jnl`	SAM-driven cross prompting with adaptive sampling consistency for semi-supervised medical image segmentation. Medical Image Anal. Juzheng Miao, Cheng Chen, Yuchen Yuan, Quanzheng Li, Pheng-Ann Heng
2026	A*	`conf`	Tackling Dual-stage Missing Modalities in Brain Tumor Segmentation via Robust Modality Reconstruction and Prompt-guided Modality Adaptation. AAAI Yunpeng Zhao, Cheng Chen, Qing You Pang, Yibing Fu, Quanzheng Li, Carol Tang, Beng-Ti Ang, Yueming Jin
2026	A*	`conf`	Unleashing the Power of Image-Tabular Self-Supervised Learning via Breaking Cross-Tabular Barriers. AAAI Yibing Fu, Yunpeng Zhao, Zhitao Zeng, Cheng Chen, Yueming Jin
2025	J	`jnl`	A Clinician-Friendly Platform for Ophthalmic Image Analysis Without Technical Barriers. CoRR Meng Wang, Tian Lin, Qingshan Hou, Aidi Lin, Jingcheng Wang, Qingsheng Peng, Truong X. Nguyen, Danqi Fang, Ke Zou, Ting Xu, Cancan Xue, Ten Cheer Quek, Qinkai Yu, Minxin Liu, Hui Zhou, Zixuan Xiao, Guiqin He, Huiyu Liang, Tingkun Shi, Man Chen, Linna Liu, Yuanyuan Peng, Lianyu Wang, Qiuming Hu, Junhong Chen, Zhenhua Zhang, Cheng Chen, Yitian Zhao, Dianbo Liu, Jianhua Wu, Xinjian Chen, Changqing Zhang, Triet Thanh Nguyen, Yanda Meng, Yalin Zheng, Yih Chung Tham, Carol Y. Cheung, Huazhu Fu, Haoyu Chen, Ching-Yu Cheng
2025	J	`jnl`	EchoFM: Foundation Model for Generalizable Echocardiogram Analysis. IEEE Trans. Medical Imaging Sekeun Kim, Pengfei Jin, Sifan Song, Cheng Chen, Yiwei Li, Hui Ren, Xiang Li, Tianming Liu, Quanzheng Li
2025	J	`jnl`	MediViSTA: Medical Video Segmentation Via Temporal Fusion SAM Adaptation for Echocardiography. IEEE J. Biomed. Health Informatics Sekeun Kim, Pengfei Jin, Cheng Chen, Kyungsang Kim, Zhiliang Lyu, Hui Ren, Sunghwan Kim, Zhengliang Liu, Aoxiao Zhong, Tianming Liu, Xiang Li, Quanzheng Li
2025	J	`jnl`	Multi-Organ Segmentation From Partially Labeled and Unaligned Multi-Modal MRI in Thyroid-Associated Orbitopathy. IEEE J. Biomed. Health Informatics 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
2025	—	`conf`	Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport. MICCAI (15) Qinkai Yu, Jianyang Xie, Yitian Zhao, Cheng Chen, Lijun Zhang, Liming Chen, Jun Cheng, Lu Liu, Yalin Zheng, Yanda Meng
2025	J	`jnl`	Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport. CoRR Qinkai Yu, Jianyang Xie, Yitian Zhao, Cheng Chen, Lijun Zhang, Liming Chen, Jun Cheng, Lu Liu, Yalin Zheng, Yanda Meng
2025	J	`jnl`	Unleashing the Power of Image-Tabular Self-Supervised Learning via Breaking Cross-Tabular Barriers. CoRR Yibing Fu, Yunpeng Zhao, Zhitao Zeng, Cheng Chen, Yueming Jin
2024	J	`jnl`	Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage. IEEE Trans. Medical Imaging Wenao Ma, Cheng Chen, Yuqi Gong, Nga Yan Chan, Meirui Jiang, Calvin Hoi-Kwan Mak, Jill M. Abrigo, Qi Dou
2024	J	`jnl`	Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases. CoRR Meng Wang, Tian Lin, Aidi Lin, Kai Yu, Yuanyuan Peng, Lianyu Wang, Cheng Chen, Ke Zou, Huiyu Liang, Man Chen, Xue Yao, Meiqin Zhang, Binwei Huang, Chaoxin Zheng, Peixin Zhang, Wei Chen, Yilong Luo, Yifan Chen, Honghe Xia, Tingkun Shi, Qi Zhang, Jinming Guo, Xiaolin Chen, Jingcheng Wang, Yih Chung Tham, Dianbo Liu, Wendy Wong, Sahil Thakur, Beau Fenner, Danqi Fang, Siying Liu, Qingyun Liu, Yuqiang Huang, Hongqiang Zeng, Yanda Meng, Yukun Zhou, Zehua Jiang, Minghui Qiu, Changqing Zhang, Xinjian Chen, Sophia Y. Wang, Cecilia S. Lee, Lucia Sobrin, Carol Y. Cheung, Chi Pui Pang, Pearse A. Keane, Ching-Yu Cheng, Haoyu Chen, Huazhu Fu
2024	—	`conf`	Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation. MICCAI (11) Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng
2024	J	`jnl`	Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation. CoRR Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng
2024	J	`jnl`	Dealing with All-stage Missing Modality: Towards A Universal Model with Robust Reconstruction and Personalization. CoRR Yunpeng Zhao, Cheng Chen, Qing You Pang, Quanzheng Li, Carol Tang, Beng-Ti Ang, Yueming Jin
2024	J	`jnl`	EchoFM: Foundation Model for Generalizable Echocardiogram Analysis. CoRR Sekeun Kim, Pengfei Jin, Sifan Song, Cheng Chen, Yiwei Li, Hui Ren, Xiang Li, Tianming Liu, Quanzheng Li
2024	—	`conf`	FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation. MICCAI (8) Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Zheng, Quanzheng Li, Raymond Kai-Yu Tong
2024	—	`conf`	FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks. MICCAI (11) Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng
2024	J	`jnl`	FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks. CoRR Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng
2024	J	`jnl`	Federated Semi-Supervised Medical Image Segmentation via Prototype-Based Pseudo-Labeling and Contrastive Learning. IEEE Trans. Medical Imaging Huisi Wu, Baiming Zhang, Cheng Chen, Jing Qin
2024	J	`jnl`	MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation. Medical Image Anal. Cheng Chen, Juzheng Miao, Dufan Wu, Aoxiao Zhong, Zhiling Yan, Sekeun Kim, Jiang Hu, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li
2024	J	`jnl`	Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning. CoRR Pengfei Jin, Peng Shu, Sekeun Kim, Qing Xiao, Sifan Song, Cheng Chen, Tianming Liu, Xiang Li, Quanzheng Li
2023	A*	`conf`	CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation. ICCV Juzheng Miao, Cheng Chen, Furui Liu, Hao Wei, Pheng-Ann Heng
2023	J	`jnl`	Continual Nuclei Segmentation via Prototype-Wise Relation Distillation and Contrastive Learning. IEEE Trans. Medical Imaging Huisi Wu, Zhaoze Wang, Zebin Zhao, Cheng Chen, Jing Qin
2023	—	`conf`	Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning. MICCAI (5) Cheng Chen, Aoxiao Zhong, Dufan Wu, Jie Luo, Quanzheng Li
2023	—	`conf`	Diffusion Model Based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification. IPMI Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill M. Abrigo, Qi Dou
2023	J	`jnl`	Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification. CoRR Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill M. Abrigo, Qi Dou
2023	J	`jnl`	IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. IEEE Trans. Medical Imaging Meirui Jiang, Hongzheng Yang, Cheng Chen, Qi Dou
2023	J	`jnl`	MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation. CoRR Cheng Chen, Juzheng Miao, Dufan Wu, Zhiling Yan, Sekeun Kim, Jiang Hu, Aoxiao Zhong, Zhengliang Liu, Lichao Sun, Xiang Li, Tianming Liu, Pheng-Ann Heng, Quanzheng Li
2023	J	`jnl`	Radiology-GPT: A Large Language Model for Radiology. CoRR Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Xiang Li, Quanzheng Li, Tianming Liu
2023	J	`jnl`	Radiology-Llama2: Best-in-Class Large Language Model for Radiology. CoRR Zhengliang Liu, Yiwei Li, Peng Shu, Aoxiao Zhong, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Jie Luo, Cheng Chen, Sekeun Kim, Jiang Hu, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Tianming Liu, Quanzheng Li, Xiang Li
2023	—	`conf`	SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation. MICCAI (2) Yuhan Zhang, Kun Huang, Cheng Chen, Qiang Chen, Pheng-Ann Heng
2023	—	`conf`	Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain. MLMI@MICCAI (1) Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, Haixing Dai, Lin Zhao, Dajiang Zhu, Jun Liu, Wei Liu, Dinggang Shen, Quanzheng Li, Tianming Liu, Xiang Li
2023	—	`conf`	Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data. MICCAI (5) Wenao Ma, Cheng Chen, Jill M. Abrigo, Calvin Hoi-Kwan Mak, Yuqi Gong, Nga Yan Chan, Chu Han, Zaiyi Liu, Qi Dou
2023	J	`jnl`	Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data. CoRR Wenao Ma, Cheng Chen, Jill M. Abrigo, Calvin Hoi-Kwan Mak, Yuqi Gong, Nga Yan Chan, Chu Han, Zaiyi Liu, Qi Dou
2023	A*	`conf`	Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization. NeurIPS Hongzheng Yang, Cheng Chen, Yueyao Chen, Markus Scheppach, Hon-Chi Yip, Qi Dou
2023	J	`jnl`	Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization. CoRR Hongzheng Yang, Cheng Chen, Yueyao Chen, Markus Scheppach, Hon-Chi Yip, Qi Dou
2022	J	`jnl`	DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images. IEEE Trans. Medical Imaging Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou
2022	J	`jnl`	DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images. CoRR Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou
2022	J	`jnl`	Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation. CoRR Yueming Jin, Yang Yu, Cheng Chen, Zixu Zhao, Pheng-Ann Heng, Danail Stoyanov
2022	J	`jnl`	Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation. IEEE Trans. Medical Imaging Yueming Jin, Yang Yu, Cheng Chen, Zixu Zhao, Pheng-Ann Heng, Danail Stoyanov
2022	J	`jnl`	IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. CoRR Meirui Jiang, Hongzheng Yang, Cheng Chen, Qi Dou
2022	J	`jnl`	Learning With Privileged Multimodal Knowledge for Unimodal Segmentation. IEEE Trans. Medical Imaging Cheng Chen, Qi Dou, Yueming Jin, Quande Liu, Pheng-Ann Heng
2022	—	`conf`	Online Reflective Learning for Robust Medical Image Segmentation. MICCAI (8) Yuhao Huang, Xin Yang, Xiaoqiong Huang, Jiamin Liang, Xinrui Zhou, Cheng Chen, Haoran Dou, Xindi Hu, Yan Cao, Dong Ni
2022	J	`jnl`	Online Reflective Learning for Robust Medical Image Segmentation. CoRR Yuhao Huang, Xin Yang, Xiaoqiong Huang, Jiamin Liang, Xinrui Zhou, Cheng Chen, Haoran Dou, Xindi Hu, Yan Cao, Dong Ni
2022	A*	`conf`	Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary. AAAI Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng
2022	J	`jnl`	Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary. CoRR Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng
2022	—	`conf`	Test-Time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift. MICCAI (3) Wenao Ma, Cheng Chen, Shuang Zheng, Jing Qin, Huimao Zhang, Qi Dou
2022	J	`jnl`	Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift. CoRR Wenao Ma, Cheng Chen, Shuang Zheng, Jing Qin, Huimao Zhang, Qi Dou
2021	—	`conf`	Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning. BrainLes@MICCAI (2) Youtan Yin, Hongzheng Yang, Quande Liu, Meirui Jiang, Cheng Chen, Qi Dou, Pheng-Ann Heng
2021	A*	`conf`	FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. CVPR Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng
2021	J	`jnl`	FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. CoRR Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng
2021	—	`conf`	Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. MICCAI (5) Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng
2021	J	`jnl`	Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. CoRR Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng
2021	J	`jnl`	Temporal Memory Relation Network for Workflow Recognition From Surgical Video. IEEE Trans. Medical Imaging Yueming Jin, Yonghao Long, Cheng Chen, Zixu Zhao, Qi Dou, Pheng-Ann Heng
2021	J	`jnl`	Temporal Memory Relation Network for Workflow Recognition from Surgical Video. CoRR Yueming Jin, Yonghao Long, Cheng Chen, Zixu Zhao, Qi Dou, Pheng-Ann Heng
2020	J	`jnl`	Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion. CoRR Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, Pheng-Ann Heng
2020	J	`jnl`	Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation. CoRR Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng
2020	J	`jnl`	Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation. IEEE Trans. Medical Imaging Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng
2019	J	`jnl`	PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation. IEEE Access Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng
2019	—	`conf`	Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion. MICCAI (3) Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, Pheng-Ann Heng
2019	A*	`conf`	Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. AAAI Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng
2019	J	`jnl`	Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. CoRR Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng
2019	—	`ch.`	Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Qi Dou, Cheng Chen, Cheng Ouyang, Hao Chen, Pheng-Ann Heng
2018	J	`jnl`	PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation. CoRR Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng
2018	—	`conf`	Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation. MLMI@MICCAI Cheng Chen, Qi Dou, Hao Chen, Pheng-Ann Heng
2018	J	`jnl`	Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation. CoRR Cheng Chen, Qi Dou, Hao Chen, Pheng-Ann Heng
2018	A*	`conf`	Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. IJCAI Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng
2018	J	`jnl`	Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. CoRR Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng
2013	—	`conf`	A CMOS neurostimulator with on-chip DAC calibration and charge balancing. BioCAS Elliot Greenwald, Cheng Chen, Nitish V. Thakor, Christoph Maier, Gert Cauwenberghs
2013	—	`conf`	Band specific changes in thalamocortical synchrony in field potentials after Cardiac Arrest induced global hypoxia. EMBC Anil Maybhate, Cheng Chen, Yama Akbari, David L. Sherman, Kaiquan Shen, Xiaofeng Jia, Nitish V. Thakor
2013	—	`conf`	Effect of hypothermia on cortical and thalamic signals in anesthetized rats. EMBC Cheng Chen, Anil Maybhate, Nitish V. Thakor, Xiaofeng Jia
2012	—	`conf`	Effect of hypothermia on the thalamocortical function in the rat model. EMBC Anil Maybhate, Cheng Chen, Nitish V. Thakor, Xiaofeng Jia