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Cheng Chen 0013
Person information
- affiliation: Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
Other persons with the same name
- Cheng Chen — disambiguation page
- Cheng Chen 0001 — Black Oak Analytics Inc., Little Rock, AR, USA (and 1 more)
- Cheng Chen 0002
— Beijing University of Posts and Telecommunications, Key Laboratory of Intelligent Telecommunications Software and Multimedia, China
- Cheng Chen 0003 — Carnegie Mellon University, Department of Biomedical Engineering, Pittsburgh, PA, USA
- Cheng Chen 0004 — Chinese Academy of Sciences, National Engineering Laboratory for Video Technology, China
- Cheng Chen 0005
- Cheng Chen 0006
- Cheng Chen 0007
- Cheng Chen 0008
- Cheng Chen 0009
- Cheng Chen 0010
- Cheng Chen 0011
- Cheng Chen 0012 — Oklahoma State University, School of Civil and Environmental Engineering, Stillwater, OK, USA
- Cheng Chen 0014
- Cheng Chen 0015
- Cheng Chen 0016 — University of Iowa, Iowa City, IA, USA
- Cheng Chen 0017
- Cheng Chen 0018
- Cheng Chen 0019 — University of Victoria, Victoria, BC, Canada
- Cheng Chen 0020 — Intel Corp. Hillsboro, Hillsboro, OR, USA
- Cheng Chen 0021
- Cheng Chen 0022 — University of Bern, Institute of Surgical Technology and Biomechanics, Switzerland
- Cheng Chen 0023
- Cheng Chen 0024
- Cheng Chen 0025
- Cheng Chen 0026 — Chinese University of Hong Kong, Department of Biomedical Engineering, Hong Kong
- Cheng Chen 0027 — Wuxi Huiwang Smart Technology Co., Ltd., China
- Cheng Chen 0028 — East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China
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2020 – today
- 2024
- [j11]Cheng Chen
MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation. Medical Image Anal. 98: 103310 (2024) - [j10]Huisi Wu
Federated Semi-Supervised Medical Image Segmentation via Prototype-Based Pseudo-Labeling and Contrastive Learning. IEEE Trans. Medical Imaging 43(2): 649-661 (2024) - [j9]Wenao Ma
Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage. IEEE Trans. Medical Imaging 43(8): 2778-2789 (2024) - [c18]Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng:
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation. MICCAI (11) 2024: 167-177 - [c17]Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng:
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks. MICCAI (11) 2024: 297-307 - [i25]Yunpeng Zhao, Cheng Chen, Qing You Pang, Quanzheng Li, Carol Tang, Beng-Ti Ang, Yueming Jin:
Dealing with All-stage Missing Modality: Towards A Universal Model with Robust Reconstruction and Personalization. CoRR abs/2406.01987 (2024) - [i24]Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng:
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks. CoRR abs/2407.05412 (2024) - [i23]Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng:
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation. CoRR abs/2407.05416 (2024) - [i22]Pengfei Jin, Peng Shu, Sekeun Kim, Qing Xiao, Sifan Song, Cheng Chen, Tianming Liu, Xiang Li, Quanzheng Li:
Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning. CoRR abs/2410.09908 (2024) - [i21]Sekeun Kim, Pengfei Jin, Sifan Song, Cheng Chen, Yiwei Li, Hui Ren, Xiang Li, Tianming Liu, Quanzheng Li:
EchoFM: Foundation Model for Generalizable Echocardiogram Analysis. CoRR abs/2410.23413 (2024) - 2023
- [j8]Meirui Jiang
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. IEEE Trans. Medical Imaging 42(7): 2106-2117 (2023) - [j7]Huisi Wu
Continual Nuclei Segmentation via Prototype-Wise Relation Distillation and Contrastive Learning. IEEE Trans. Medical Imaging 42(12): 3794-3804 (2023) - [c16]Juzheng Miao, Cheng Chen, Furui Liu, Hao Wei, Pheng-Ann Heng:
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation. ICCV 2023: 21369-21380 - [c15]Shizhan Gong
Diffusion Model Based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification. IPMI 2023: 69-81 - [c14]Yuhan Zhang, Kun Huang, Cheng Chen, Qiang Chen, Pheng-Ann Heng:
SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation. MICCAI (2) 2023: 148-158 - [c13]Cheng Chen, Aoxiao Zhong, Dufan Wu, Jie Luo, Quanzheng Li:
Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning. MICCAI (5) 2023: 493-503 - [c12]Wenao Ma, Cheng Chen, Jill M. Abrigo, Calvin Hoi-Kwan Mak, Yuqi Gong, Nga Yan Chan, Chu Han, Zaiyi Liu, Qi Dou:
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data. MICCAI (5) 2023: 715-725 - [c11]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
Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain. MLMI@MICCAI (1) 2023: 464-473 - [c10]Hongzheng Yang, Cheng Chen, Yueyao Chen, Markus Scheppach, Hon-Chi Yip, Qi Dou:
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization. NeurIPS 2023 - [i20]Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill M. Abrigo, Qi Dou:
Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification. CoRR abs/2301.00409 (2023) - [i19]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:
Radiology-GPT: A Large Language Model for Radiology. CoRR abs/2306.08666 (2023) - [i18]Wenao Ma, Cheng Chen, Jill M. Abrigo, Calvin Hoi-Kwan Mak, Yuqi Gong, Nga Yan Chan, Chu Han, Zaiyi Liu, Qi Dou:
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data. CoRR abs/2307.12858 (2023) - [i17]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:
Radiology-Llama2: Best-in-Class Large Language Model for Radiology. CoRR abs/2309.06419 (2023) - [i16]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:
MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation. CoRR abs/2309.08842 (2023) - [i15]Hongzheng Yang, Cheng Chen, Yueyao Chen, Markus Scheppach, Hon-Chi Yip, Qi Dou:
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization. CoRR abs/2311.02719 (2023) - 2022
- [j6]Cheng Chen
Learning With Privileged Multimodal Knowledge for Unimodal Segmentation. IEEE Trans. Medical Imaging 41(3): 621-632 (2022) - [j5]Yueming Jin
Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation. IEEE Trans. Medical Imaging 41(11): 2991-3002 (2022) - [j4]Hongzheng Yang, Cheng Chen
DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images. IEEE Trans. Medical Imaging 41(12): 3575-3586 (2022) - [c9]Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary. AAAI 2022: 1756-1764 - [c8]Wenao Ma, Cheng Chen, Shuang Zheng, Jing Qin, Huimao Zhang, Qi Dou:
Test-Time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift. MICCAI (3) 2022: 313-323 - [i14]Yueming Jin, Yang Yu, Cheng Chen, Zixu Zhao, Pheng-Ann Heng, Danail Stoyanov:
Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation. CoRR abs/2203.15251 (2022) - [i13]Meirui Jiang, Hongzheng Yang, Cheng Chen, Qi Dou:
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. CoRR abs/2204.08467 (2022) - [i12]Hongzheng Yang, Cheng Chen, Meirui Jiang, Quande Liu, Jianfeng Cao, Pheng-Ann Heng, Qi Dou:
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images. CoRR abs/2205.13723 (2022) - [i11]Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary. CoRR abs/2206.14467 (2022) - [i10]Wenao Ma, Cheng Chen, Shuang Zheng, Jing Qin, Huimao Zhang, Qi Dou:
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift. CoRR abs/2207.00769 (2022) - 2021
- [j3]Yueming Jin
Temporal Memory Relation Network for Workflow Recognition From Surgical Video. IEEE Trans. Medical Imaging 40(7): 1911-1923 (2021) - [c7]Youtan Yin, Hongzheng Yang, Quande Liu, Meirui Jiang, Cheng Chen, Qi Dou, Pheng-Ann Heng:
Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning. BrainLes@MICCAI (2) 2021: 433-443 - [c6]Quande Liu, Cheng Chen, Jing Qin
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. CVPR 2021: 1013-1023 - [c5]Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. MICCAI (5) 2021: 225-235 - [i9]Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng:
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. CoRR abs/2103.06030 (2021) - [i8]Yueming Jin, Yonghao Long, Cheng Chen, Zixu Zhao, Qi Dou, Pheng-Ann Heng:
Temporal Memory Relation Network for Workflow Recognition from Surgical Video. CoRR abs/2103.16327 (2021) - [i7]Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng:
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. CoRR abs/2109.09735 (2021) - 2020
- [j2]Cheng Chen
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation. IEEE Trans. Medical Imaging 39(7): 2494-2505 (2020) - [i6]Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation. CoRR abs/2002.02255 (2020) - [i5]Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, Pheng-Ann Heng:
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion. CoRR abs/2002.09708 (2020)
2010 – 2019
- 2019
- [j1]Qi Dou
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation. IEEE Access 7: 99065-99076 (2019) - [c4]Cheng Chen, Qi Dou, Hao Chen
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. AAAI 2019: 865-872 - [c3]Cheng Chen, Qi Dou
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion. MICCAI (3) 2019: 447-456 - [p1]Qi Dou
Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 93-115 - [i4]Cheng Chen, Qi Dou, Hao Chen, Jing Qin, Pheng-Ann Heng:
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation. CoRR abs/1901.08211 (2019) - 2018
- [c2]Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. IJCAI 2018: 691-697 - [c1]Cheng Chen, Qi Dou
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation. MLMI@MICCAI 2018: 143-151 - [i3]Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng:
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss. CoRR abs/1804.10916 (2018) - [i2]Cheng Chen, Qi Dou, Hao Chen, Pheng-Ann Heng:
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation. CoRR abs/1806.00600 (2018) - [i1]Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng:
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation. CoRR abs/1812.07907 (2018)
Coauthor Index
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last updated on 2024-12-13 19:07 CET by the dblp team
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