Cheng Chen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 39

Top Topics

Medical Image Segmentation

Tumor Segmentation

Top Venues

IEEE Trans. Medical Imaging

Publications

Huisi Wu, Baiming Zhang, Cheng Chen, Jing Qin
Federated Semi-Supervised Medical Image Segmentation via Prototype-Based Pseudo-Labeling and Contrastive Learning. IEEE Trans. Medical Imaging 43 (2) (2024)
Wenao Ma, Cheng Chen, Yuqi Gong, Nga Yan Chan, Meirui Jiang, Calvin Hoi-Kwan Mak, Jill M. Abrigo, Qi Dou
Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage. IEEE Trans. Medical Imaging 43 (8) (2024)
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 (2024)
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 (2024)
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 (2024)
Shizhan Gong, Cheng Chen, Yuqi Gong, Nga Yan Chan, Wenao Ma, Calvin Hoi-Kwan Mak, Jill Abrigo, Qi Dou
Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification. CoRR (2023)
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 (2023)
Meirui Jiang, Hongzheng Yang, Cheng Chen, Qi Dou
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation. IEEE Trans. Medical Imaging 42 (7) (2023)
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)
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. IPMI (2023)
Huisi Wu, Zhaoze Wang, Zebin Zhao, Cheng Chen, Jing Qin
Continual Nuclei Segmentation via Prototype-Wise Relation Distillation and Contrastive Learning. IEEE Trans. Medical Imaging 42 (12) (2023)
Quande Liu, Cheng Chen, Qi Dou, Pheng-Ann Heng
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary. CoRR (2022)
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)
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 (2022)
Yueming Jin, Yang Yu, Cheng Chen, Zixu Zhao, Pheng-Ann Heng, Danail Stoyanov
Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation. IEEE Trans. Medical Imaging 41 (11) (2022)
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)
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. IEEE Trans. Medical Imaging 41 (12) (2022)
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 (2022)
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 (2022)
Cheng Chen, Qi Dou, Yueming Jin, Quande Liu, Pheng-Ann Heng
Learning With Privileged Multimodal Knowledge for Unimodal Segmentation. IEEE Trans. Medical Imaging 41 (3) (2022)
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)
Cheng Chen, Quande Liu, Yueming Jin, Qi Dou, Pheng-Ann Heng
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling. CoRR (2021)
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 (2021)
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)
Yueming Jin, Yonghao Long, Cheng Chen, Zixu Zhao, Qi Dou, Pheng-Ann Heng
Temporal Memory Relation Network for Workflow Recognition from Surgical Video. CoRR (2021)
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. CVPR (2021)
Yueming Jin, Yonghao Long, Cheng Chen, Zixu Zhao, Qi Dou, Pheng-Ann Heng
Temporal Memory Relation Network for Workflow Recognition From Surgical Video. IEEE Trans. Medical Imaging 40 (7) (2021)
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. IEEE Trans. Medical Imaging 39 (7) (2020)
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 (2020)
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 (2020)
Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Ben Glocker, Xiahai Zhuang, Pheng-Ann Heng
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation. IEEE Access 7 (2019)
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. AAAI (2019)
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 (2019)
Cheng Chen, Qi Dou, Yueming Jin, Hao Chen, Jing Qin, Pheng-Ann Heng
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion. MICCAI (3) (2019)
Cheng Chen, Qi Dou, Hao Chen, Pheng-Ann Heng
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation. MLMI@MICCAI (2018)
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 (2018)
Cheng Chen, Qi Dou, Hao Chen, Pheng-Ann Heng
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation. CoRR (2018)
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. IJCAI (2018)
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 (2018)