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Cheng Chen
Cheng Chen
Computer Science and Engineering, The Chinese University of Hong Kong
Verified email at cse.cuhk.edu.hk - Homepage
Title
Cited by
Cited by
Year
Unsupervised cross-modality domain adaptation of convnets for biomedical image segmentations with adversarial loss
Q Dou, C Ouyang, C Chen, H Chen, PA Heng
IJCAI 2018, 2018
2282018
Synergistic image and feature adaptation: Towards cross-modality domain adaptation for medical image segmentation
C Chen, Q Dou, H Chen, J Qin, PA Heng
AAAI 2019, 2019
1962019
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation
C Chen, Q Dou, H Chen, J Qin, PA Heng
IEEE Transactions on Medical Imaging, 2020
1602020
Semantic-aware generative adversarial nets for unsupervised domain adaptation in chest x-ray segmentation
C Chen, Q Dou, H Chen, PA Heng
MLMI@MICCAI 2018, 143-151, 2018
1492018
Pnp-adanet: Plug-and-play adversarial domain adaptation network with a benchmark at cross-modality cardiac segmentation
Q Dou, C Ouyang, C Chen, H Chen, B Glocker, X Zhuang, PA Heng
arXiv preprint arXiv:1812.07907, 2018
114*2018
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space
Q Liu, C Chen, J Qin, Q Dou, PA Heng
IEEE Conference on Computer Vision and Pattern Recognition, 2021
872021
Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images
J Zhou, LY Luo, Q Dou, H Chen, C Chen, GJ Li, ZF Jiang, PA Heng
Journal of Magnetic Resonance Imaging 50 (4), 1144-1151, 2019
722019
Robust multimodal brain tumor segmentation via feature disentanglement and gated fusion
C Chen, Q Dou, Y Jin, H Chen, J Qin, PA Heng
International Conference on Medical Image Computing and Computer-Assisted …, 2019
652019
Temporal memory relation network for workflow recognition from surgical video
Y Jin, Y Long, C Chen, Z Zhao, Q Dou, PA Heng
IEEE Transactions on Medical Imaging 40 (7), 1911-1923, 2021
272021
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling
C Chen, Q Liu, Y Jin, Q Dou, PA Heng
International Conference on Medical Image Computing and Computer-Assisted …, 2021
122021
Assessing thalamocortical functional connectivity with granger causality
C Chen, A Maybhate, D Israel, NV Thakor, X Jia
IEEE Transactions on Neural Systems and Rehabilitation Engineering 21 (5 …, 2013
112013
Unsupervised domain adaptation of convnets for medical image segmentation via adversarial learning
Q Dou, C Chen, C Ouyang, H Chen, PA Heng
Deep Learning and Convolutional Neural Networks for Medical Imaging and …, 2019
82019
Learning with privileged multimodal knowledge for unimodal segmentation
C Chen, Q Dou, Y Jin, Q Liu, PA Heng
IEEE Transactions on Medical Imaging 41 (3), 621-632, 2021
72021
Effect of hypothermia on cortical and thalamic signals in anesthetized rats
C Chen, A Maybhate, NV Thakor, X Jia
2013 35th Annual International Conference of the IEEE Engineering in …, 2013
42013
Federated Learning Enables Big Data for Rare Cancer Boundary Detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
arXiv preprint arXiv:2204.10836, 2022
22022
Exploring Intra-and Inter-Video Relation for Surgical Semantic Scene Segmentation
Y Jin, Y Yu, C Chen, Z Zhao, PA Heng, D Stoyanov
IEEE Transactions on Medical Imaging, 2022
12022
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary
Q Liu, C Chen, Q Dou, PA Heng
AAAI Conference on Artificial Intelligence (AAAI), 2022
12022
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift
W Ma, C Chen, S Zheng, J Qin, H Zhang, Q Dou
MICCAI 2022, 2022
2022
Online Reflective Learning for Robust Medical Image Segmentation
Y Huang, X Yang, X Huang, J Liang, X Zhou, C Chen, H Dou, X Hu, ...
MICCAI 2022, 2022
2022
DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images
H Yang, C Chen, M Jiang, Q Liu, J Cao, PA Heng, Q Dou
IEEE Transactions on Medical Imaging, 2022
2022
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