Cheng Chen
Orcid: 0000-0002-6040-6833Affiliations:
- Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
According to our database1,
Cheng Chen
authored at least 22 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Federated Semi-Supervised Medical Image Segmentation via Prototype-Based Pseudo-Labeling and Contrastive Learning.
IEEE Trans. Medical Imaging, February, 2024
2023
Continual Nuclei Segmentation via Prototype-Wise Relation Distillation and Contrastive Learning.
IEEE Trans. Medical Imaging, December, 2023
IEEE Trans. Medical Imaging, 2023
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Diffusion Model Based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification.
Proceedings of the Information Processing in Medical Imaging, 2023
2022
DLTTA: Dynamic Learning Rate for Test-Time Adaptation on Cross-Domain Medical Images.
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
IEEE Trans. Medical Imaging, 2022
Test-Time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Single-Domain Generalization in Medical Image Segmentation via Test-Time Adaptation from Shape Dictionary.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Medical Imaging, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Efficient Federated Tumor Segmentation via Normalized Tensor Aggregation and Client Pruning.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2020
2019
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation.
IEEE Access, 2019
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation.
CoRR, 2018
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-Ray Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018