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 46 papers
between 2012 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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on orcid.org
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Bibliography
2025
Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport.
CoRR, July, 2025
Multi-Organ Segmentation From Partially Labeled and Unaligned Multi-Modal MRI in Thyroid-Associated Orbitopathy.
IEEE J. Biomed. Health Informatics, June, 2025
A Clinician-Friendly Platform for Ophthalmic Image Analysis Without Technical Barriers.
CoRR, April, 2025
2024
Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage.
IEEE Trans. Medical Imaging, August, 2024
Federated Semi-Supervised Medical Image Segmentation via Prototype-Based Pseudo-Labeling and Contrastive Learning.
IEEE Trans. Medical Imaging, February, 2024
Medical Image Anal., 2024
Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning.
CoRR, 2024
Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases.
CoRR, 2024
Dealing with All-stage Missing Modality: Towards A Universal Model with Robust Reconstruction and Personalization.
CoRR, 2024
FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Continual Nuclei Segmentation via Prototype-Wise Relation Distillation and Contrastive Learning.
IEEE Trans. Medical Imaging, December, 2023
IEEE Trans. Medical Imaging, 2023
Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023
SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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
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
Proceedings of the IEEE/CVF International Conference on Computer Vision, 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
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
2013
Band specific changes in thalamocortical synchrony in field potentials after Cardiac Arrest induced global hypoxia.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013
2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012