Cheng Chen

Orcid: 0000-0002-6040-6833

Affiliations:
  • Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong


According to our database1, Cheng Chen authored at least 36 papers between 2018 and 2024.

Collaborative distances:

Timeline

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2021
2022
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2024
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Bibliography

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

MA-SAM: Modality-agnostic SAM adaptation for 3D medical image segmentation.
Medical Image Anal., 2024

EchoFM: Foundation Model for Generalizable Echocardiogram Analysis.
CoRR, 2024

Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning.
CoRR, 2024

Dealing with All-stage Missing Modality: Towards A Universal Model with Robust Reconstruction and Personalization.
CoRR, 2024

FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks.
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

IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2023

Radiology-Llama2: Best-in-Class Large Language Model for Radiology.
CoRR, 2023

Radiology-GPT: A Large Language Model for Radiology.
CoRR, 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

Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning.
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

CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation.
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

Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation.
IEEE Trans. Medical Imaging, 2022

Learning With Privileged Multimodal Knowledge for Unimodal Segmentation.
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
Temporal Memory Relation Network for Workflow Recognition From Surgical Video.
IEEE Trans. Medical Imaging, 2021

Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling.
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


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