Chengyan Wang
Orcid: 0000-0002-8890-4973
According to our database1,
Chengyan Wang
authored at least 34 papers
between 2011 and 2025.
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Bibliography
2025
Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba.
Medical Image Anal., 2025
Recent advances in data-driven fusion of multi-modal imaging and genomics for precision medicine.
Inf. Fusion, 2025
2024
Multicontrast MRI Super-Resolution via Transformer-Empowered Multiscale Contextual Matching and Aggregation.
IEEE Trans. Neural Networks Learn. Syst., September, 2024
Generative Adversarial Registration Network for Multi-Contrast Liver MRI Registration and Added Value to Hepatocellular Carcinoma Segmentation: A Multicentre Study.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
STADNet: Spatial-Temporal Attention-Guided Dual-Path Network for cardiac cine MRI super-resolution.
Medical Image Anal., 2024
CoRR, 2024
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI.
CoRR, 2024
Enhancing Global Sensitivity and Uncertainty Quantification in Medical Image Reconstruction with Monte Carlo Arbitrary-Masked Mamba.
CoRR, 2024
Simultaneous Deep Learning of Myocardium Segmentation and T2 Quantification for Acute Myocardial Infarction MRI.
CoRR, 2024
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Adaptive feature aggregation based multi-task learning for uncertainty-guided semi-supervised medical image segmentation.
Expert Syst. Appl., December, 2023
Adaptive channel-modulated personalized federated learning for magnetic resonance image reconstruction.
Comput. Biol. Medicine, October, 2023
Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction.
Medical Image Anal., April, 2023
CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction.
CoRR, 2023
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction.
CoRR, 2023
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023
Multi-level Temporal Information Sharing Transformer-Based Feature Reuse Network for Cardiac MRI Reconstruction.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023
2022
Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional LSTM.
IEEE Trans. Medical Imaging, 2022
Multiple B-Value Model-Based Residual Network (MORN) for Accelerated High-Resolution Diffusion-Weighted Imaging.
IEEE J. Biomed. Health Informatics, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
DuDoCAF: Dual-Domain Cross-Attention Fusion with Recurrent Transformer for Fast Multi-contrast MR Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
WavTrans: Synergizing Wavelet and Cross-Attention Transformer for Multi-contrast MRI Super-Resolution.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Deep learning based multiplexed sensitivity-encoding (DL-MUSE) for high-resolution multi-shot DWI.
NeuroImage, 2021
Transfer learning enhanced generative adversarial networks for multi-channel MRI reconstruction.
Comput. Biol. Medicine, 2021
A Modified Generative Adversarial Network Using Spatial and Channel-Wise Attention for CS-MRI Reconstruction.
IEEE Access, 2021
High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network With Attention and Cyclic Loss.
IEEE Access, 2021
Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2019
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
2017
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
2012
Proceedings of 9th IEEE International Conference on Networking, Sensing and Control, 2012
2011
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011