Chuyang Ye
Orcid: 0000-0001-5839-1559
According to our database1,
Chuyang Ye
authored at least 74 papers
between 2011 and 2024.
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Bibliography
2024
Multi-Task Collaborative Pre-Training and Adaptive Token Selection: A Unified Framework for Brain Representation Learning.
IEEE J. Biomed. Health Informatics, September, 2024
SiMix: A domain generalization method for cross-site brain MRI harmonization via site mixing.
NeuroImage, 2024
Deep learning enables accurate brain tissue microstructure analysis based on clinically feasible diffusion magnetic resonance imaging.
NeuroImage, 2024
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report.
Medical Image Anal., 2024
CoRR, 2024
CoRR, 2024
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Intracranial Steno-Occlusive Lesion Detection on Magnetic Resonance Angiography Images.
Proceedings of the 2024 16th International Conference on Bioinformatics and Biomedical Technology, 2024
2023
One-shot segmentation of novel white matter tracts via extensive data augmentation and adaptive knowledge transfer.
Medical Image Anal., December, 2023
NeuroImage, May, 2023
A microstructure estimation Transformer inspired by sparse representation for diffusion MRI.
Medical Image Anal., May, 2023
Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotations.
CoRR, 2023
A Robust Mean Teacher Framework for Semi-Supervised Cell Detection in Histopathology Images.
Proceedings of the Medical Imaging with Deep Learning, 2023
AUA-dE: An Adaptive Uncertainty Guided Attention for Diffusion MRI Models Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Source-Free Domain Adaptation for Medical Image Segmentation via Selectively Updated Mean Teacher.
Proceedings of the Information Processing in Medical Imaging, 2023
Better Generalization of White Matter Tract Segmentation to Arbitrary Datasets with Scaled Residual Bootstrap.
Proceedings of the Information Processing in Medical Imaging, 2023
Measurements of Complexity in Vehicle Dashboards: Revision and Validation of the Perceived Visual Complexity Scale.
Proceedings of the Human-Computer Interaction, 2023
2022
NeuroImage, 2022
Medical Image Anal., 2022
A microstructure estimation Transformer inspired by sparse representation for diffusion MRI.
CoRR, 2022
An Adaptive Network with Extragradient for Diffusion MRI-Based Microstructure Estimation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Improved Domain Generalization for Cell Detection in Histopathology Images via Test-Time Stain Augmentation.
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
Proceedings of the 5th International Conference on Computer Science and Software Engineering, 2022
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
Medical Image Anal., 2021
Volumetric white matter tract segmentation with nested self-supervised learning using sequential pretext tasks.
Medical Image Anal., 2021
Knowledge transfer between brain lesion segmentation tasks with increased model capacity.
Comput. Medical Imaging Graph., 2021
Positive-Unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Information Processing in Medical Imaging, 2021
2020
An improved deep network for tissue microstructure estimation with uncertainty quantification.
Medical Image Anal., 2020
Frontiers Neuroinformatics, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Simulation and Synthesis in Medical Imaging, 2020
Segmentation-Based Method Combined with Dynamic Programming for Brain Midline Delineation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Knowledge Transfer Between Datasets for Learning-Based Tissue Microstructure Estimation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without Lesions.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
Medical Image Anal., 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Information Processing in Medical Imaging, 2019
2018
Medical Image Anal., 2018
2017
Tissue microstructure estimation using a deep network inspired by a dictionary-based framework.
Medical Image Anal., 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Estimation of Tissue Microstructure Using a Deep Network Inspired by a Sparse Reconstruction Framework.
Proceedings of the Information Processing in Medical Imaging, 2017
2016
Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease.
NeuroImage, 2016
Medical Image Anal., 2016
A Bayesian approach to fiber orientation estimation guided by volumetric tract segmentation.
Comput. Medical Imaging Graph., 2016
Quality assurance using outlier detection on an automatic segmentation method for the cerebellar peduncles.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6.
Neuroinformatics, 2015
A Bayesian approach to distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging.
Comput. Medical Imaging Graph., 2015
Relating speech production to tongue muscle compressions using tagged and high-resolution magnetic resonance imaging.
Proceedings of the Medical Imaging 2015: Image Processing, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Improved mass detection in 3D automated breast ultrasound using region based features and multi-view information.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
A Bayesian Approach to Distinguishing Interdigitated Muscles in the Tongue from Limited Diffusion Weighted Imaging.
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014
2013
Parcellation of the thalamus using diffusion tensor images and a multi-object geometric deformable model.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
Segmentation of the complete superior cerebellar peduncles using a multi-object geometric deformable model.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
2012
Proceedings of the 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, 2012
Labeling of the cerebellar peduncles using a supervised Gaussian classifier with volumetric tract segmentation.
Proceedings of the Medical Imaging 2012: Image Processing, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
NeuroImage, 2011