Chuyang Ye

Orcid: 0000-0001-5839-1559

According to our database1, Chuyang Ye authored at least 65 papers between 2011 and 2024.

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Bibliography

2024
Advancing Brain Tumor Inpainting with Generative Models.
CoRR, 2024

2023
One-shot segmentation of novel white matter tracts via extensive data augmentation and adaptive knowledge transfer.
Medical Image Anal., December, 2023

CarveMix: A simple data augmentation method for brain lesion segmentation.
NeuroImage, May, 2023

A microstructure estimation Transformer inspired by sparse representation for diffusion MRI.
Medical Image Anal., May, 2023

Unsupervised Brain Tumor Segmentation with Image-based Prompts.
CoRR, 2023

Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes.
CoRR, 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
Volumetric segmentation of white matter tracts with label embedding.
NeuroImage, 2022

A transfer learning approach to few-shot segmentation of novel white matter tracts.
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

One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Improved White Matter Tract Segmentation for Unannotated Dataset.
Proceedings of the 5th International Conference on Computer Science and Software Engineering, 2022

Semi-supervised Intracranial Aneurysm Segmentation with Selected Unlabeled Data.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021
Multimodal super-resolved <i>q</i>-space deep learning.
Medical Image Anal., 2021

Super-Resolved q-Space deep learning with uncertainty quantification.
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

CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Knowledge Transfer for Few-Shot Segmentation of Novel White Matter Tracts.
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

MonkeyCBP: A Toolbox for Connectivity-Based Parcellation of Monkey Brain.
Frontiers Neuroinformatics, 2020

White Matter Tract Segmentation with Self-supervised Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Frequency-Selective Learning for CT to MR Synthesis.
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

Volume Preserving Brain Lesion Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
A deep network for tissue microstructure estimation using modified LSTM units.
Medical Image Anal., 2019

Super-Resolved q-Space Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Semi-supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model.
Proceedings of the Information Processing in Medical Imaging, 2019

2018
Dictionary-based fiber orientation estimation with improved spatial consistency.
Medical Image Anal., 2018

2017
Probabilistic tractography using Lasso bootstrap.
Medical Image Anal., 2017

Tissue microstructure estimation using a deep network inspired by a dictionary-based framework.
Medical Image Anal., 2017

Fiber Orientation Estimation Guided by a Deep Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Learning-Based Ensemble Average Propagator Estimation.
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

Estimation of fiber orientations using neighborhood information.
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

Fiber Orientation Estimation Using Nonlocal and Local Information.
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

Probabilistic fiber tracking using a modified Lasso bootstrap method.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Automatic Method for Thalamus Parcellation Using Multi-modal Feature Classification.
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

Thalamic parcellation from multi-modal data using random forest learning.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
A fiber tracking method guided by volumetric tract segmentation.
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

Fully automatic segmentation of the dentate nucleus using diffusion weighted images.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Direct segmentation of the major white matter tracts in diffusion tensor images.
NeuroImage, 2011


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