Chuyang Ye

发表

Fiber Tracking and Fiber Tract Segmentation Using Diffusion Tensor Imaging

Chuyang Ye, 2014 .

Reconstruction of the human cerebral cortex robust to white matter lesions: Method and validation

Jennifer L. Cuzzocreo, Jerry L Prince, D. Reich, 2014, Human brain mapping.

Performance Optimization of Suppression Method for Platform Vibration Noise based on Vector Hydrophone

Yougen Xu, Chuyang Ye, Tian Hu, 2022, Journal of Physics: Conference Series.

Using machine learning tools to predict outcomes for emergency department intensive care unit patients

Chuyang Ye, Q. Ma, Nan Li, 2020, Scientific Reports.

Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6

Jerry L Prince, Zhen Yang, S. Ying, 2015, Neuroinformatics.

MonkeyCBP: A Toolbox for Connectivity-Based Parcellation of Monkey Brain

Hai Li, Chuyang Ye, Zhengyi Yang, 2020, Frontiers in Neuroinformatics.

Nutritional supplements formulated to prevent cognitive impairment in animals

Chuyang Ye, Hongxia Li, Yinyin Zhang, 2022, Current research in food science.

Deep Learning for Noninvasive Assessment of H3 K27M Mutation Status in Diffuse Midline Gliomas Using MR Imaging

Raymond Y Huang, F. Barkhof, H. Sair, 2023, Journal of magnetic resonance imaging : JMRI.

Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotations

Chuyang Ye, Fengqian Pang, Zipei Zhao, 2023, Machine Learning for Biomedical Imaging.

Multimodal super-resolved q-space deep learning

Yu Qin, Chuyang Ye, Zhizheng Zhuo, 2021, Medical Image Anal..

Super-Resolved q-Space deep learning with uncertainty quantification

Yu Qin, Chuyang Ye, Zhiwen Liu, 2020, Medical Image Anal..

An improved deep network for tissue microstructure estimation with uncertainty quantification

Chuyang Ye, Xiangzhu Zeng, Yuxing Li, 2020, Medical Image Anal..

A deep network for tissue microstructure estimation using modified LSTM units

Chuyang Ye, Jingnan Chen, Xiuli Li, 2019, Medical Image Anal..

Dictionary‐based fiber orientation estimation with improved spatial consistency

Jerry L. Prince, Chuyang Ye, Jerry L Prince, 2018, Medical Image Anal..

Tissue microstructure estimation using a deep network inspired by a dictionary‐based framework

Chuyang Ye, Chuyang Ye, 2017, Medical Image Anal..

Probabilistic tractography using Lasso bootstrap

Jerry L. Prince, Chuyang Ye, Jerry L Prince, 2017, Medical Image Anal..

A Bayesian approach to fiber orientation estimation guided by volumetric tract segmentation

Jerry L. Prince, Chuyang Ye, Jerry L Prince, 2016, Comput. Medical Imaging Graph..

Estimation of fiber orientations using neighborhood information

Jerry L. Prince, Chuyang Ye, Jerry L Prince, 2016, Medical Image Anal..

A Bayesian approach to distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging

Jerry L. Prince, Chuyang Ye, Maureen Stone, 2015, Comput. Medical Imaging Graph..

Probabilistic fiber tracking using a modified Lasso bootstrap method

Jerry L. Prince, Chuyang Ye, Jerry L Prince, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

A Bayesian Approach to Distinguishing Interdigitated Muscles in the Tongue from Limited Diffusion Weighted Imaging

Aaron Carass, Jerry L. Prince, Chuyang Ye, 2014, BAMBI.

Fiber Orientation Estimation Using Nonlocal and Local Information

Chuyang Ye, Chuyang Ye, 2016, MICCAI.

Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model pdf

Yiming Li, Chuyang Ye, Yuxing Li, 2019, IPMI.

Automated Cerebellar Lobule Segmentation using Graph Cuts

Aaron Carass, Jerry L. Prince, Chuyang Ye, 2014 .

Unsupervised Brain Tumor Segmentation with Image-based Prompts

Chuyang Ye, Chenghao Liu, Z. Zhuo, 2023, ArXiv.

Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes

N. Makris, Weidong (Tom) Cai, Fan Zhang, 2023, ArXiv.

Automated Classification of Intramedullary Spinal Cord Tumors and Inflammatory Demyelinating Lesions Using Deep Learning.

F. Barkhof, S. Haller, Y. Duan, 2022, Radiology. Artificial intelligence.

A microstructure estimation Transformer inspired by sparse representation for diffusion MRI

Weihao Zheng, Yi Zhang, Chuyang Ye, 2022, ArXiv.

Volumetric white matter tract segmentation with nested self-supervised learning using sequential pretext tasks

Chuyang Ye, Qi Lu, Yuxing Li, 2021, Medical Image Anal..

White Matter Tract Segmentation with Self-supervised Learning

Chuyang Ye, Qi Lu, Yuxing Li, 2020, MICCAI.

CarveMix: A simple data augmentation method for brain lesion segmentation

Chuyang Ye, Yizhou Yu, Chenghao Liu, 2021, NeuroImage.

Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease

Aaron Carass, Jerry L. Prince, Chuyang Ye, 2016, NeuroImage.

Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations pdf

Chuyang Ye, Fengqian Pang, Zhiwen Liu, 2021, MICCAI.

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

Y. Duan, Chuyang Ye, Yaou Liu, 2022, Medical Image Anal..

Volumetric segmentation of white matter tracts with label embedding

Y. Duan, Chuyang Ye, Yaou Liu, 2022, NeuroImage.

Pretraining Improves Deep Learning Based Tissue Microstructure Estimation

Yu Qin, Chuyang Ye, Yuxing Li, 2021, Computational Diffusion MRI.

Direct segmentation of the major white matter tracts in diffusion tensor images

Jerry L. Prince, Pierre-Louis Bazin, Daniel S. Reich, 2011, NeuroImage.

Super-Resolved q-Space Deep Learning

Chenghao Liu, Chuyang Ye, Yu Qin, 2019, MICCAI.

Knowledge transfer between brain lesion segmentation tasks with increased model capacity

Chuyang Ye, Xiangzhu Zeng, Wenhui Cui, 2020, Comput. Medical Imaging Graph..

One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation

Chuyang Ye, Yaou Liu, Z. Zhuo, 2023, MICCAI.

An Adaptive Network with Extragradient for Diffusion MRI-Based Microstructure Estimation

Weihao Zheng, Chuyang Ye, Yi Zhang, 2022, MICCAI.

ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection

Zhaojing Luo, Meihui Zhang, Chuyang Ye, 2023, KDD.

Cerebellar Contributions to Motor and Cognitive Control in Multiple Sclerosis.

Jerry L Prince, P. Calabresi, K. Zackowski, 2023, Archives of Physical Medicine and Rehabilitation.

Segmentation of the complete superior cerebellar peduncles using a multi-object geometric deformable model

Jerry L. Prince, Chuyang Ye, Jerry L Prince, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Labeling of the cerebellar peduncles using a supervised Gaussian classifier with volumetric tract segmentation

Jerry L. Prince, Pierre-Louis Bazin, Chuyang Ye, 2012, Medical Imaging.

Subdivisions of the posteromedial cortex in disorders of consciousness

Ming Song, T. Jiang, J. Sui, 2018, NeuroImage: Clinical.

Volume Preserving Brain Lesion Segmentation

Chuyang Ye, Xiangzhu Zeng, Yanling Liu, 2020, BrainLes@MICCAI.

Knowledge Transfer for Few-shot Segmentation of Novel White Matter Tracts

Chuyang Ye, Qi Lu, Chuyang Ye, 2021, IPMI.

Fully automatic segmentation of the dentate nucleus using diffusion weighted images

Jerry L. Prince, Pierre-Louis Bazin, Chuyang Ye, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

q-Space Learning with Synthesized Training Data

Yue Cui, Chuyang Ye, Xiuli Li, 2019, Computational Diffusion MRI.

Relating speech production to tongue muscle compressions using tagged and high-resolution magnetic resonance imaging

Jerry L. Prince, Chuyang Ye, Fangxu Xing, 2015, Medical Imaging.