Chuyang Ye

108 papers A* 1A 1B 4Journal 57Unranked 45
YearRankTypeTitle / Venue / Authors
2026 J jnl
DRCAM: Dose Reduction via Contrast Amplification Modeling for brain contrast-enhanced magnetic resonance images.
Biomed. Signal Process. Control.
Haowen Pang, Siyao Xu, Xinru Zhang, Fengping An, Xiaofeng Zhang, Ying Wang, Fujun Liu, Tianyi Yan, Patrick C. Marais, Yinfeng Qian, Yaou Liu, Chuyang Ye
2026 J jnl
Test-Time Adaptation for Tactile-Vision-Language Models.
CoRR
Chuyang Ye, Haoxian Jing, Qinting Jiang, Yixi Lin, Qiang Li, Xing Tang, Jingyan Jiang
2026 J jnl
Trifocal Transformer: Connection-Mask-Residual Focused Attention Network for Brain Disease Diagnosis.
IEEE J. Biomed. Health Informatics
Bin Wang, Jiarui Liang, Chuyang Ye, Ting Yan, Miaomiao Liu, Tianyi Yan
2025 J jnl
A Foundation Model for Lesion Segmentation on Brain MRI With Mixture of Modality Experts.
IEEE Trans. Medical Imaging
Xinru Zhang, Ni Ou, Berke Doga Basaran, Marco Visentin, Mengyun Qiao, Renyang Gu, Paul M. Matthews, Yaou Liu, Chuyang Ye, Wenjia Bai
2025 J jnl
An extragradient and noise-tuning adaptive iterative network for diffusion MRI-based microstructural estimation.
Medical Image Anal.
Tianshu Zheng, Chuyang Ye, Zhaopeng Cui, Hui Zhang, Daniel C. Alexander, Dan Wu
2025 J jnl
Anatomy-guided slice-description interaction for multimodal brain disease diagnosis based on 3D image and radiological report.
Comput. Medical Imaging Graph.
Xin Gao, Meihui Zhang, Junjie Li, Shanbo Zhao, Zhizheng Zhuo, Liying Qu, Jinyuan Weng, Li Chai, Yunyun Duan, Chuyang Ye, Yaou Liu
2025 J jnl
Attention-Based Q-Space Deep Learning Generalized for Accelerated Diffusion Magnetic Resonance Imaging.
IEEE J. Biomed. Health Informatics
Fangrong Zong, Zaimin Zhu, Jiayi Zhang, Xiaofeng Deng, Zhuangzhuang Li, Chuyang Ye, Yong Liu
2025 — conf
Cascaded Diffusion Model and Segment Anything Model for Medical Image Synthesis via Uncertainty-Guided Prompt Generation.
IPMI (1)
Haowen Pang, Xiaoming Hong, Peng Zhang, Chuyang Ye
2025 — conf
D
MICCAI (16)
Haowen Pang, Peng Zhang, Xiaoming Hong, Shannan Chen, Chuyang Ye
2025 A conf
DATTA: Domain Diversity Aware Test-Time Adaptation for Dynamic Domain Shift Data Streams.
ICME
Chuyang Ye, Dongyan Wei, Zhendong Liu, Yuanyi Pang, Yixi Lin, Qinting Jiang, Jingyan Jiang, Dongbiao He
2025 J jnl
Feature-Based Instance Neighbor Discovery: Advanced Stable Test-Time Adaptation in Dynamic World.
CoRR
Qinting Jiang, Chuyang Ye, Dongyan Wei, Bingli Wang, Yuan Xue, Jingyan Jiang, Zhi Wang
2025 J jnl
HMDA: A Hybrid Model With Multi-Scale Deformable Attention for Medical Image Segmentation.
IEEE J. Biomed. Health Informatics
Mengmeng Wu, Tiantian Liu, Xin Dai, Chuyang Ye, Jinglong Wu, Shintaro Funahashi, Tianyi Yan
2025 — conf
Hierarchical Anatomy-Aware Guidance for Brain Tissue Microstructure Reconstruction from T1-Weighted MRI.
MICCAI (3)
Yuxing Li, Chuyang Ye
2025 J jnl
MolCLIP: A Molecular-Auxiliary CLIP Framework for Identifying Drug Mechanism of Action Based on Time-Lapsed Mitochondrial Images.
CoRR
Fengqian Pang, Chunyue Lei, Hongfei Zhao, Chenghao Liu, Zhiqiang Xing, Huafeng Wang, Chuyang Ye
2025 J jnl
Multi-modal brain MRI synthesis based on SwinUNETR.
CoRR
Haowen Pang, Weiyan Guo, Chuyang Ye
2025 — conf
Towards Accurate Tumor Budding Detection: A Benchmark Dataset and A Detection Approach Based on Implicit Annotation Standardization and Positive-Negative Feature Coupling.
MICCAI (3)
Ruiqing Sun, Zeng Fan, Boyang Dai, Yiyan Su, Qun Hao, Chuyang Ye, Shaohui Zhang
2025 — conf
UniCross: Balanced Multimodal Learning for Alzheimer's Disease Diagnosis by Uni-modal Separation and Metadata-Guided Cross-Modal Interaction.
MICCAI (15)
Lisong Yin, Chuyang Ye, Tiantian Liu, Jinglong Wu, Tianyi Yan
2025 — conf
Unsupervised Brain Tumor Segmentation via Bi-Level Optimization Guided by Radiological Reports.
DGM4MICCAI@MICCAI
Peng Zhang, Haowen Pang, Xinru Zhang, Xin Gao, Chenghao Liu, Xiaoming Hong, Runze Jiang, Yaou Liu, Chuyang Ye
2024 — conf
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts.
MICCAI (12)
Xinru Zhang, Ni Ou, Berke Doga Basaran, Marco Visentin, Mengyun Qiao, Renyang Gu, Cheng Ouyang, Yaou Liu, Paul M. Matthews, Chuyang Ye, Wenjia Bai
2024 J jnl
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality Experts.
CoRR
Xinru Zhang, Ni Ou, Berke Doga Basaran, Marco Visentin, Mengyun Qiao, Renyang Gu, Cheng Ouyang, Yaou Liu, Paul M. Matthews, Chuyang Ye, Wenjia Bai
2024 J jnl
Advancing Brain Tumor Inpainting with Generative Models.
CoRR
Ruizhi Zhu, Xinru Zhang, Haowen Pang, Chundan Xu, Chuyang Ye
2024 — conf
CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis.
MICCAI (7)
Lujun Gui, Chuyang Ye, Tianyi Yan
2024 J jnl
CAVM: Conditional Autoregressive Vision Model for Contrast-Enhanced Brain Tumor MRI Synthesis.
CoRR
Lujun Gui, Chuyang Ye, Tianyi Yan
2024 J jnl
DATTA: Towards Diversity Adaptive Test-Time Adaptation in Dynamic Wild World.
CoRR
Chuyang Ye, Dongyan Wei, Zhendong Liu, Yuanyi Pang, Yixi Lin, Jiarong Liao, Qinting Jiang, Xianghua Fu, Qing Li, Jingyan Jiang
2024 J jnl
Deep learning enables accurate brain tissue microstructure analysis based on clinically feasible diffusion magnetic resonance imaging.
NeuroImage
Yuxing Li, Zhizheng Zhuo, Chenghao Liu, Yunyun Duan, Yulu Shi, Tingting Wang, Runzhi Li, Yanli Wang, Jiwei Jiang, Jun Xu, Decai Tian, Xinghu Zhang, Fudong Shi, Xiaofeng Zhang, Aaron Carass, Frederik Barkhof, Jerry L. Prince, Chuyang Ye, Yaou Liu
2024 J jnl
Discover Your Neighbors: Advanced Stable Test-Time Adaptation in Dynamic World.
CoRR
Qinting Jiang, Chuyang Ye, Dongyan Wei, Yuan Xue, Jingyan Jiang, Zhi Wang
2024 J jnl
Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report.
Medical Image Anal.
Evi M. C. Huijben, Maarten L. Terpstra, Arthur Jr Galapon, Suraj Pai, Adrian Thummerer, Peter Koopmans, Manya Afonso, Maureen A. J. M. van Eijnatten, Oliver J. Gurney-Champion, Zeli Chen, Yiwen Zhang, Kaiyi Zheng, Chuanpu Li, Haowen Pang, Chuyang Ye, Runqi Wang, Tao Song, Fuxin Fan, Jingna Qiu, Yixing Huang, Juhyung Ha, Jong Sung Park, Alexandra Alain-Beaudoin, Silvain Bériault, Pengxin Yu, Hongbin Guo, Zhanyao Huang, Gengwan Li, Xueru Zhang, Yubo Fan, Han Liu, Bowen Xin, Aaron Nicolson, Lujia Zhong, Zhiwei Deng, Gustav Müller-Franzes, Firas Khader, Xia Li, Ye Zhang, Cédric Hémon, Valentin Boussot, Zhihao Zhang, Long Wang, Lu Bai, Shaobin Wang, Derk Mus, Bram Kooiman, Chelsea A. H. Sargeant, Edward G. A. Henderson, Satoshi Kondo, Satoshi Kasai, Reza Karimzadeh, Bulat Ibragimov, Thomas Helfer, Jessica Dafflon, Zijie Chen, Enpei Wang, Zoltán Perkó, Matteo Maspero
2024 — conf
Improved Stroke Lesion Segmentation via Cross-Model Knowledge Distillation.
SWITCH/ISLES@MICCAI
Zixin Liu, Haowen Pang, Xinru Zhang, Chuyang Ye
2024 — conf
Intracranial Steno-Occlusive Lesion Detection on Magnetic Resonance Angiography Images.
ICBBT
Zhihao Jia, Chuyang Ye, Youyuan Zhao, Jingang Chen, Jiande Ouyang, Xuesheng Ma
2024 — conf
MedMM: A Multimodal Fusion Framework for 3D Medical Image Classification with Multigranular Text Guidance.
BigCom
Shanbo Zhao, Meihui Zhang, Xiaoqin Zhu, Junjie Li, Yunyun Duan, Zhizheng Zhuo, Yaou Liu, Chuyang Ye
2024 J jnl
Multi-Task Collaborative Pre-Training and Adaptive Token Selection: A Unified Framework for Brain Representation Learning.
IEEE J. Biomed. Health Informatics
Ning Jiang, Gongshu Wang, Chuyang Ye, Tiantian Liu, Tianyi Yan
2024 J jnl
SiMix: A domain generalization method for cross-site brain MRI harmonization via site mixing.
NeuroImage
Chundan Xu, Jie Li, Yakui Wang, Lixue Wang, Yizhe Wang, Xiaofeng Zhang, Weiqi Liu, Jingang Chen, Aleksandra Vatian, Natalia F. Gusarova, Chuyang Ye, Zhuozhao Zheng
2023 — conf
A Robust Mean Teacher Framework for Semi-Supervised Cell Detection in Histopathology Images.
MIDL
Ziqi Wen, Chuyang Ye
2023 J jnl
A microstructure estimation Transformer inspired by sparse representation for diffusion MRI.
Medical Image Anal.
Tianshu Zheng, Guohui Yan, Haotian Li, Weihao Zheng, Wen Shi, Yi Zhang, Chuyang Ye, Dan Wu
2023 — conf
AUA-dE: An Adaptive Uncertainty Guided Attention for Diffusion MRI Models Estimation.
MICCAI (8)
Tianshu Zheng, Ruicheng Ba, Xiaoli Wang, Chuyang Ye, Dan Wu
2023 — conf
Better Generalization of White Matter Tract Segmentation to Arbitrary Datasets with Scaled Residual Bootstrap.
IPMI
Wan Liu, Chuyang Ye
2023 J jnl
Better Generalization of White Matter Tract Segmentation to Arbitrary Datasets with Scaled Residual Bootstrap.
CoRR
Wan Liu, Chuyang Ye
2023 J jnl
CarveMix: A simple data augmentation method for brain lesion segmentation.
NeuroImage
Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Zhizheng Zhuo, Yunyun Duan, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Yaou Liu, Chuyang Ye
2023 A* conf
ECGGAN: A Framework for Effective and Interpretable Electrocardiogram Anomaly Detection.
KDD
Huazhang Wang, Zhaojing Luo, James Wei Luen Yip, Chuyang Ye, Meihui Zhang
2023 J jnl
Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes.
CoRR
Wan Liu, Yuqian Chen, Chuyang Ye, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell
2023 — conf
Measurements of Complexity in Vehicle Dashboards: Revision and Validation of the Perceived Visual Complexity Scale.
HCI (1)
Chuyang Ye, Zhizi Liu, Sihan Dong, Xueying Shao, Hongyu Chen, Honghai Zhu, Liang Zhang
2023 J jnl
One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation.
CoRR
Wan Liu, Qi Lu, Zhizheng Zhuo, Yaou Liu, Chuyang Ye
2023 J jnl
One-shot segmentation of novel white matter tracts via extensive data augmentation and adaptive knowledge transfer.
Medical Image Anal.
Wan Liu, Zhizheng Zhuo, Yaou Liu, Chuyang Ye
2023 J jnl
Positive-unlabeled learning for binary and multi-class cell detection in histopathology images with incomplete annotations.
CoRR
Zipei Zhao, Fengqian Pang, Yaou Liu, Zhiwen Liu, Chuyang Ye
2023 — conf
Source-Free Domain Adaptation for Medical Image Segmentation via Selectively Updated Mean Teacher.
IPMI
Ziqi Wen, Xinru Zhang, Chuyang Ye
2023 J jnl
Unsupervised Brain Tumor Segmentation with Image-based Prompts.
CoRR
Xinru Zhang, Ni Ou, Chenghao Liu, Zhizheng Zhuo, Yaou Liu, Chuyang Ye
2022 J jnl
A microstructure estimation Transformer inspired by sparse representation for diffusion MRI.
CoRR
Tianshu Zheng, Cong Sun, Weihao Zheng, Wen Shi, Haotian Li, Yi Sun, Yi Zhang, Guangbin Wang, Chuyang Ye, Dan Wu
2022 J jnl
A transfer learning approach to few-shot segmentation of novel white matter tracts.
Medical Image Anal.
Qi Lu, Wan Liu, Zhizheng Zhuo, Yuxing Li, Yunyun Duan, Pinnan Yu, Liying Qu, Chuyang Ye, Yaou Liu
2022 — conf
An Adaptive Network with Extragradient for Diffusion MRI-Based Microstructure Estimation.
MICCAI (1)
Tianshu Zheng, Weihao Zheng, Yi Sun, Yi Zhang, Chuyang Ye, Dan Wu
2022 — conf
Improved Domain Generalization for Cell Detection in Histopathology Images via Test-Time Stain Augmentation.
MICCAI (2)
Chundan Xu, Ziqi Wen, Zhiwen Liu, Chuyang Ye
2022 — conf
Improved White Matter Tract Segmentation for Unannotated Dataset.
CSSE
Yijia Zeng, Wan Liu, Zhiwen Liu, Chuyang Ye
2022 — conf
One-Shot Segmentation of Novel White Matter Tracts via Extensive Data Augmentation.
MICCAI (1)
Wan Liu, Qi Lu, Zhizheng Zhuo, Yaou Liu, Chuyang Ye
2022 — conf
Semi-supervised Intracranial Aneurysm Segmentation with Selected Unlabeled Data.
BrainLes@MICCAI
Shiyu Lu, Hao Wang, Chuyang Ye
2022 J jnl
Volumetric segmentation of white matter tracts with label embedding.
NeuroImage
Wan Liu, Qi Lu, Zhizheng Zhuo, Yuxing Li, Yunyun Duan, Pinnan Yu, Liying Qu, Chuyang Ye, Yaou Liu
2021 — conf
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation.
MICCAI (1)
Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye
2021 J jnl
CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation.
CoRR
Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye
2021 — conf
Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects.
MICCAI (1)
Chenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye
2021 — conf
Knowledge Transfer for Few-Shot Segmentation of Novel White Matter Tracts.
IPMI
Qi Lu, Chuyang Ye
2021 J jnl
Knowledge Transfer for Few-shot Segmentation of Novel White Matter Tracts.
CoRR
Qi Lu, Chuyang Ye
2021 J jnl
Knowledge transfer between brain lesion segmentation tasks with increased model capacity.
Comput. Medical Imaging Graph.
Yanlin Liu, Wenhui Cui, Qing Ha, Xiaoliang Xiong, Xiangzhu Zeng, Chuyang Ye
2021 J jnl
Multimodal super-resolved
Medical Image Anal.
Yu Qin, Yuxing Li, Zhizheng Zhuo, Zhiwen Liu, Yaou Liu, Chuyang Ye
2021 — conf
Positive-Unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations.
MICCAI (8)
Zipei Zhao, Fengqian Pang, Zhiwen Liu, Chuyang Ye
2021 J jnl
Positive-unlabeled Learning for Cell Detection in Histopathology Images with Incomplete Annotations.
CoRR
Zipei Zhao, Fengqian Pang, Zhiwen Liu, Chuyang Ye
2021 J jnl
Super-Resolved q-Space deep learning with uncertainty quantification.
Medical Image Anal.
Yu Qin, Zhiwen Liu, Chenghao Liu, Yuxing Li, Xiangzhu Zeng, Chuyang Ye
2021 J jnl
Volumetric white matter tract segmentation with nested self-supervised learning using sequential pretext tasks.
Medical Image Anal.
Qi Lu, Yuxing Li, Chuyang Ye
2020 J jnl
An improved deep network for tissue microstructure estimation with uncertainty quantification.
Medical Image Anal.
Chuyang Ye, Yuxing Li, Xiangzhu Zeng
2020 — conf
Frequency-Selective Learning for CT to MR Synthesis.
SASHIMI@MICCAI
Zi Lin, Manli Zhong, Xiangzhu Zeng, Chuyang Ye
2020 — conf
Knowledge Transfer Between Datasets for Learning-Based Tissue Microstructure Estimation.
ISBI
Yu Qin, Yuxing Li, Zhiwen Liu, Chuyang Ye
2020 J jnl
MonkeyCBP: A Toolbox for Connectivity-Based Parcellation of Monkey Brain.
Frontiers Neuroinformatics
Bin He, Zhengyi Yang, Lingzhong Fan, Bin Gao, Hai Li, Chuyang Ye, Bo You, Tianzi Jiang
2020 — conf
Segmentation-Based Method Combined with Dynamic Programming for Brain Midline Delineation.
ISBI
Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang
2020 J jnl
Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation.
CoRR
Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang
2020 — conf
Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without Lesions.
ISBI
Chenghao Liu, Fengqian Pang, Yanlin Liu, Kongming Liang, Xiuli Li, Xiangzhu Zeng, Chuyang Ye
2020 — conf
Volume Preserving Brain Lesion Segmentation.
BrainLes@MICCAI (1)
Yanlin Liu, Xiangzhu Zeng, Chuyang Ye
2020 — conf
White Matter Tract Segmentation with Self-supervised Learning.
MICCAI (7)
Qi Lu, Yuxing Li, Chuyang Ye
2019 J jnl
A deep network for tissue microstructure estimation using modified LSTM units.
Medical Image Anal.
Chuyang Ye, Xiuli Li, Jingnan Chen
2019 J jnl
Knowledge Transfer between Datasets for Learning-based Tissue Microstructure Estimation.
CoRR
Yu Qin, Yuxing Li, Zhiwen Liu, Chuyang Ye
2019 J jnl
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model.
CoRR
Wenhui Cui, Yanlin Liu, Yuxing Li, Menghao Guo, Yiming Li, Xiuli Li, Tianle Wang, Xiangzhu Zeng, Chuyang Ye
2019 — conf
Semi-supervised Brain Lesion Segmentation with an Adapted Mean Teacher Model.
IPMI
Wenhui Cui, Yanlin Liu, Yuxing Li, Menghao Guo, Yiming Li, Xiuli Li, Tianle Wang, Xiangzhu Zeng, Chuyang Ye
2019 — conf
Super-Resolved q-Space Deep Learning.
MICCAI (3)
Chuyang Ye, Yu Qin, Chenghao Liu, Yuxing Li, Xiangzhu Zeng, Zhiwen Liu
2018 J jnl
Dictionary-based fiber orientation estimation with improved spatial consistency.
Medical Image Anal.
Chuyang Ye, Jerry L. Prince
2017 — conf
Estimation of Tissue Microstructure Using a Deep Network Inspired by a Sparse Reconstruction Framework.
IPMI
Chuyang Ye
2017 J jnl
Estimation of Tissue Microstructure Using a Deep Network Inspired by a Sparse Reconstruction Framework.
CoRR
Chuyang Ye
2017 — conf
Fiber Orientation Estimation Guided by a Deep Network.
MICCAI (1)
Chuyang Ye, Jerry L. Prince
2017 J jnl
Fiber Orientation Estimation Guided by a Deep Network.
CoRR
Chuyang Ye, Jerry L. Prince
2017 — conf
Learning-Based Ensemble Average Propagator Estimation.
MICCAI (1)
Chuyang Ye
2017 J jnl
Learning-based Ensemble Average Propagator Estimation.
CoRR
Chuyang Ye
2017 J jnl
Probabilistic tractography using Lasso bootstrap.
Medical Image Anal.
Chuyang Ye, Jerry L. Prince
2017 J jnl
Tissue microstructure estimation using a deep network inspired by a dictionary-based framework.
Medical Image Anal.
Chuyang Ye
2016 J jnl
A Bayesian approach to fiber orientation estimation guided by volumetric tract segmentation.
Comput. Medical Imaging Graph.
Chuyang Ye, Jerry L. Prince
2016 J jnl
Automated cerebellar lobule segmentation with application to cerebellar structural analysis in cerebellar disease.
NeuroImage
Zhen Yang, Chuyang Ye, John A. Bogovic, Aaron Carass, Bruno M. Jedynak, Sarah H. Ying, Jerry L. Prince
2016 J jnl
Estimation of Fiber Orientations Using Neighborhood Information.
CoRR
Chuyang Ye, Jiachen Zhuo, Rao P. Gullapalli, Jerry L. Prince
2016 J jnl
Estimation of fiber orientations using neighborhood information.
Medical Image Anal.
Chuyang Ye, Jiachen Zhuo, Rao P. Gullapalli, Jerry L. Prince
2016 — conf
Fiber Orientation Estimation Using Nonlocal and Local Information.
MICCAI (1)
Chuyang Ye
2016 B conf
Quality assurance using outlier detection on an automatic segmentation method for the cerebellar peduncles.
Image Processing
Ke Li, Chuyang Ye, Zhen Yang, Aaron Carass, Sarah H. Ying, Jerry L. Prince
2015 J jnl
A Bayesian approach to distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging.
Comput. Medical Imaging Graph.
Chuyang Ye, Emi Z. Murano, Maureen L. Stone, Jerry L. Prince
2015 — conf
Probabilistic fiber tracking using a modified Lasso bootstrap method.
ISBI
Chuyang Ye, Jeffrey Glaister, Jerry L. Prince
2015 B conf
Relating speech production to tongue muscle compressions using tagged and high-resolution magnetic resonance imaging.
Image Processing
Fangxu Xing, Chuyang Ye, Jonghye Woo, Maureen L. Stone, Jerry L. Prince
2015 J jnl
Segmentation of the Cerebellar Peduncles Using a Random Forest Classifier and a Multi-object Geometric Deformable Model: Application to Spinocerebellar Ataxia Type 6.
Neuroinformatics
Chuyang Ye, Zhen Yang, Sarah H. Ying, Jerry L. Prince
2014 — conf
A Bayesian Approach to Distinguishing Interdigitated Muscles in the Tongue from Limited Diffusion Weighted Imaging.
BAMBI
Chuyang Ye, Aaron Carass, Emi Z. Murano, Maureen L. Stone, Jerry L. Prince
2014 — conf
Automatic Method for Thalamus Parcellation Using Multi-modal Feature Classification.
MICCAI (3)
Joshua V. Stough, Jeffrey Glaister, Chuyang Ye, Sarah H. Ying, Jerry L. Prince, Aaron Carass
2014 — conf
Improved mass detection in 3D automated breast ultrasound using region based features and multi-view information.
EMBC
Chuyang Ye, Vivek Vaidya, Fei Zhao
2013 B conf
Parcellation of the thalamus using diffusion tensor images and a multi-object geometric deformable model.
Image Processing
Chuyang Ye, John A. Bogovic, Sarah H. Ying, Jerry L. Prince
2013 — conf
Segmentation of the complete superior cerebellar peduncles using a multi-object geometric deformable model.
ISBI
Chuyang Ye, John A. Bogovic, Sarah H. Ying, Jerry L. Prince
2013 — conf
Thalamic parcellation from multi-modal data using random forest learning.
ISBI
Joshua V. Stough, Chuyang Ye, Sarah H. Ying, Jerry L. Prince
2012 — conf
A fiber tracking method guided by volumetric tract segmentation.
MMBIA
Chuyang Ye, Pierre-Louis Bazin, Sarah H. Ying, Jerry L. Prince
2012 — conf
Fully automatic segmentation of the dentate nucleus using diffusion weighted images.
ISBI
Chuyang Ye, John A. Bogovic, Pierre-Louis Bazin, Jerry L. Prince, Sarah H. Ying
2012 B conf
Labeling of the cerebellar peduncles using a supervised Gaussian classifier with volumetric tract segmentation.
Image Processing
Chuyang Ye, Pierre-Louis Bazin, John A. Bogovic, Sarah H. Ying, Jerry L. Prince
2011 J jnl
Direct segmentation of the major white matter tracts in diffusion tensor images.
NeuroImage
Pierre-Louis Bazin, Chuyang Ye, John A. Bogovic, Navid Shiee, Daniel S. Reich, Jerry L. Prince, Dzung L. Pham