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Chuyang Ye

Showing results (21-30 of 58) with videos related to

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Bayesian and Graphical Models for Biomedical Imaging : First International Workshop, BAMBI 2014, Cambridge, MA, USA, September 18, 2014 ; Revised Selected Papers. BAMBI (Workshop) (1St : 2014 : Cambridge, Mass.)|January 27, 2015
A Bayesian Approach to Distinguishing Interdigitated Muscles in the Tongue from Limited Diffusion Weighted ImagingChuyang Ye, Aaron Carass, Emi Murano, et al.
Medical Image Analysis|November 23, 2020
Super-Resolved q-Space deep learning with uncertainty quantificationYu Qin, Zhiwen Liu, Chenghao Liu, et al.
Medical Image Analysis|May 10, 2021
Multimodal super-resolved q-space deep learningYu Qin, Yuxing Li, Zhizheng Zhuo, et al.
IEEE Journal of Biomedical and Health Informatics|October 23, 2025
Trifocal Transformer: Connection-Mask-Residual Focused Attention Network for Brain Disease DiagnosisBin Wang, Jiarui Liang, Chuyang Ye, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|January 2, 2021
Knowledge transfer between brain lesion segmentation tasks with increased model capacityYanlin Liu, Wenhui Cui, Qing Ha, et al.
Medical Image Analysis|March 29, 2025
An extragradient and noise-tuning adaptive iterative network for diffusion MRI-based microstructural estimationTianshu Zheng, Chuyang Ye, Zhaopeng Cui, et al.
Scientific Reports|December 2, 2020
Using machine learning tools to predict outcomes for emergency department intensive care unit patientsQiangrong Zhai, Zi Lin, Hongxia Ge, et al.
Food & Function|May 18, 2022
The combination of HT-ac and HBET improves the cognitive and learning abilities of heat-stressed mice by maintaining mitochondrial function through the PKA-CREB-BDNF pathwayHongxia Li, Xin Xu, Mengyu Cai, et al.
IEEE Journal of Biomedical and Health Informatics|October 7, 2024
HMDA: A Hybrid Model with Multi-scale Deformable Attention for Medical Image SegmentationMengmeng Wu, Tiantian Liu, Xin Dai, et al.
Proceedings of Spie--The International Society for Optical Engineering|February 17, 2017
Quality Assurance using Outlier Detection on an Automatic Segmentation Method for the Cerebellar PedunclesKe Li, Chuyang Ye, Zhen Yang, et al.
Pageof 6

Showing results (21-30 of 58) with videos related to

Sort By:
Pageof 6
Bayesian and Graphical Models for Biomedical Imaging : First International Workshop, BAMBI 2014, Cambridge, MA, USA, September 18, 2014 ; Revised Selected Papers. BAMBI (Workshop) (1St : 2014 : Cambridge, Mass.)|January 27, 2015
A Bayesian Approach to Distinguishing Interdigitated Muscles in the Tongue from Limited Diffusion Weighted ImagingChuyang Ye, Aaron Carass, Emi Murano, et al.
Medical Image Analysis|November 23, 2020
Super-Resolved q-Space deep learning with uncertainty quantificationYu Qin, Zhiwen Liu, Chenghao Liu, et al.
Medical Image Analysis|May 10, 2021
Multimodal super-resolved q-space deep learningYu Qin, Yuxing Li, Zhizheng Zhuo, et al.
IEEE Journal of Biomedical and Health Informatics|October 23, 2025
Trifocal Transformer: Connection-Mask-Residual Focused Attention Network for Brain Disease DiagnosisBin Wang, Jiarui Liang, Chuyang Ye, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|January 2, 2021
Knowledge transfer between brain lesion segmentation tasks with increased model capacityYanlin Liu, Wenhui Cui, Qing Ha, et al.
Medical Image Analysis|March 29, 2025
An extragradient and noise-tuning adaptive iterative network for diffusion MRI-based microstructural estimationTianshu Zheng, Chuyang Ye, Zhaopeng Cui, et al.
Scientific Reports|December 2, 2020
Using machine learning tools to predict outcomes for emergency department intensive care unit patientsQiangrong Zhai, Zi Lin, Hongxia Ge, et al.
Food & Function|May 18, 2022
The combination of HT-ac and HBET improves the cognitive and learning abilities of heat-stressed mice by maintaining mitochondrial function through the PKA-CREB-BDNF pathwayHongxia Li, Xin Xu, Mengyu Cai, et al.
IEEE Journal of Biomedical and Health Informatics|October 7, 2024
HMDA: A Hybrid Model with Multi-scale Deformable Attention for Medical Image SegmentationMengmeng Wu, Tiantian Liu, Xin Dai, et al.
Proceedings of Spie--The International Society for Optical Engineering|February 17, 2017
Quality Assurance using Outlier Detection on an Automatic Segmentation Method for the Cerebellar PedunclesKe Li, Chuyang Ye, Zhen Yang, et al.
Pageof 6