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Yu-Chuan Hu

Showing results (21-30 of 38) with videos related to

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BMC Medical Imaging|September 8, 2018
Structural and functional brain changes in perimenopausal women who are susceptible to migraine: a study protocol of multi-modal MRI trialBo Hu, Xu Wang, Jie-Bing He, et al.
Frontiers in Neuroscience|December 1, 2018
Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer LearningYang Yang, Lin-Feng Yan, Xin Zhang, et al.
Frontiers in Neuroanatomy|April 5, 2018
Alterations of White Matter Integrity and Hippocampal Functional Connectivity in Type 2 Diabetes Without Mild Cognitive ImpairmentQian Sun, Guan-Qun Chen, Xi-Bin Wang, et al.
Oncotarget|June 3, 2017
Intravoxel incoherent motion diffusion-weighted MR imaging parameters predict pathological classification in thymic epithelial tumorsGang-Feng Li, Shi-Jun Duan, Lin-Feng Yan, et al.
European Radiology|July 3, 2021
Differentiating thymoma, thymic carcinoma and lymphoma based on collagen fibre patterns with T2- and diffusion-weighted magnetic resonance imagingYu-Chuan Hu, Wei-Qiang Yan, Lin-Feng Yan, et al.
Lung Cancer (Amsterdam, Netherlands)|March 14, 2022
Optimizing the radiomics-machine-learning model based on non-contrast enhanced CT for the simplified risk categorization of thymic epithelial tumors: A large cohort retrospective studyXiu-Long Feng, Sheng-Zhong Wang, Hao-Han Chen, et al.
European Radiology|July 24, 2020
MR imaging of thymomas: a combined radiomics nomogram to predict histologic subtypesGang Xiao, Yu-Chuan Hu, Jia-Liang Ren, et al.
Journal of Magnetic Resonance Imaging : JMRI|January 10, 2019
Optimizing Texture Retrieving Model for Multimodal MR Image-Based Support Vector Machine for Classifying GliomaYang Yang, Lin-Feng Yan, Xin Zhang, et al.
Oncotarget|June 10, 2017
Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture featuresXin Zhang, Lin-Feng Yan, Yu-Chuan Hu, et al.
BMC Cancer|February 23, 2018
Structural and advanced imaging in predicting MGMT promoter methylation of primary glioblastoma: a region of interest based analysisYu Han, Lin-Feng Yan, Xi-Bin Wang, et al.
Pageof 4

Showing results (21-30 of 38) with videos related to

Sort By:
Pageof 4
BMC Medical Imaging|September 8, 2018
Structural and functional brain changes in perimenopausal women who are susceptible to migraine: a study protocol of multi-modal MRI trialBo Hu, Xu Wang, Jie-Bing He, et al.
Frontiers in Neuroscience|December 1, 2018
Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer LearningYang Yang, Lin-Feng Yan, Xin Zhang, et al.
Frontiers in Neuroanatomy|April 5, 2018
Alterations of White Matter Integrity and Hippocampal Functional Connectivity in Type 2 Diabetes Without Mild Cognitive ImpairmentQian Sun, Guan-Qun Chen, Xi-Bin Wang, et al.
Oncotarget|June 3, 2017
Intravoxel incoherent motion diffusion-weighted MR imaging parameters predict pathological classification in thymic epithelial tumorsGang-Feng Li, Shi-Jun Duan, Lin-Feng Yan, et al.
European Radiology|July 3, 2021
Differentiating thymoma, thymic carcinoma and lymphoma based on collagen fibre patterns with T2- and diffusion-weighted magnetic resonance imagingYu-Chuan Hu, Wei-Qiang Yan, Lin-Feng Yan, et al.
Lung Cancer (Amsterdam, Netherlands)|March 14, 2022
Optimizing the radiomics-machine-learning model based on non-contrast enhanced CT for the simplified risk categorization of thymic epithelial tumors: A large cohort retrospective studyXiu-Long Feng, Sheng-Zhong Wang, Hao-Han Chen, et al.
European Radiology|July 24, 2020
MR imaging of thymomas: a combined radiomics nomogram to predict histologic subtypesGang Xiao, Yu-Chuan Hu, Jia-Liang Ren, et al.
Journal of Magnetic Resonance Imaging : JMRI|January 10, 2019
Optimizing Texture Retrieving Model for Multimodal MR Image-Based Support Vector Machine for Classifying GliomaYang Yang, Lin-Feng Yan, Xin Zhang, et al.
Oncotarget|June 10, 2017
Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture featuresXin Zhang, Lin-Feng Yan, Yu-Chuan Hu, et al.
BMC Cancer|February 23, 2018
Structural and advanced imaging in predicting MGMT promoter methylation of primary glioblastoma: a region of interest based analysisYu Han, Lin-Feng Yan, Xi-Bin Wang, et al.
Pageof 4