Publications by authors named "Yu-Chuan Hu"

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Predicting the risk grades of thymic epithelial tumours using T1 mapping and diffusion-weighted MRI.
Jiang-Tao Lan, Chen-Xi Liu, Jie Zhang, Yu-Hui Ma, Gang Xiao, Shu-Mei Wang, Yu-Chuan Hu

Br J Radiol· June 2025

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IDEAL-IQ Magnetic Resonance Imaging Fat Fraction Quantification in Distinguishing Thymic Hyperplasia From Low-Risk Thymoma and Thymic Lymphoma in Adulthood: A Reliability and Efficacy Analysis.
Jie Zhang, Xiu-Long Feng, Yu-Hui Ma, Jiang-Tao Lan, Shu-Mei Wang, Yu-Chuan Hu

J Comput Assist Tomogr· May 2025

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Risk factor analysis for major mediastinal vessel invasion in thymic epithelial tumors based on multi-slice CT Imaging.
Yu-Hui Ma, Jie Zhang, Wei-Qiang Yan, Jiang-Tao Lan, Xiu-Long Feng, Shu-Mei Wang, Yu-Chuan Hu

Front Oncol· September 2023

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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 study.
Xiu-Long Feng, Sheng-Zhong Wang, Hao-Han Chen, Yu-Xiang Huang, Yong-Kang Xin, Yu-Chuan Hu

Lung Cancer· April 2022

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Predicting Subtype of Growth Hormone Pituitary Adenoma based on Magnetic Resonance Imaging Characteristics.
Chen-Xi Liu, Sheng-Zhong Wang, Li-Jun Heng, Yu Han, Yu-Hui Ma, Yu-Chuan Hu

J Comput Assist Tomogr· February 2022

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Differentiating thymoma, thymic carcinoma and lymphoma based on collagen fibre patterns with T2- and diffusion-weighted magnetic resonance imaging.
Yu-Chuan Hu, Wei-Qiang Yan, Lin-Feng Yan, Gang Xiao, Yu Han, Shu-Mei Wang

Eur Radiol· January 2022

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Usefulness of the Texture Signatures Based on Multiparametric MRI in Predicting Growth Hormone Pituitary Adenoma Subtypes.
Chen-Xi Liu, Li-Jun Heng, Yu Han, Sheng-Zhong Wang, Lin-Feng Yan, Yu-Chuan Hu

Front Oncol· July 2021

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Classification of Prostate Transitional Zone Cancer and Hyperplasia Using Deep Transfer Learning From Disease-Related Images.
Bo Hu, Lin-Feng Yan, Yang Yang, Ying Yu, Qian Sun, Yu-Chuan Hu

Cureus· March 2021

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MR imaging of thymomas: a combined radiomics nomogram to predict histologic subtypes.
Gang Xiao, Yu-Chuan Hu, Jia-Liang Ren, Peng Qin, Jia-Cheng Han, Shu-Mei Wang

Eur Radiol· January 2021

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Distinguishing brain inflammation from grade II glioma in population without contrast enhancement: a radiomics analysis based on conventional MRI.
Yu Han, Yang Yang, Zhe-Sheng Shi, An-Ding Zhang, Lin-Feng Yan, Yu-Chuan Hu

Eur J Radiol· January 2021

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MRI Radiomics Analysis for Predicting the Pathologic Classification and TNM Staging of Thymic Epithelial Tumors: A Pilot Study.
Gang Xiao, Wei-Cheng Rong, Yu-Chuan Hu, Zhong-Qiang Shi, Yang Yang

AJR Am J Roentgenol· February 2020

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Better efficacy in differentiating WHO grade II from III oligodendrogliomas with machine-learning than radiologist's reading from conventional T1 contrast-enhanced and fluid attenuated inversion recovery images.
Sha-Sha Zhao, Xiu-Long Feng, Yu-Chuan Hu, Yu Han, Qiang Tian, Shu-Ning Shen

BMC Neurol· February 2020

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Can the low and high b-value distribution influence the pseudodiffusion parameter derived from IVIM DWI in normal brain?
Yu-Chuan Hu, Lin-Feng Yan, Yu Han, Shi-Jun Duan, Qian Sun

BMC Med Imaging· February 2020

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Disturbed neurovascular coupling in type 2 diabetes mellitus patients: Evidence from a comprehensive fMRI analysis.
Bo Hu, Lin-Feng Yan, Qian Sun, Ying Yu, Jin Zhang, Yu-Chuan Hu, Chun-Ni Heng, Chang-Hua Shao

Neuroimage Clin· January 2020

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Multi-modal MRI Reveals the Neurovascular Coupling Dysfunction in Chronic Migraine.
Bo Hu, Ying Yu, Yu-Jie Dai, Jia-Hao Feng, Lin-Feng Yan, Yu-Chuan Hu

Neuroscience· November 2019

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Perfusion, Diffusion, Or Brain Tumor Barrier Integrity: Which Represents The Glioma Features Best?
Lin-Feng Yan, Ying-Zhi Sun, Sha-Sha Zhao, Yu-Chuan Hu, Yu Han, Bo Hu, Teng-Hui Han

Cancer Manag Res· November 2019

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Predicting pathological subtypes and stages of thymic epithelial tumors using DWI: value of combining ADC and texture parameters.
Bo Li, Yong-Kang Xin, Gang Xiao, Gang-Feng Li, Shi-Jun Duan, Shu-Mei Wang, Yu-Chuan Hu

Eur Radiol· October 2019

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Neurovascular decoupling in type 2 diabetes mellitus without mild cognitive impairment: Potential biomarker for early cognitive impairment.
Ying Yu, Lin-Feng Yan, Qian Sun, Bo Hu, Jin Zhang, Yu-Chuan Hu, Chun-Ni Heng, Teng-Hui Han

Neuroimage· October 2019

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Optimizing Texture Retrieving Model for Multimodal MR Image-Based Support Vector Machine for Classifying Glioma.
Yang Yang, Lin-Feng Yan, Xin Zhang, Hai-Yan Nan, Yu-Chuan Hu

J Magn Reson Imaging· May 2019

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Radiomics strategy for glioma grading using texture features from multiparametric MRI.
Qiang Tian, Lin-Feng Yan, Xi Zhang, Xin Zhang, Yu-Chuan Hu, Bo Hu, Shuai Tian

J Magn Reson Imaging· December 2018

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Incidence and clinical variable inter-relationships of thymic epithelial tumors in northwest China.
Xiu-Long Feng, Xue-Bin Lei, Wen-Ting Dong, Lin-Feng Yan, Yong-Kang Xin, Yu-Chuan Hu

J Thorac Dis· December 2018

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Iodine Quantification Using Dual-Energy Computed Tomography for Differentiating Thymic Tumors.
Wei-Qiang Yan, Yong-Kang Xin, Yong Jing, Gang-Feng Li, Shu-Mei Wang, Yu-Chuan Hu

J Comput Assist Tomogr· November 2018

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Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning.
Yang Yang, Lin-Feng Yan, Xin Zhang, Yu Han, Hai-Yan Nan, Yu-Chuan Hu, Bo Hu

Front Neurosci· November 2018

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Structural and functional brain changes in perimenopausal women who are susceptible to migraine: a study protocol of multi-modal MRI trial.
Bo Hu, Xu Wang, Jie-Bing He, Yu-Jie Dai, Jin Zhang, Yu-Chuan Hu

BMC Med Imaging· September 2018

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Alterations of White Matter Integrity and Hippocampal Functional Connectivity in Type 2 Diabetes Without Mild Cognitive Impairment.
Qian Sun, Guan-Qun Chen, Xi-Bin Wang, Ying Yu, Yu-Chuan Hu

Front Neuroanat· March 2018

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