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Yang Hou

China Medical University - Department of Radiology

Shenyang, Liaoning

China

  • China Medical University - Department of Radiology

SCHOLARLY PAPERS

6

DOWNLOADS

455

TOTAL CITATIONS

3

Scholarly Papers (6)

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1.

Development of Fully Automated Models for Staging Liver Fibrosis Using Non-Contrast MRI and Artificial Intelligence: A Retrospective Multicenter Study

Number of pages: 33 Posted: 25 Jun 2024
Chunli Li, Yuan Wang, Ruobing Bai, Zhiyong Zhao, Wenjuan Li, Qianqian Zhang, Chaoya Zhang, Wei Yang, Qi Liu, Na Su, Yueyue Lu, Xiaoli Yin, Fan Wang, Chengli Gu, Aoran Yang, Baihe Luo, Minghui Zhou, Liuhanxu Shen, Chen Pan, Zhiying Wang, Qijun Wu, Jiandong Yin, Yang Hou and Yu Shi
China Medical University - Department of Radiology, Dalian University of Technology - Liaoning Cancer Institute and Hospital, China Medical University - Department of Radiology, Shandong First Medical University, Qingdao University - Department of Radiology, Qingdao University - Department of Radiology, Huazhong University of Science and Technology - Hubei Cancer Hospital, Dalian University of Technology - Liaoning Cancer Institute and Hospital, Baotou Medical College, Government of the People's Republic of China - Sixth People's Hospital of Shenyang, China Medical University - Department of Radiology, China Medical University - Department of Radiology, China Medical University - Department of Radiology, China Medical University - Department of Radiology, China Medical University - Department of Radiology, China Medical University - Department of Radiology, China Medical University - Department of Radiology, China Medical University - Department of Radiology, China Medical University - Department of Radiology, China Medical University - Department of Radiology, China Medical University, China Medical University - Department of Radiology, China Medical University - Department of Radiology and China Medical University - Department of Radiology
Downloads 90 (747,755)

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Liver Fibrosis, Non-Contrast MRI, Artificial Intelligence, Multicenter Study

2.

A Novel Method of Noninvasive Quantification of Fractional Flow Reserve Based on Computational Fluid Dynamics

Number of pages: 35 Posted: 26 Mar 2022
Honghui Zhang, Rile Wu, Gaoyang Li, Qianwen Hou, Jinjie Xie, Yang Hou and Aike Qiao
Beijing University of Technology, Inner Mongolia Minzu University, Tohoku University, Beijing University of Technology, Jiahui International Hospital, China Medical University - Department of Radiology and Beijing University of Technology
Downloads 90 (742,061)

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fractional flow reserve, noninvasive quantification, coronary stenosis, computation fluid dynamics, myocardial ischemia, computed tomography angiography

3.

Artificial Intelligence Based  Fully-Automated One-Click On-Site CT-Derived Fractional Flow Reserve: A Stepwise Development and Validation from Multicohort China CT-FFR Studies

Number of pages: 47 Posted: 24 May 2023
Bang Jun Guo, Meng Chun Jiang, Xiang Guo, Chun Xiang Tang, Jian Zhong, Meng Jie Lu, Chun Yu Liu, Xiao Lei Zhang, Hong Yan Qiao, Fan Zhou, Peng Peng Xu, Yi Xue, Minwen Zheng, Yang Hou, Yi Ning Wang, Jiayin Zhang, Bo Zhang, Dai Min Zhang, Lei Xu, Xiu Hua Hu, Chang Sheng Zhou, Jian Hua Li, Zhi Wen Yang, Xin Sheng Mao, Guangming Lu and Longjiang Zhang
Nanjing University - Department of Radiology, Jining Medical University - Department of Radiology, Nanjing University - Department of Radiology, Nanjing University - Department of Radiology, Nanjing University - Department of Radiology, Nanjing University - Department of Radiology, Nanjing University - Department of Radiology, Nanjing University - Department of Radiology, Nanjing University - Department of Radiology, Nanjing University - Department of Radiology, Nanjing University - Department of Radiology, Nanjing University - Department of Radiology, Government of the People's Republic of China - Department of Clinical Immunology, China Medical University - Department of Radiology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Department of Radiation Oncology, Shanghai Jiao Tong University (SJTU) - Institute of Diagnostic and Interventional Radiology, Jiangsu Taizhou People's Hospital - Department of Radiology, Nanjing Medical University - Department of Cardiology, Capital Medical University - Department of Radiology, Zhejiang University - Shaoyifu Hospital, Nanjing University - Department of Radiology, Nanjing University - Department of Cardiology, Shukun (Beijing) Network Technology Co., Ltd., Shukun (Beijing) Network Technology Co., Ltd., Nanjing University - Department of Radiology and Nanjing University - Department of Radiology
Downloads 87 (771,553)

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fully-automated, one-click, on-site, CT-FFR, myocadial ischemia, outcomes

4.

Few-Shot Small Vessel Segmentation Using a Detail-Preserving Network Enhanced by Discriminator

Number of pages: 13 Posted: 09 Dec 2024
Yan Huang, Jinzhu Yang, Qi Sun, Yuliang Yuan, Yang Hou and Jin Shang
Northeastern University (USA), Northeastern University (USA), Northeastern University (USA), Northeastern University (USA), China Medical University - Department of Radiology and affiliation not provided to SSRN
Downloads 80 (816,709)

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Few-shot learning, Vessel segmentation, Dilated convolutions, Adversarial learning, Semi-supervised

5.

Artificial Intelligence Based Fully-Automated One-Click On-Site CT-Derived Fractional Flow Reserve: A Stepwise Development and Validation from Multicohort China CT-FFR Studies

Number of pages: 47 Posted: 22 May 2023
Bang Jun Guo, Meng Chun Jiang, Xiang Guo, Chun Xiang Tang, Jian Zhong, Meng Jie Lu, Chun Yu Liu, Xiao Lei Zhang, Hong Yan Qiao, Fan Zhou, Peng Peng Xu, Yi Xue, Minwen Zheng, Yang Hou, Yi Ning Wang, Jiayin Zhang, Bo Zhang, Dai Min Zhang, Lei Xu, Xiu Hua Hu, Chang Sheng Zhou, Jian Hua Li, Xin Sheng Mao, Zhi Wen Yang, Guangming Lu and Longjiang Zhang
Nanjing University - Department of Radiology, Jining Medical University - Department of Radiology, Nanjing University - Department of Radiology, Nanjing University - Department of Radiology, Nanjing University - Department of Radiology, Nanjing University - Department of Radiology, Nanjing University - Department of Radiology, Nanjing University - Department of Radiology, Nanjing University - Department of Radiology, Nanjing University - Department of Radiology, Nanjing University - Department of Radiology, Nanjing University - Department of Radiology, Government of the People's Republic of China - Department of Clinical Immunology, China Medical University - Department of Radiology, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Department of Radiation Oncology, Shanghai Jiao Tong University (SJTU) - Institute of Diagnostic and Interventional Radiology, Jiangsu Taizhou People's Hospital - Department of Radiology, Nanjing Medical University - Department of Cardiology, Capital Medical University - Department of Radiology, Zhejiang University - Shaoyifu Hospital, Nanjing University - Department of Radiology, Nanjing University - Department of Cardiology, Shukun (Beijing) Network Technology Co., Ltd., Shukun (Beijing) Network Technology Co., Ltd., Nanjing University - Department of Radiology and Nanjing University - Department of Radiology
Downloads 68 (907,769)
Citation 3

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fully-automated, one-click, on-site, CT-FFR, myocardial ischemia

6.

A Novel Input Data for Predicting Fractional Flow Reserve Based on Multiple Independent Risk Factors

Number of pages: 45 Posted: 22 Mar 2023
Honghui Zhang, Rile Wu, Hongbo Ma, Na Li, Qianwen Hou, Xiaorui Song, Jinjie Xie, Yang Hou and Aike Qiao
Beijing University of Technology, Inner Mongolia Minzu University, Tong Liao City Hospital, Beijing University of Technology, Beijing University of Technology, Shandong Academy of Medical Sciences, Jiahui International Hospital, China Medical University - Department of Radiology and Beijing University of Technology
Downloads 40 (1,209,354)

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fractional flow reserve, coronary stenosis, multiple independent risk factors, meta-analysis, improved analytic hierarchy process (IAHP), random forest algorithm