Professor | Liang Li | Asia Growth Partners

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Name	Liang Li
Contact Information	liliang_082@163.com
Language ability	English, Chinese
Province	Hubei

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Name

Liang Li

Contact Information

liliang_082@163.com

Language ability

English, Chinese

Province

Hubei

University/Lab Affiliation and Title	Wuhan University
Faculty	Medical School
Academic Background & Achievements	2006-2009 Bachelor in Medical Imaging, Chengde Medical College 2009-2011 Master in Imaging Medicine and Nuclear Medicine, Wuhan University First Clinical College 2012-2015 PhD in Imaging Medicine and Nuclear Medicine, Tongji Medical College, Huazhong University of Science and Technology Visiting Scholar at University of California, San Diego Fifth round of young key talents at Renmin Hospital of Wuhan University
Work Experience	2011.07-2012.08 Radiology Department, Wuhan Children's Hospital, Resident Physician 2015.07-2015.11 Radiology Department, Renmin Hospital of Wuhan University, Physician 2015.12-2019.10 Radiology Department, Renmin Hospital of Wuhan University, Attending Physician 2018.06-2019.07 Radiology Department, University of California, San Diego, Visiting Scholar 2019.11-present Radiology Department, Renmin Hospital of Wuhan University, Associate Chief Physician 2022.10-present Radiology Department, Renmin Hospital of Wuhan University, Deputy Director, Associate Professor 2023.06-present Radiology Department, Renmin Hospital of Wuhan University, Master Tutor
Awards	2022 Hubei Province Science and Technology Progress Second Prize: Precision Imaging Diagnosis Key Technology System Construction and Application for Diabetic Musculoskeletal Disorders

University/Lab Affiliation and Title

Wuhan University

Faculty

Medical School

Academic Background & Achievements

2006-2009 Bachelor in Medical Imaging, Chengde Medical College
2009-2011 Master in Imaging Medicine and Nuclear Medicine, Wuhan University First Clinical College
2012-2015 PhD in Imaging Medicine and Nuclear Medicine, Tongji Medical College, Huazhong University of Science and Technology
Visiting Scholar at University of California, San Diego
Fifth round of young key talents at Renmin Hospital of Wuhan University

Work Experience

2011.07-2012.08 Radiology Department, Wuhan Children's Hospital, Resident Physician
2015.07-2015.11 Radiology Department, Renmin Hospital of Wuhan University, Physician
2015.12-2019.10 Radiology Department, Renmin Hospital of Wuhan University, Attending Physician
2018.06-2019.07 Radiology Department, University of California, San Diego, Visiting Scholar
2019.11-present Radiology Department, Renmin Hospital of Wuhan University, Associate Chief Physician
2022.10-present Radiology Department, Renmin Hospital of Wuhan University, Deputy Director, Associate Professor
2023.06-present Radiology Department, Renmin Hospital of Wuhan University, Master Tutor

Awards

2022 Hubei Province Science and Technology Progress Second Prize: Precision Imaging Diagnosis Key Technology System Construction and Application for Diabetic Musculoskeletal Disorders

Areas of Focus	Clinical and Imaging of Prostate Diseases Medical Imaging Artificial Intelligence
Publications	Development and multicenter validation of a CT-based radiomics signature for predicting severe COVID-19 pneumonia, Li L, Wang L, Zeng F, Peng G, Ke Z, Liu H, Zha Y, 2021 3D UTE bicomponent imaging of cortical bone using a soft-hard composite pulse for excitation, Li L, Chen Y, Wei Z, Cai Z, Jerban S, Zha Y, Ma YJ, 2021 Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19, Wu Q, Wang S, Li L, Wu Q, Qian W, Hu Y, Li L, Zhou X, Ma H, Li H, Wang M, Qiu X, Zha Y, Tian J, 2020 On the fat saturation effect in quantitative ultrashort TE MR imaging, Chen Y, Li L, Le N, Chang EY, Huang W, Ma YJ, 2022 Microvascular Permeability and Texture Analysis of the Skeletal Muscle of Diabetic Rabbits With Critical Limb Ischaemia Based on DCE-MRI, Yang Q, Li L, Zha Y, Yan Y, Xing D, Liu H, Yang L, Peng L, Zhang Y, 2022 Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics, Li C, Dong D, Li L, Gong W, Li X, Bai Y, Wang M, Hu Z, Zha Y, Tian J, 2020 Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study, Wu X, Hui H, Niu M, Li L, Wang L, He B, Yang X, Li L, Li H, Tian J, Zha Y, 2020 A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study, Meng L, Dong D, Li L, Niu M, Bai Y, Wang M, Qiu X, Zha Y, Tian J, 2020 A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients with Underlying Health Conditions: A Multicenter Study, Wang S, Dong D, Li L, Li H, Bai Y, Hu Y, Huang Y, Yu X, Liu S, Qiu X, Lu L, Wang M, Zha Y, Tian J, 2021 Quantitative Aortic Distensibility Measurement Using CT in Patients with Abdominal Aortic Aneurysm: Reproducibility and Clinical Relevance, Zha Y, Peng G, Li L, Yang C, Lu X, Peng Z, 2017 Feasibility Study of 3-T DWI of the Prostate: Readout-Segmented Versus Single-Shot Echo-Planar Imaging, Li L, Wang L, Deng M, Liu H, Cai J, Sah VK, Liu J, 2015 Correlation of gleason scores with magnetic resonance diffusion tensor imaging in peripheral zone prostate cancer, Li L, Margolis DJ, Deng M, Cai J, Yuan L, Feng Z, Min X, Hu Z, Hu D, Liu J, Wang L, 2015 Prostate cancer magnetic resonance imaging (MRI): multidisciplinary standpoint, Li L, Wang L, Feng Z, Hu Z, Wang G, Yuan X, Wang H, Hu D, 2013 MRI定量评价直肠扩张对前列腺T2WI及DWI图像质量的影响, 李亮, 曾菲菲, 龚威, 胡磊, 黄冬杰, 刘昌盛, 查云飞, 2020 低剂量CT在妊娠合并新型冠状病毒肺炎中的应用, 李亮, 王莉, 曾菲菲, 刘芳, 彭宙锋, 谢宝君, 刘昌盛, 查云飞, 2020

Areas of Focus

Clinical and Imaging of Prostate Diseases
Medical Imaging Artificial Intelligence

Publications

Development and multicenter validation of a CT-based radiomics signature for predicting severe COVID-19 pneumonia, Li L, Wang L, Zeng F, Peng G, Ke Z, Liu H, Zha Y, 2021
3D UTE bicomponent imaging of cortical bone using a soft-hard composite pulse for excitation, Li L, Chen Y, Wei Z, Cai Z, Jerban S, Zha Y, Ma YJ, 2021
Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19, Wu Q, Wang S, Li L, Wu Q, Qian W, Hu Y, Li L, Zhou X, Ma H, Li H, Wang M, Qiu X, Zha Y, Tian J, 2020
On the fat saturation effect in quantitative ultrashort TE MR imaging, Chen Y, Li L, Le N, Chang EY, Huang W, Ma YJ, 2022
Microvascular Permeability and Texture Analysis of the Skeletal Muscle of Diabetic Rabbits With Critical Limb Ischaemia Based on DCE-MRI, Yang Q, Li L, Zha Y, Yan Y, Xing D, Liu H, Yang L, Peng L, Zhang Y, 2022
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics, Li C, Dong D, Li L, Gong W, Li X, Bai Y, Wang M, Hu Z, Zha Y, Tian J, 2020
Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study, Wu X, Hui H, Niu M, Li L, Wang L, He B, Yang X, Li L, Li H, Tian J, Zha Y, 2020
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study, Meng L, Dong D, Li L, Niu M, Bai Y, Wang M, Qiu X, Zha Y, Tian J, 2020
A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients with Underlying Health Conditions: A Multicenter Study, Wang S, Dong D, Li L, Li H, Bai Y, Hu Y, Huang Y, Yu X, Liu S, Qiu X, Lu L, Wang M, Zha Y, Tian J, 2021
Quantitative Aortic Distensibility Measurement Using CT in Patients with Abdominal Aortic Aneurysm: Reproducibility and Clinical Relevance, Zha Y, Peng G, Li L, Yang C, Lu X, Peng Z, 2017
Feasibility Study of 3-T DWI of the Prostate: Readout-Segmented Versus Single-Shot Echo-Planar Imaging, Li L, Wang L, Deng M, Liu H, Cai J, Sah VK, Liu J, 2015
Correlation of gleason scores with magnetic resonance diffusion tensor imaging in peripheral zone prostate cancer, Li L, Margolis DJ, Deng M, Cai J, Yuan L, Feng Z, Min X, Hu Z, Hu D, Liu J, Wang L, 2015
Prostate cancer magnetic resonance imaging (MRI): multidisciplinary standpoint, Li L, Wang L, Feng Z, Hu Z, Wang G, Yuan X, Wang H, Hu D, 2013
MRI定量评价直肠扩张对前列腺T2WI及DWI图像质量的影响, 李亮, 曾菲菲, 龚威, 胡磊, 黄冬杰, 刘昌盛, 查云飞, 2020
低剂量CT在妊娠合并新型冠状病毒肺炎中的应用, 李亮, 王莉, 曾菲菲, 刘芳, 彭宙锋, 谢宝君, 刘昌盛, 查云飞, 2020

Prostate Clinical Imaging Diagnosis Treatment Mri Ct Ultrasound Radiology Healthcare Ai Machine Learning Deep Learning Radiomics Diagnostics Technology Data Analysis Automation

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