Professor | 李亮 | 数字化转型顾问

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Name	李亮
Contact Information	liliang_082@163.com
Language ability	英语, 汉语
Province	湖北省

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Name

李亮

Contact Information

liliang_082@163.com

Language ability

英语, 汉语

Province

湖北省

University/Lab Affiliation and Title	武汉大学
Faculty	Medical School
Academic Background & Achievements	2006-2009 承德医学院，医学影像学，学士学位 2009-2011 武汉大学第一临床学院，影像医学与核医学，硕士学位 2012-2015 华中科技大学同济医学院附属同济医院，影像医学与核医学，博士学位美国加州大学圣迭戈分校访问学者武汉大学人民医院第五轮青年重点人才
Work Experience	2011.07-2012.08 武汉市儿童医院放射科，住院医师 2015.07-2015.11 武汉大学人民医院放射科，医师 2015.12-2019.10 武汉大学人民医院放射科，主治医师 2018.06-2019.07 美国加州大学圣迭戈分校放射学系，访问学者 2019.11-至今武汉大学人民医院放射科，副主任医师 2022.10-至今武汉大学人民医院放射科，科副主任、副教授 2023.06-至今武汉大学人民医院放射科，硕士生导师
Awards	2022年湖北省科技进步二等奖：糖尿病骨肌病变精准影像诊断关键技术体系构建及应用

University/Lab Affiliation and Title

武汉大学

Faculty

Medical School

Academic Background & Achievements

2006-2009 承德医学院，医学影像学，学士学位
2009-2011 武汉大学第一临床学院，影像医学与核医学，硕士学位
2012-2015 华中科技大学同济医学院附属同济医院，影像医学与核医学，博士学位
美国加州大学圣迭戈分校访问学者
武汉大学人民医院第五轮青年重点人才

Work Experience

2011.07-2012.08 武汉市儿童医院放射科，住院医师
2015.07-2015.11 武汉大学人民医院放射科，医师
2015.12-2019.10 武汉大学人民医院放射科，主治医师
2018.06-2019.07 美国加州大学圣迭戈分校放射学系，访问学者
2019.11-至今武汉大学人民医院放射科，副主任医师
2022.10-至今武汉大学人民医院放射科，科副主任、副教授
2023.06-至今武汉大学人民医院放射科，硕士生导师

Awards

2022年湖北省科技进步二等奖：糖尿病骨肌病变精准影像诊断关键技术体系构建及应用

Areas of Focus	前列腺疾病临床与影像医学影像人工智能
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-Seg

Areas of Focus

前列腺疾病临床与影像
医学影像人工智能

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-Seg

前列腺临床影像诊断治疗 Mri Ct 超声放射医疗 Ai 机器学习深度学习影像组学技术数据分析自动化

廖美焱 - 武汉大学

Area of Focus
心胸 | 影像 | 诊断 | Ct | 活检 | 技术 | 肺 | 癌症 | 分子 | 病理

陈军 - 武汉大学

谢宝君 - 武汉大学

Area of Focus
放射学 | 成像 | 诊断 | 腹部 | Ct | Mri | Dr | 临床 | 解剖 | 病理

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