武汉大学人民医院湖北省人民医院

院内导航

李亮放射
放射科副主任，副教授，副主任医师，硕士生导师

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导师介绍

姓名	李亮
出生年月	1983年10月
单位	武汉大学人民医院放射科
所属学科	临床医学-影像医学与核医学（放射）
职务、职称及头衔	放射科副主任，副教授，副主任医师，硕士生导师
E-mail	liliang_082@163.com
联系方式	027-88041911转81474
研究方向	1.前列腺疾病临床与影像 2.医学影像人工智能
个人简介	美国加州大学圣迭戈分校访问学者、人民医院第五轮青年重点人才。以第一作者或通讯作者身份，在《Theranostics》、《IEEE J Biomed Health Inform》、《IEEE/ACM Trans Comput Biol Bioinform》、《European Radiology》等国内外期刊发表论文40余篇。主持国家自然科学基金项目1项，湖北省卫健委面上项目1项，中央高校基本科研业务费项目2项，中华国际医学交流基金会项目1项，参与国家重点研发计划、国家自然科学基金、省应急科技攻关项目等12项。
学术任职与荣誉	中华医学会放射学分会磁共振学组Youth Club委员中国医师协会放射医师分会运动损伤学组委员中国医疗保健国际交流促进会放射学分会委员中国医疗保健国际交流促进会骨质疏松病学分会委员中国医学装备协会磁共振专委会神经骨肌学组委员中华医学会影像技术分会骨密度影像MRI-US学组副组长湖北省临床肿瘤学会放射专委会副主任委员湖北省医学会放射学分会青年学组副组长
教育履历	2006.09-2009.06承德医学院，医学影像学，获学士学位 2009.09-2011.06武汉大学第一临床学院，影像医学与核医学，获硕士学位 2012.09-2015.06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，获博士学位
工作履历	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
成果获奖	《糖尿病骨肌病变精准影像诊断关键技术体系构建及应用》2022年湖北省科技进步二等奖
代表性论著	1. Li L, Wang L, Zeng F, Peng G, Ke Z, Liu H, Zha Y. Development and multicenter validation of a CT-based radiomics signature for predicting severe COVID-19 pneumonia. Eur Radiol. 2021;31(10):7901-7912. 2. Li L, Chen Y, Wei Z, Cai Z, Jerban S, Zha Y, Ma YJ. 3D UTE bicomponent imaging of cortical bone using a soft-hard composite pulse for excitation. Magn Reson Med. 2021;85(3):1581-1589. 3. 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. Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19. Theranostics. 2020;10(16):7231-7244. (共同第一) 4. Chen Y, Li L, Le N, Chang EY, Huang W, Ma YJ. On the fat saturation effect in quantitative ultrashort TE MR imaging. Magn Reson Med. 2022;87(5):2388-2397. (共同第一) 5. Yang Q, Li L, Zha Y, Yan Y, Xing D, Liu H, Yang L, Peng L, Zhang Y. Microvascular Permeability and Texture Analysis of the Skeletal Muscle of Diabetic Rabbits With Critical Limb Ischaemia Based on DCE-MRI. Front Endocrinol (Lausanne). 2022;13:783163. (共同第一) 6. Li C, Dong D, Li L, Gong W, Li X, Bai Y, Wang M, Hu Z, Zha Y, Tian J. Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics. IEEE J Biomed Health Inform. 2020;24(12):3585-3594. (共同第一) 7. Wu X, Hui H, Niu M, Li L, Wang L, He B, Yang X, Li L, Li H, Tian J, Zha Y. Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study. Eur J Radiol. 2020;128:109041. 8. Meng L, Dong D, Li L, Niu M, Bai Y, Wang M, Qiu X, Zha Y, Tian J. A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study. IEEE J Biomed Health Inform. 2020;24(12):3576-3584. (共同第一) 9. 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. A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients with Underlying Health Conditions: A Multicenter Study. IEEE J Biomed Health Inform. 2021;25(7):2353-2362. (共同第一) 10. Zha Y, Peng G, Li L, Yang C, Lu X, Peng Z. Quantitative Aortic Distensibility Measurement Using CT in Patients with Abdominal Aortic Aneurysm: Reproducibility and Clinical Relevance. Biomed Res Int. 2017;2017:5436927. (通讯作者) 11. Li L, Wang L, Deng M, Liu H, Cai J, Sah VK, Liu J. Feasibility Study of 3-T DWI of the Prostate: Readout-Segmented Versus Single-Shot Echo-Planar Imaging. AJR Am J Roentgenol. 2015;205(1):70-6. 12. Li L, Margolis DJ, Deng M, Cai J, Yuan L, Feng Z, Min X, Hu Z, Hu D, Liu J, Wang L. Correlation of gleason scores with magnetic resonance diffusion tensor imaging in peripheral zone prostate cancer. J Magn Reson Imaging. 2015;42(2):460-7. 13. Li L, Wang L, Feng Z, Hu Z, Wang G, Yuan X, Wang H, Hu D. Prostate cancer magnetic resonance imaging (MRI): multidisciplinary standpoint. Quant Imaging Med Surg. 2013;3(2):100-12. 14.李亮, 曾菲菲, 龚威, 胡磊, 黄冬杰, 刘昌盛, 查云飞. MRI定量评价直肠扩张对前列腺T2WI及DWI图像质量的影响. 临床放射学杂志.2020.39(5):945-950. 15. 李亮, 王莉, 曾菲菲, 刘芳, 彭宙锋, 谢宝君, 刘昌盛, 查云飞. 低剂量CT在妊娠合并新型冠状病毒肺炎中的应用. 中华放射医学与防护杂志.2020.40(5):333-337.

Name	LIANG LI
Date of birth	October，1983
Department	Radiology Department，Renmin Hospital of Wuhan University
Title	Deputy Director，Associate Chief Physicion，Associate Professor，Master tutor
Email	liliang_082@163.com
TEL	027-88041911-81474
Research Direction	1. Clinical and Imaging of Prostate Diseases 2. Medical imaging artificial intelligence
Personal Profile	He is a visiting scholar of the University of California, San Diego, and the fifth round of young key talents of the Renmin Hospital of Wuhan University. As the first author or corresponding author, he has published more than 40 papers in domestic and foreign journals such as Theranotics, IEEE J Biomed Health Information, IEEE/ACM Trans Compute Bio information, and European Radiology. He presided over projects funded by the National Natural Science Foundation of China, general projects funded by the Hubei Provincial Health Commission, basic research business expenses projects funded by central universities, and projects funded by the China International Medical Exchange Foundation. He participated in national key research and development programs, the National Natural Science Foundation of China, and provincial emergency science and technology research projects.
Selected Publications	1. Li L, Wang L, Zeng F, Peng G, Ke Z, Liu H, Zha Y. Development and multicenter validation of a CT-based radiomics signature for predicting severe COVID-19 pneumonia. Eur Radiol. 2021;31(10):7901-7912. 2. Li L, Chen Y, Wei Z, Cai Z, Jerban S, Zha Y, Ma YJ. 3D UTE bicomponent imaging of cortical bone using a soft-hard composite pulse for excitation. Magn Reson Med. 2021;85(3):1581-1589. 3. 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. Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19. Theranostics. 2020;10(16):7231-7244. (共同第一) 4. Chen Y, Li L, Le N, Chang EY, Huang W, Ma YJ. On the fat saturation effect in quantitative ultrashort TE MR imaging. Magn Reson Med. 2022;87(5):2388-2397. (共同第一) 5. Yang Q, Li L, Zha Y, Yan Y, Xing D, Liu H, Yang L, Peng L, Zhang Y. Microvascular Permeability and Texture Analysis of the Skeletal Muscle of Diabetic Rabbits With Critical Limb Ischaemia Based on DCE-MRI. Front Endocrinol (Lausanne). 2022;13:783163. (共同第一) 6. Li C, Dong D, Li L, Gong W, Li X, Bai Y, Wang M, Hu Z, Zha Y, Tian J. Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics. IEEE J Biomed Health Inform. 2020;24(12):3585-3594. (共同第一) 7. Wu X, Hui H, Niu M, Li L, Wang L, He B, Yang X, Li L, Li H, Tian J, Zha Y. Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study. Eur J Radiol. 2020;128:109041. 8. Meng L, Dong D, Li L, Niu M, Bai Y, Wang M, Qiu X, Zha Y, Tian J. A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study. IEEE J Biomed Health Inform. 2020;24(12):3576-3584. (共同第一) 9. 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. A Deep Learning Radiomics Model to Identify Poor Outcome in COVID-19 Patients with Underlying Health Conditions: A Multicenter Study. IEEE J Biomed Health Inform. 2021;25(7):2353-2362. (共同第一) 10. Zha Y, Peng G, Li L, Yang C, Lu X, Peng Z. Quantitative Aortic Distensibility Measurement Using CT in Patients with Abdominal Aortic Aneurysm: Reproducibility and Clinical Relevance. Biomed Res Int. 2017;2017:5436927. (通讯作者) 11. Li L, Wang L, Deng M, Liu H, Cai J, Sah VK, Liu J. Feasibility Study of 3-T DWI of the Prostate: Readout-Segmented Versus Single-Shot Echo-Planar Imaging. AJR Am J Roentgenol. 2015;205(1):70-6. 12. Li L, Margolis DJ, Deng M, Cai J, Yuan L, Feng Z, Min X, Hu Z, Hu D, Liu J, Wang L. Correlation of gleason scores with magnetic resonance diffusion tensor imaging in peripheral zone prostate cancer. J Magn Reson Imaging. 2015;42(2):460-7. 13. Li L, Wang L, Feng Z, Hu Z, Wang G, Yuan X, Wang H, Hu D. Prostate cancer magnetic resonance imaging (MRI): multidisciplinary standpoint. Quant Imaging Med Surg. 2013;3(2):100-12. 14.李亮, 曾菲菲, 龚威, 胡磊, 黄冬杰, 刘昌盛, 查云飞. MRI定量评价直肠扩张对前列腺T2WI及DWI图像质量的影响. 临床放射学杂志.2020.39(5):945-950. 15. 李亮, 王莉, 曾菲菲, 刘芳, 彭宙锋, 谢宝君, 刘昌盛, 查云飞. 低剂量CT在妊娠合并新型冠状病毒肺炎中的应用. 中华放射医学与防护杂志.2020.40(5):333-337.