中南大学
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Home快速高分辨率磁共振成像技术
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磁共振成像速度较慢是长期困扰磁共振领域研究者的痛点问题。过长的扫描时间，不但增加病人的负担，降低舒适度，而且会造成严重的图像伪影。随着近年来AI和深度学习技术的飞速发展，医学大数据的相关技术的突破，给磁共振成像的采集和重建提供了崭新的方向。借助于最前沿的AI技术，进行更为高效率、智能化的扫描并同时保障精准的成像效果、提升图像的质量和临床价值是一个亟待解决的关键科学问题，也是本人的重点研究方向。
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Master's Supervisor
Name: Yang Gao
Name (Pinyin): gaoyang
Sex: Male
School/Department: School of Computer Science and Engineering
Education Level: With Certificate of Graduation for Doctorate Study
Date of Employment: 2022-11-08
Alma Mater: the University of Queensland
Status: Employed
Discipline: artificial intelligence. Computer Science and Technology. Electronic Science and Technology
Enrollment Disciplines: Computer Science and Technology、Electronic Science and Technology、artificial intelligence
