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个人简介
Appointed the Dixie Lee Boney Soo Distinguished Professor of Neurological Medicine in 2011, Professor Lin is also Professor of Radiology, Neurology, Biomedical Engineering and Pharmacy at the University, and serves as Vice-Chair of Basic Research within its Department of Radiology. He was elected as a Fellow of the American Institute for Medical and Biological Engineering in 2012, Research Fellow of American Society of Neuroradiology in 2012, and distinguished Investigator of the Academy for Radiology and Biomedical Imaging Research Council in 2018, and has served on numerous National Institutes of Health (NIH) study sections as a regular or ad hoc member over the past 30 years.
Professor Lin has published more than 300 peer-reviewed articles with research interests focused on early brain functional and structural development, discerning cerebral haemodynamics and oxygen metabolism in patients with neurologic diseases, and technical development of hybrid positron emission tomography/magnetic resonance imaging approaches. He is the contact Principal Investigator for ongoing research on delineating early brain functional and structural development using non-invasive imaging approaches. For this research, awarded by the NIH Baby Connectome Project, his team has developed imaging protocols, imaging approaches and novel image analysis tools specifically tailored for analysing early brain development
Professor Lin has published more than 300 peer-reviewed articles with research interests focused on early brain functional and structural development, discerning cerebral haemodynamics and oxygen metabolism in patients with neurologic diseases, and technical development of hybrid positron emission tomography/magnetic resonance imaging approaches. He is the contact Principal Investigator for ongoing research on delineating early brain functional and structural development using non-invasive imaging approaches. For this research, awarded by the NIH Baby Connectome Project, his team has developed imaging protocols, imaging approaches and novel image analysis tools specifically tailored for analysing early brain development
研究兴趣
论文共 644 篇作者统计合作学者相似作者
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MACHINE LEARNING IN MEDICAL IMAGING, MLMI 2023, PT I (2024): 1-11
CoRR (2024)
引用0浏览0EI引用
0
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Neural Networks (2024): 106230-106230
Ann M. Alex,Fernando Aguate,Kelly Botteron,Claudia Buss,Yap-Seng Chong, Stephen R. Dager,Kirsten A. Donald,Sonja Entringer,Damien A. Fair,Marielle V. Fortier,Nadine Gaab,John H. Gilmore,
Nature Neuroscienceno. 1 (2024): 176-186
AMERICAN JOURNAL OF NEURORADIOLOGYno. 2 (2024): 218-223
Nature Communicationsno. 1 (2023): 1-12
The American journal of clinical nutrition (2023): S61-S86
引用9浏览0WOS引用
9
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Carolina Digital Repository (University of North Carolina at Chapel Hill) (2023)
引用1浏览0引用
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MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT VIII (2023): 369-379
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