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Fang Liu, Ph.D.

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Biography
University of Wisconsin-Madison, USAAssistant Scientist12/2019Radiology
University of Wisconsin-Madison, USAPh.D.10/2015Medical Physics
University of Western Ontario, CanadaM.Sc.08/2011Medical Biophysics
Sun Yat-Sen University, ChinaB.Sc.10/2008Biomedical Engineering
2019
Magnetic Resonance in Medicine Editor's Pick
2018
ISMRM Junior Fellow Award
2018
The Oral Presentation 1st place, ISMRM Machine Learning Workshop II
2018
Magnetic Resonance in Medicine Distinguished Reviewer
2018
Magnetic Resonance in Medicine Editor's Pick
2017
Journal of Magnetic Resonance Imaging Distinguished Reviewer
2017
OCSMRM Young Investigator Award
2016
ISMRM Merit Award - Magna Cum Laude
2015 - 2017
Clinical Biomechanics Award
2014 - 2019
ISMRM Merit Award - Summa Cum Laude

Overview
Dr. Liu is an Assistant Professor at Harvard Medical School. He is currently working at Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School. His research focuses on medical image acquisition and reconstruction, image analysis and processing, and physiological modeling pertaining to magnetic resonance (MR), molecular, and optical imaging. His recent interest also includes the development of artificial intelligence methods for improving imaging speed and robustness and automating clinical imaging workflow. Before joining Harvard in 2020, Dr. Liu was an Assistant Scientist at Radiology, University of Wisconsin-Madison, from 2015 to 2019, working on translational imaging projects spanning several clinical topics. In 2015, he received his Ph.D. in Medical Physics from the University of Wisconsin-Madison. His research focused on developing new MR pulse sequences and optimizing imaging biomarkers for improved musculoskeletal and neural tissue assessment. In 2011, he received his M.Sc. from Medical Biophysics, Western University, Canada, where his research focused on improving breast MR imaging using machine learning. In 2008, he received B.Sc. in Biomedical Engineering from Sun Yat-sen University, China.

Research
The research activities and funding listed below are automatically derived from NIH ExPORTER and other sources, which might result in incorrect or missing items. Faculty can login to make corrections and additions.
  1. R01AR081344 (LIU, FANG) Jul 15, 2022 - May 31, 2027
    NIAMS
    Rapid Three-dimensional Simultaneous Knee Multi-Relaxation Mapping
    Role: Principle Investigator
  2. R01AR079442 (LIU, FANG) Jun 1, 2022 - May 31, 2027
    NIAMS
    Deep Learning Technology for Rapid Morphological and Quantitative Imaging of Knee Pathology
    Role: Principle Investigator
  3. R21EB031185 (LIU, FANG) Apr 1, 2022 - Dec 31, 2024
    NIBIB
    Deep Learning Reconstruction for Rapid Multi-Component Relaxometry
    Role: Principle Investigator

Featured Content

Bibliographic
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.