Hui Xue
Principal Researcher
About
I am an active researcher and developer in deep learning for vision, imaging and biomedicine signal processing. I am passionate about working at the cross-section of signal processing, imaging and deep learning to break the physics limitation. The goal is to achieve super imaging capacity for faster acquisition, higher resolution and better image quality by developing new methods and cutting-edge imaging models.
The AI solutions I developed had been deployed to more than 80 hospitals globally and used daily to help clinicians and patients. I had published extensively for more than 100 peer-reviewed papers. I was co-awarded the Orloff Innovations Award in 2016 and 2020 by the Division of Intramural Research, NHLBI, for developing high performance image reconstruction software and for developing and deploying AI cardiac perfusion quantification. I am a Fellow of the Society for Cardiovascular Magnetic Resonance (FSCMR) since 2018 and a Fellow of European Society of Cardiology (FESC) since 2025. I am serving as editors and regular reviewers for several research journals. I have a google scholar citation >9K and h-index 50. I am the inventor or co-inventor of 15 US patents.
May 2024 – present Principal Researcher, Microsoft Research, Health Futures
Sep 2023 – May 2024 Director, Office of AI Research, Division of Intramural Research, National Heart, Lung and Blood Institute, NIH
Jan 2013 – Sep 2023 Staff Scientist, NHLBI, NIH
May 2008 – Jan 2013 Research Scientist, Siemens Corporate Research
April 2007 – Oct 2007 Research Intern, Siemens Corporate Research
Sep 2004 – Oct 2008 PhD, Imperial College London