Fangxu Xing, Ph.D.
Instructor in Investigation
Gordon Center for Medical Imaging, Mass General Research Institute
Instructor in Radiology
Harvard Medical School
Radiology, Massachusetts General Hospital
|PhD Johns Hopkins University 2015|
Dr. Xing has been pursuing a research career that aims in helping the development of medical science from the medical imaging perspective. Starting his Ph.D. research at Johns Hopkins University. he had a broad background in mathematics and physics and it merged well with his doctoral research work, during which he developed new technologies to help the study of cardiac imaging, speech, and traumatic brain injury. Especially, his Ph.D. work provided an efficient pipeline of image analysis methods to reconstruct three-dimensional motion information from sparsely acquired MRI data, thus enabling further scientific research while maintaining efficiency in data acquisition. After graduating with a doctoral degree, he moved to the Gordon Center for Medical Imaging in Massachusetts General Hospital to continue his research. His work has been extended to cover more areas including cardiac study, fast dynamic imaging, ALS, deep learning, brain tumor imaging, etc. He made significant contributions in the area of speech imaging and tongue motion analysis and has developed anatomical and functional atlases of the tongue using multimodal MRI and machine learning techniques. He has a broad collaboration with a diverse group of experts in different research environments such as Massachusetts General Hospital, Johns Hopkins University, University of Maryland, UIUC, east Carolina University, Washington University in St. Louis, University of British Columbia, etc. A large number of peer-reviewed publications and presentations in top conferences have been produced from all of these projects.
- Tongue MRI: motion analysis with applications to the human tongue and muscle mechanics
- Brain biomechanics: motion analysis for traumatic brain injuries with tagged MRI
- Statistical image analysis and image label fusion