Xiang "Shaun" Li, Ph.D.
Instructor in Investigation
Gordon Center for Medical Imaging, Research Institute
Instructor in Radiology
Harvard Medical School
Radiology, Massachusetts General Hospital
|PhD University of Georgia 2016|
|Bachelor of Engineering Shanghai Jiaotong University 2006|
From the application perspective, I have been working on the processing and analysis of medical images in two main categories: lung CT and brain MR. By collecting and analyzing CT images >300 patients within the institution, I have developed a deep learning-enabled system for pneumothorax detection (i.e. screening) with high sensitivity and very fast running speed. The system is among the four finalists of the 2018 NVIDIA Global Impact Award, for its potential impact on application of AI in healthcare. Currently I’m working on the alpha testing for the system’s integration into the clinical workflow of MGH, as well as extending its applicability to other critical conditions such as pulmonary embolism. On the other hand, analysis of brain MR images especially functional MRI data is a continuation of my PhD research. Being among the first researchers who utilized mathematic models to characterize brain functional dynamics in both normal and abnormal populations (since 2011), my works on diagnosis of post-traumatic stress disorder (PTSD), attention deficit hyperactivity disorder (ADHD), and mild cognitive impairment (MCI) are the pioneers in this field and inspired many later works. My current project on functional brain modeling involves using dynamic graph representation combined with geometric deep learning to achieve holistic and efficient characterization of functional brain states.
Center for Advanced Medical Computing and Analysis Publications
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