Shuo Li

Shuo LiDr. Li is the Director of Digital Imaging Group (DIG) of London, an associate professor in the department of medical imaging and medical biophysics at the University of Western Ontario and a scientist at the Lawson Health Research Institute. Before tis position, he was a research scientist and project manager in general electric (GE) healthcare for 9 years. He funds and directs the DIG (http: //digitalimaginggroup.ca/) since 2006, which is a highly dynamic and multiple disciplinary group. He received his Ph.D. degree in computer science from Concordia University 2006, where his Ph.D. thesis won the doctoral prize giving to the most deserving graduating student in the faculty of engineering and computer science. He has published over 100 publications; He is the recipient of several GE internal awards, and he serves as guest editor and associate editor in several prestigious journals in the field. Dr. Li also serves as a program committee member in highly influential conferences; and he is the editor of six books. His current interest is development intelligent analytic tools to help physicians and hospital administrative to handle the big medical data, centered with medical images. Read More Read Less

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Artificial Intelligence and Imaging for Diagnostic and Treatment Challenges in Breast Care36 %
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Medical Image Computing and Computer Assisted Intervention - Miccai 202236 %
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Medical Image Computing and Computer Assisted Intervention - Miccai 202236 %
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Medical Image Computing and Computer Assisted Intervention - Miccai 202236 %
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Medical Image Computing and Computer Assisted Intervention - Miccai 202236 %
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Medical Image Computing and Computer Assisted Intervention - Miccai 202236 %
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Medical Image Computing and Computer Assisted Intervention - Miccai 202237 %
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Medical Image Computing and Computer Assisted Intervention - Miccai 202236 %
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Computational Methods and Clinical Applications for Spine Imaging36 %
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Computational Methods and Clinical Applications for Spine Imaging36 %
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Shape Analysis in Medical Image Analysis21 %
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Spinal Imaging and Image Analysis21 %
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Computational Radiology for Orthopaedic Interventions21 %
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Computational Methods for Molecular Imaging37 %
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Bio-Imaging and Visualization for Patient-Customized Simulations21 %
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Computational Methods and Clinical Applications for Spine Imaging21 %
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Statistical Shape and Deformation Analysis45 %
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Star Clusters and Black Holes in Galaxies Across Cosmic Time (Iau S312)
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Recent Advances in Computational Methods and Clinical Applications for Spine Imaging21 %
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