School of Medicine
Showing 1-17 of 17 Results
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Shengtian Sang
Postdoctoral Scholar, Radiation Physics
BioShengtian Sang is currently a post-doctoral scholar at the Laboratory of Artificial Intelligence in Medicine and Biomedical Physics in the department of Radiation Oncology at Stanford University. He received his Ph.D. degree from the College of Computer Science and Technology, Dalian University of Technology, Dalian, China. His current research interests are high-dimensional data mining, medical image computing, and machine learning. In his Ph.D. study, he worked on the biomedical literature-based discovery and data mining.
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Lawrie Skinner
Clinical Assistant Professor, Radiation Oncology - Radiation Physics
BioDr Skinner is a Board certified therapeutic medical physicist with interests in novel 3D printed devices and a research background in synchrotron x-ray scattering, neutron scattering, molecular dynamics and Monte Carlo computational modelling.
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Kendric C. Smith
Professor of Radiation Oncology, Emeritus
Current Research and Scholarly InterestsThe photochemistry and radiation chemistry of DNA, the genetic control and biochemical bases of the multiple pathways of DNA repair, and the roles of DNA repair processes in radiation and spontaneous mutagenesis. Over 190 papers have been published on these and related topics.
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Scott G. Soltys, MD
Professor of Radiation Oncology (Radiation Therapy) and, by courtesy, of Neurosurgery
Current Research and Scholarly InterestsMy clinical and research interests focus on the development of new radiation techniques involving stereotactic radiosurgery and radiotherapy for the treatment of malignant and benign tumors of the brain and spine, as well as functional disorders such as trigeminal neuralgia.
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Liyan Sun
Postdoctoral Scholar, Radiation Physics
Current Research and Scholarly InterestsPhysics-driven deep learning algorithms for MRI/CT reconstruction and analysis:
(1) MRI acceleration with partial measurements.
(2) Medical image segmentation under limited data resources.
(3) Unsupervised/supervised medical image synthesis for MRI or CT.
(4) Longitudinal medical data analysis with deep learning models.
(5) PET image reconstruction and analysis.
