School of Medicine
Showing 1-8 of 8 Results
-
Curtis Langlotz
Professor of Radiology (Thoracic Imaging) and of Biomedical Informatics Research at the Stanford University Medical Center
Current Research and Scholarly Interests I am interested in the use of deep neural networks and other machine learning technologies to help radiologists detect disease and eliminate diagnostic errors. My laboratory is developing deep neural networks that detect and classify disease on medical images. We also develop natural language processing methods that use the narrative radiology report to create large annotated image training sets for supervised machine learning experiments.
-
Adam Lavertu
Ph.D. Student in Biomedical Informatics, admitted Autumn 2016
Bio Adam Lavertu received his B.A. in Computational Biology from Colby College and is currently a PhD candidate in the Stanford Biomedical Informatics Training Program. His primary work focuses on developing methods for natural language processing of real-world text to aid in pharmacological discovery and pharmacovigilance.
Internal Login