Imaging Informatics: From Pixels to Biomedical Meaning
Daniel Rubin - Professor of Biomedical Data Science and of Radiology (Integrative Biomedical Imaging Informatics at Stanford), of Medicine (Biomedical Informatics Research) and, by courtesy, of Ophthalmology and of Computer Science
Bio-X Affiliated Faculty
Dr. Rubin's research interest is imaging informatics - ways computers can work with images to leverage their rich information content and to help physicians use images to guide personalized care.
Stanford Bio-X Seed Grants
A machine learning approach to automated detection and characterization of dendritic spines in the mammalian brain
Interdisciplinary Initiatives Program Round 8 - 2016
Computerized Quantitative Imaging Assessment of Age-Related Acute Macular Degeneration
Interdisciplinary Initiatives Program Round 5 – 2010
Research News
Some glioblastoma patients benefit from ‘ineffective’ treatment
December 22, 2016 - Stanford Medicine News Center
A study from Bio-X affiliates Daniel Rubin, Olivier Gevaert, Griffith Harsh, and Steven Chang...
Retinal-scan analysis can predict advance of macular degeneration
November 5, 2014 - Stanford Medicine News Center
Partially supported by a Bio-X IIP Seed Grant, a new computer algorithm designed by Bio-X...