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BME Seminars - Daniel L. Rubin

Seminar announcement flyer

Our next "Open Your Mind" seminar is scheduled for this Friday, April 24th 2015, and will take place at Paris Descartes University between 1:30 pm and 3 pm in Salle des Conferences (R229, 2nd floor), Centre Universitaire des Saints-Pères, 45 rue des Saints-Pères, 75006 Paris. A lecture on " Leveraging Medical Big Data for Improved Clinical Decision Making" will be given by Daniel Rubin, Assistant Professor of Radiology and in Medicine (Biomedical Informatics Research) at Stanford University and Member of the Stanford Cancer Center and the Bio-X interdisciplinary research program.

Our research group uses computational methods to leverage the information in radiology images to enable biomedical discovery and to guide physicians in personalized care. Just as biology has been revolutionized by online genetic data, our goal is to advance radiology by making the content in images computable and to electronically correlate images with other clinical data such as pathology and molecular data. Our work develops and translates basic biomedical informatics methods to improve radiology practice and decision making in several areas: tools to efficiently and thoroughly capture the semantic terms radiologists use to describe lesions; standardized terminologies to enable radiologists to describe lesions comprehensively and consistently; image processing methods to characterize the shape of lesions; content-based image retrieval with structured image information to enable radiologists to find similar images; methods to enable physicians to quantitatively and reproducibly assess tumor burden in images and to more effectively monitor treatment response in cancer treatment; natural language techniques to enable uniform indexing, searching, and retrieval of radiology information resources such as radiology reports; and decision support applications that relate radiology findings to diagnoses to improve diagnostic accuracy.

Arts et Métiers ParisTech
Université Paris Descartes
Master BME Paris