Information Sciences in Imaging at Stanford (ISIS)  
Information Sciences in Imaging


Our Vision

Transforming imaging data into knowledge
to improve health.


Our Mission

Pioneering, translating and disseminating methods in the information sciences that integrate imaging, clinical and molecular data to understand biology and to improve clinical care.









Recent Awards for ISIS faculty and students:

Daniel Rubin's "A Shared Computational
Approach to Multi-institutional Mining of Big Data for Rapid Learning in Cancer" was selected for the 2014 Big Data for Human Health Seed Grant in the inaugural Stanford University and Oxford University joint seed program.

Sylvia Plevritis,was elected to the American Institute for Medical and Biological Engineering (AIMBE) 2014 College of Fellows

Daniel Rubin awarded new CDER grant: Data and Terminology Standards in Imaging Development and Evaluation

Recently Awarded Grants

Data and Terminology Standards in Imaging Development and Evaluation
PI: Rubin
(FDA 1R24FD004757, 8/1/2013)

Tools for Linking and Mining Image and Genomic Data in Non-Small Cell Lung Cancer
co-PIs: Sandy Napel, Sylvia Plevritis
(NIH: 1R01CA16025101, 09/2011)

Clinically Relevant Regulatory Networks in the Lung Tumor Microenvironment
PI: Sylvia Plevritis
(NIH: 1U01CA154960-01, 09/2011)

Stanford Medicine Resources:

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