Integrative Biomedical Imaging Informatics

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.

Recently Awarded Grants

Computing, Optimizing, and Evaluating Quantitative Cancer Imaging Biomarkers
PI(s): Napel, Rubin
(NIH/NCI: 1U01CA187947-01A1)

Qualification and Deployment of Imaging Biomarkers of Cancer Treatment Response
PI: Rubin
(NIH/NCI: 1U01CA190214-01, 06/2015)

Informatics Tools for Optimized Imaging Biomarkers for Cancer Research & Discovery
Subcontract PI: Napel (MGH prime)
(NIH/NCI: U24 CA180927, 09/2014)

Data and Terminology Standards in Imaging Development and Evaluation
PI: Rubin
(FDA 1R24FD004757, 08/2013)

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)

News and Events

  • Sandy Napel and Daniel Rubin awarded an NIH U01 grant "Computing, Optimizing, and Evaluating Quantitative Cancer Imaging Biomarkers" - August 25, 2015
  • Martin Epstein Award at AMIA 2014:  Gimenez F, Wu Y, Burnside ES, Rubin DL. "A Novel Method to Assess Incompleteness of Mammography Report Content." Proceedings of the American Medical Informatics Association; Washington, DC, p. 1758-67
  • 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