The Computational Breast Imaging Group (CBIG) is a research group within the Center for Biomedical Image Computing and Analytics and the Breast Imaging Division of the Radiology Department at the University of Pennsylvania. Our goal is to act as a translational catalyst between the worlds of computation imaging science and clinical breast cancer research by integrating image analysis, pattern recognition and data mining in clinically relevant breast imaging applications.
We are developing an emerging research program to investigate the role of imaging as a quantitative biomarker for improving personalized clinical decision making for breast cancer screening, prognosis, and treatment. CBIG collaborates with faculty within the Department of Radiology, the Abramson Cancer Center, the Institute for the Translational Medicine and Therapeutics (ITMAT), and the Center for Clinical Epidemiology and Biostatistics (CCEB). Affiliated faculty includes experts in informatics, medical physics, genetics, pathology, oncology, biostatistics, epidemiology and primary care.
Our vision is to foster a vibrant collaborative research environment in which basic scientists, graduate students, postdoctoral scholars, medical trainees and clinical investigators will have the opportunity to work closely together to accelerate translation biomedical imaging research.
Philadelphia, PA 19104
Assistant Professor
Research
University of Pennsylvania, Department of Radiology