Ronald M. Summers, M.D., Ph.D.
Imaging Biomarkers and Computer-Aided Diagnosis Laboratory
NIH Clinical Center
Building 10, Room 1C224D
10 Center Drive
Bethesda, MD 20892
Dr. Summers joined the Diagnostic Radiology Department at the NIH Clinical Center in 1994. He is currently Chief of the Clinical Image Processing Service, and directs the Imaging Biomarkers and Computer-Aided Diagnosis (CAD) Laboratory. His research interests include virtual colonoscopy, CAD, multi-organ multi-atlas registration, and development of large radiologic image databases. His clinical areas of specialty are thoracic and gastrointestinal radiology and body cross-sectional imaging. His current research focuses on developing fully-automated interpretation of abdominal CT scans.
Dr. Summers received a BA in physics and the M.D. and Ph.D. degrees in medicine/anatomy and cell biology from the University of Pennsylvania. He completed a medical internship at the Presbyterian-University of Pennsylvania Hospital, Philadelphia, PA, a radiology residency at the University of Michigan, Ann Arbor, MI, and an MRI fellowship at Duke University. In 2000, he received the Presidential Early Career Award for Scientists and Engineers, presented by Dr. Neal Lane, President Clinton's science advisor. In 2012, he received the NIH Director's Award, presented by NIH Director Dr. Francis S. Collins. He is an editorial board member of the journals Radiology and Academic Radiology. He was a co-chair of the Computer-aided Diagnosis program of the annual SPIE Medical Imaging conference in 2010 and 2011. He has co-authored over 300 journal, review and conference proceedings articles, and is a co-inventor on 12 patents.
Yan K, Wang X, Lu L, Summers RM. DeepLesion: automated mining of large-scale lesion annotations and universal lesion detection with deep learning. J Med Imaging (Bellingham). 2018;5(3):036501.
Summers RM. Progress in Fully Automated Abdominal CT Interpretation. AJR Am J Roentgenol. 2016;207(1):67-79.
Summers RM, Yao J, Pickhardt PJ, Franaszek M, Bitter I, Brickman D, Krishna V, Choi JR. Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population. Gastroenterology. 2005;129(6):1832-44.
Nguyen TB, Wang S, Anugu V, Rose N, McKenna M, Petrick N, Burns JE, Summers RM. Distributed human intelligence for colonic polyp classification in computer-aided detection for CT colonography. Radiology. 2012;262(3):824-33.
Shin HC, Roth HR, Gao M, Lu L, Xu Z, Nogues I, Yao J, Mollura D, Summers RM. Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. IEEE Trans Med Imaging. 2016;35(5):1285-98.
Related Scientific Focus Areas
Biomedical Engineering and Biophysics
This page was last updated on August 2nd, 2018