Dr. Geoffrey D. Rubin
at Duke Univ
SPIE Involvement:
Profile Summary

Geoffrey D. Rubin, MD, MBA is the George B. Geller Distinguished Professor for Research in Cardiovascular Diseases and former chair of the Department of Radiology at Duke University. Previously, he was Professor of Radiology at Stanford University where he co-founded the Stanford 3-D Medical Imaging Laboratory in 1996 and served as its Medical Director until 2010, establishing the first scalable clinical service facility for applying computer graphics and vision tools to medical imaging data and training hundreds of physicians and technologists to emulate the model worldwide. His research focuses on applications of machine learning to medical image analysis, human perception in the interpretation of volumetric medical images, and the application of CT and MRI for assessing the cardiovascular and respiratory systems.
He is past president of the North American Society for Cardiovascular Imagers, the Society for Advanced Body Imaging, and the Fleischner Society. He has authored over 220 peer-reviewed manuscripts and edited six books, including the acclaimed textbook, CT and MR Angiography: Comprehensive Vascular Assessment.
Publications (20)

Proceedings Article | 4 April 2022 Paper
Proceedings Volume 12033, 120332J (2022) https://doi.org/10.1117/12.2612700
KEYWORDS: Binary data, Emphysema, Performance modeling, Machine learning, Computed tomography, Solid modeling, Lung, Data modeling, Computer aided diagnosis and therapy, Chest

SPIE Journal Paper | 9 January 2021 Open Access
JMI, Vol. 8, Issue 01, 013501, (January 2021) https://doi.org/10.1117/12.10.1117/1.JMI.8.1.013501
KEYWORDS: Computed tomography, Image quality, Scanners, Motion models, Stochastic processes, Angiography, Clinical trials, Calcium, Statistical analysis, Imaging systems

Proceedings Article | 16 March 2020 Presentation + Paper
Proceedings Volume 11314, 1131408 (2020) https://doi.org/10.1117/12.2550857
KEYWORDS: Convolutional neural networks, Feature selection, Computer aided diagnosis and therapy, Radiology, 3D modeling, Computed tomography, Lung, Classification systems, Chest, Binary data, Data modeling, Emphysema, Feature extraction, Image segmentation

Proceedings Article | 16 March 2020 Presentation + Paper
Proceedings Volume 11314, 113141P (2020) https://doi.org/10.1117/12.2551370
KEYWORDS: Lung, Liver, Kidney, Radiology, Computed tomography, Neural networks, Binary data

SPIE Journal Paper | 25 January 2020
Boning Li, Taylor Smith, Kingshuk Roy Choudhury, Brian Harrawood, Lukas Ebner, Justus Roos, Geoffrey Rubin
JMI, Vol. 7, Issue 02, 022409, (January 2020) https://doi.org/10.1117/12.10.1117/1.JMI.7.2.022409
KEYWORDS: Lung, Computed tomography, Performance modeling, Statistical analysis, Statistical modeling, Blood vessels, Chest, Lung cancer, Data modeling, Feature selection

Showing 5 of 20 publications
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