Matthew Gibbons

Matthew Gibbons is a Researcher in the Department of Radiology at the University of California, San Francisco (UCSF) School of Medicine. His work bridges medical imaging, biomedical engineering, and clinical research, with a focus on prostate cancer and bone physiology.

• Education: PhD in Engineering Applied Science (UC Davis, 1995), MS in Nuclear Science (Air Force Institute of Technology, 1984), BS in Physics (Purdue University, 1982), and MS in Biomedical Imaging (UCSF, 2018).

Gibbons specializes in Diagnostic Imaging, particularly MRI applications for prostate cancer detection and cortical bone vessel analysis. His research leverages Neural Networks, Image Processing, and Biomedical Engineering to improve tumor segmentation and histopathology reference standards.

Recent publications (2015–2025) highlight his expertise in MRI, Prostate Cancer, and Computational Modeling. Collaborations with institutions like UC Davis and Purdue University underscore his interdisciplinary approach.

Gibbons has worked with co-authors including Susan Noworolski, Peter Carroll, Jeff Simko, and John Kurhanewicz. His work spans journals such as Tomography, Magnetic Resonance Imaging, and Journal of Applied Physics, with additional contributions to patents in magnetic recording technology.