Eugene Ozhinsky

Eugene Ozhinsky, PhD is an Associate Professor in the Department of Radiology and Biomedical Imaging at the University of California San Francisco (UCSF), School of Medicine. He serves as Technical Director for Focused Ultrasound at the Department and conducts research at the VA Advanced Imaging Research Center (VAARC), part of the San Francisco Veterans Affairs Health Care System.

Dr. Ozhinsky's primary research interests focus on machine learning applications for musculoskeletal imaging and MR-guided focused ultrasound therapy. His work at VAARC involves developing and implementing machine learning techniques for automated image processing, analysis, and prescription of musculoskeletal X-ray, MRI, PET, and CT images to improve care for VA patients through precise diagnostics and prediction of disease progression. His current research specifically targets safely opening the blood-brain barrier to enable therapeutic delivery to the brain.

Dr. Ozhinsky's publication record demonstrates significant contributions to medical imaging, particularly in MR thermometry, machine learning applications in radiology, and focused ultrasound technology. His recent work shows increasing emphasis on integrating artificial intelligence with medical imaging for improved diagnostic capabilities and treatment planning, with notable publications spanning neuroimaging, musculoskeletal applications, and thermal therapy techniques.

Scientific Awards

• Outstanding Poster Presentation Award, 13th Annual Imaging Research Symposium, UCSF, 2016
• Magna Cum Laude Merit Award, International Society for Magnetic Resonance in Medicine, 2014
• Surbeck Scholar Award (1st place), INDNJC Foundation, 2011
• Graduate Dean's Health Science Fellowship, UCSF, 2006

Dr. Ozhinsky has secured significant research funding, including as Principal Investigator on the NIH R21EB026018 grant "Development of Methods for Precise MR-guided Hyperthermia Delivery for Targeted Cancer Therapies" (2019-2021) and as Co-Principal Investigator on the Department of Defense CDMRP grant "Rapid, High-Resolution, Fully-Automated Metabolic Imaging for Evaluating Patients with Glioma" (2023-2027). His work bridges engineering, computer science, and clinical medicine to advance diagnostic and therapeutic applications of medical imaging.

Dr. Ozhinsky leads the Focused Ultrasound Lab at UCSF and has developed open-source software for Automated Prescription of Brain 3D MRSI, demonstrating his commitment to sharing research tools with the broader scientific community.