Eugene Ozhinsky

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Assistant Professor

University of California, San Francisco

United States

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Eugene Ozhinsky is an Assistant Professor at the University of California, San Francisco. His research areas include MR-guided focused ultrasound therapy, machine learning applications in MRI acquisitions, and advanced techniques in MR thermometry. Recent articles authored by him explore innovations in hyperthermia delivery systems and the optimization of ultrasound-based imaging for various medical applications.

Recent Grants

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Development of Methods for Precise MR-guided Hyperthermia Delivery for Targeted Cancer Therapies

Open Date: 2019-02-01

Close Date: 2021-12-31

Eugene Ozhinsky

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Recent Grants

Articles (18)

Optimization of <scp>MR</scp>‐Guided Focused Ultrasound System: Comparative Study of Water Bolus and Electrically Optimized Material Using Automated Machine Learning

Volumetric hyperthermia delivery using the ExAblate Body MR-guided focused ultrasound system

Technical advances in motion‐robust MR thermometry

MR Thermometry during Transcranial MR Imaging–Guided Focused Ultrasound Procedures: A Review

Machine learning-based automated scan prescription of lumbar spine MRI acquisitions

Shape-recovery of implanted shape-memory devices remotely triggered via image-guided ultrasound heating

Motion-robust, multi-slice, real-time MR thermometry for MR-guided thermal therapy in abdominal organs

Magnetic Resonance Imaging of the Lumbar Spine: Recommendations for Acquisition and Image Evaluation from the BACPAC Spine Imaging Working Group

MR-guided focused ultrasound therapy of extra-abdominal desmoid tumors: a multicenter retrospective study of 105 patients

Estimate of fetal brain temperature using proton resonance frequency thermometry during 3 Tesla fetal magnetic resonance imaging

Technical note: Low‐cost MR‐compatible pneumatic respiratory organ motion simulator for the development of MR‐guided thermal therapy

Studying osteoarthritis with artificial intelligence applied to magnetic resonance imaging

Anatomic thermochromic tissue-mimicking phantom of the lumbar spine for pre-clinical evaluation of MR-guided focused ultrasound (MRgFUS) ablation of the facet joint

Sonication strategies toward volumetric ultrasound hyperthermia treatment using the ExAblate body MRgFUS system

Computer‐Aided Detection AI Reduces Interreader Variability in Grading Hip Abnormalities With MRI

Development and Validation of a Multitask Deep Learning Model for Severity Grading of Hip Osteoarthritis Features on Radiographs

Development and performance comparison with radiologists of a multitask deep learning model for severity grading of hip osteoarthritis features on radiographs

Automatic Hip Fracture Identification and Functional Subclassification with Deep Learning

Collaborators (8)

Magdalena Posadzy

Kisoo Kim

Lorenzo Nardo

Lubdha Shah

Aaron Fields

Chris Diederich

Pia M. Jungmann

Radhika Tibrewala

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