Sohrab Afshari Mirak
University of California, Los Angeles, Hi-Z Technology (United States)
Papers
3
Total Citations
312
H-Index
3
About
Sohrab Afshari Mirak is a leading researcher in prostate cancer imaging, specializing in the development and validation of advanced magnetic resonance imaging (MRI) techniques to improve diagnosis and characterization of the disease. His major contributions center on integrating multi-parametric MRI (mp-MRI) with deep learning and microstructural imaging to reduce inter-reader variability and enhance diagnostic accuracy. His most cited work, "Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet" (2019, 215 citations), introduces a novel deep learning framework that simultaneously detects prostate cancer and predicts its aggressiveness, directly addressing the limitations of qualitative interpretation criteria. Mirak also pioneered the use of diffusion-relaxation correlation spectrum imaging (DR-CSI) to characterize prostate microstructure, validating this technique against whole-mount digital histopathology in a 2020 study (62 citations). Furthermore, he developed a system using patient-specific 3D-printed molds to precisely align in vivo MRI with ex vivo MRI and histopathology (2018, 35 citations), enabling rigorous validation of imaging biomarkers. This work has been instrumental in bridging the gap between non-invasive imaging and tissue-level pathology, advancing precision medicine for prostate cancer.
Research Focus
Key Achievements
Top Papers
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