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Sepideh Shakeri

Researcher at University of California, Los Angeles

Publications -  16
Citations -  384

Sepideh Shakeri is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Renal cell carcinoma & Population. The author has an hindex of 8, co-authored 16 publications receiving 200 citations. Previous affiliations of Sepideh Shakeri include Ronald Reagan UCLA Medical Center.

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Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet

TL;DR: A novel multi-class CNN, FocalNet, is proposed to jointly detect PCa lesions and predict their aggressiveness using Gleason score (GS), which characterizes lesion aggressiveness and fully utilizes distinctive knowledge from mp-MRI.
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Deep transfer learning-based prostate cancer classification using 3 Tesla multi-parametric MRI

TL;DR: A deep transfer learning (DTL)-based model to distinguish indolent from clinically significant prostate cancer (PCa) lesions and to compare the DTL-based model with a deep learning (DL) model without transfer learning and PIRADS v2 score on 3 Tesla multi-parametric MRI with whole-mount histopathology validation is proposed.
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A system using patient-specific 3D-printed molds to spatially align in vivo MRI with ex vivo MRI and whole-mount histopathology for prostate cancer research.

TL;DR: Patient‐specific 3D‐printed molds and ex vivo MRI of the resected prostate have been two important strategies to align MRI with whole‐mount histopathology (WMHP) for prostate cancer research, but the combination of these two strategies has not been systematically evaluated.
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Three Tesla Multiparametric Magnetic Resonance Imaging: Comparison of Performance with and without Endorectal Coil for Prostate Cancer Detection, PI-RADS™ version 2 Category and Staging with Whole Mount Histopathology Correlation.

TL;DR: It was found that 3 Tesla multiparametric magnetic resonance imaging with and without an endorectal coil had similar detection of overall and index prostate cancer, however, the endoreCTal coil subcohort had significantly higher detection of posterior and peripheral prostate cancers, and lower detection of anterior and transition zone prostate cancer.