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Author Details

Fatemeh Zabihollahy
David Geffen School of Medicine, University of California los angeles
2018
15
9
PMIDPaper TitleJournal TitlePublished Year
36824946Racial Disparities in Quantitative MRI for African American and White Men with Prostate Cancer.Res Sq2023
37021577Evaluation of Spatial Attentive Deep Learning for Automatic Placental Segmentation on Longitudinal MRI.J Magn Reson Imaging2023
35894782Fully automated segmentation of clinical target volume in cervical cancer from magnetic resonance imaging with convolutional neural network.J Appl Clin Med Phys2022
35721309Transfer learning-based approach for automated kidney segmentation on multiparametric MRI sequences.J Med Imaging (Bellingham)2022
32410356Quantitative Prostate MRI.J Magn Reson Imaging2021
34435075Detection of COVID-19 from chest x-ray images using transfer learning.J Med Imaging (Bellingham)2021
34609756Fully automated multiorgan segmentation of female pelvic magnetic resonance images with coarse-to-fine convolutional neural network.Med Phys2021
31456317Fully automated localization of prostate peripheral zone tumors on apparent diffusion coefficient map MR images using an ensemble learning method.J Magn Reson Imaging2020
31955415Fully automated segmentation of left ventricular scar from 3D late gadolinium enhancement magnetic resonance imaging using a cascaded multi-planar U-Net (CMPU-Net).Med Phys2020
32329074Ensemble U-net-based method for fully automated detection and segmentation of renal masses on computed tomography images.Med Phys2020
32562100Machine Learning-Based Segmentation of Left Ventricular Myocardial Fibrosis from Magnetic Resonance Imaging.Curr Cardiol Rep2020
32350661Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusion.Eur Radiol2020
31002381Automated segmentation of prostate zonal anatomy on T2-weighted (T2W) and apparent diffusion coefficient (ADC) map MR images using U-Nets.Med Phys2019
30734937Convolutional neural network-based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR images.Med Phys2019
30412472Virtual electrophysiological study as a tool for evaluating efficacy of MRI techniques in predicting adverse arrhythmic events in ischemic patients.Phys Med Biol2018
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Collaborators

Kyunghyun Sung
University of California los angeles
Co-authored papers 2
Robert E Reiter
David Geffen School of Medicine at university of california los angeles
Co-authored papers 1
Qi Miao
David Geffen School of Medicine, University of California los angeles
Co-authored papers 1
William Hsu
American Medical Informatics Association, IEEE, Johns Hopkins University, Radiological Society of North America, University of California Los Angeles, University of California, Los Angeles
Co-authored papers 1
William Hsu
Co-authored papers 1
Baris Turkbey
National Cancer Institute, National Institutes of Health
Co-authored papers 1
Natalia A Trayanova
Co-authored papers 1
Anthony Sisk
University of California los angeles
Co-authored papers 1
Ida Sonni
David Geffen School of Medicine at university of california los angeles
Co-authored papers 1
Sitaram Vangala
University of California los angeles
Co-authored papers 1
Steven Raman
David Geffen School of Medicine, University of California los angeles
Co-authored papers 1
Harrison Kim
University of Alabama at Birmingham
Co-authored papers 1
Release 1.2