Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Fatemeh Zabihollahy

Showing results (1-10 of 21) with videos related to

Pageof 3
Sort By:
Current Cardiology Reports|June 21, 2020
Machine Learning-Based Segmentation of Left Ventricular Myocardial Fibrosis from Magnetic Resonance ImagingFatemeh Zabihollahy, S Rajan, E Ukwatta
Medical Physics|February 9, 2019
Convolutional neural network-based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR imagesFatemeh Zabihollahy, James A White, Eranga Ukwatta
Journal of Magnetic Resonance Imaging : JMRI|August 29, 2019
Fully automated localization of prostate peripheral zone tumors on apparent diffusion coefficient map MR images using an ensemble learning methodFatemeh Zabihollahy, Eranga Ukwatta, Satheesh Krishna, et al.
European Radiology|May 1, 2020
Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusionFatemeh Zabihollahy, Nicola Schieda, Satheesh Krishna, et al.
Medical Physics|April 20, 2019
Automated segmentation of prostate zonal anatomy on T2-weighted (T2W) and apparent diffusion coefficient (ADC) map MR images using U-NetsFatemeh Zabihollahy, Nicola Schieda, Satheesh Krishna Jeyaraj, et al.
Journal of Applied Clinical Medical Physics|July 27, 2022
Fully automated segmentation of clinical target volume in cervical cancer from magnetic resonance imaging with convolutional neural networkFatemeh Zabihollahy, Akila N Viswanathan, Ehud J Schmidt, et al.
Medical Physics|January 20, 2020
Fully automated segmentation of left ventricular scar from 3D late gadolinium enhancement magnetic resonance imaging using a cascaded multi-planar U-Net (CMPU-Net)Fatemeh Zabihollahy, Martin Rajchl, James A White, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 26, 2021
Detection of COVID-19 from chest x-ray images using transfer learningJenita Manokaran, Fatemeh Zabihollahy, Andrew Hamilton-Wright, et al.
Medical Physics|October 5, 2021
Fully automated multiorgan segmentation of female pelvic magnetic resonance images with coarse-to-fine convolutional neural networkFatemeh Zabihollahy, Akila N Viswanathan, Ehud J Schmidt, et al.
Physics in Medicine and Biology|November 10, 2018
Virtual electrophysiological study as a tool for evaluating efficacy of MRI techniques in predicting adverse arrhythmic events in ischemic patientsEranga Ukwatta, Plamen Nikolov, Fatemeh Zabihollahy, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Current Cardiology Reports|June 21, 2020
Machine Learning-Based Segmentation of Left Ventricular Myocardial Fibrosis from Magnetic Resonance ImagingFatemeh Zabihollahy, S Rajan, E Ukwatta
Medical Physics|February 9, 2019
Convolutional neural network-based approach for segmentation of left ventricle myocardial scar from 3D late gadolinium enhancement MR imagesFatemeh Zabihollahy, James A White, Eranga Ukwatta
Journal of Magnetic Resonance Imaging : JMRI|August 29, 2019
Fully automated localization of prostate peripheral zone tumors on apparent diffusion coefficient map MR images using an ensemble learning methodFatemeh Zabihollahy, Eranga Ukwatta, Satheesh Krishna, et al.
European Radiology|May 1, 2020
Automated classification of solid renal masses on contrast-enhanced computed tomography images using convolutional neural network with decision fusionFatemeh Zabihollahy, Nicola Schieda, Satheesh Krishna, et al.
Medical Physics|April 20, 2019
Automated segmentation of prostate zonal anatomy on T2-weighted (T2W) and apparent diffusion coefficient (ADC) map MR images using U-NetsFatemeh Zabihollahy, Nicola Schieda, Satheesh Krishna Jeyaraj, et al.
Journal of Applied Clinical Medical Physics|July 27, 2022
Fully automated segmentation of clinical target volume in cervical cancer from magnetic resonance imaging with convolutional neural networkFatemeh Zabihollahy, Akila N Viswanathan, Ehud J Schmidt, et al.
Medical Physics|January 20, 2020
Fully automated segmentation of left ventricular scar from 3D late gadolinium enhancement magnetic resonance imaging using a cascaded multi-planar U-Net (CMPU-Net)Fatemeh Zabihollahy, Martin Rajchl, James A White, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 26, 2021
Detection of COVID-19 from chest x-ray images using transfer learningJenita Manokaran, Fatemeh Zabihollahy, Andrew Hamilton-Wright, et al.
Medical Physics|October 5, 2021
Fully automated multiorgan segmentation of female pelvic magnetic resonance images with coarse-to-fine convolutional neural networkFatemeh Zabihollahy, Akila N Viswanathan, Ehud J Schmidt, et al.
Physics in Medicine and Biology|November 10, 2018
Virtual electrophysiological study as a tool for evaluating efficacy of MRI techniques in predicting adverse arrhythmic events in ischemic patientsEranga Ukwatta, Plamen Nikolov, Fatemeh Zabihollahy, et al.
Pageof 3