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Fatemeh Zabihollahy
ORCID
Publication Activity (10 Years)
Years Active: 2018-2022
Publications (10 Years): 9
Top Topics
Convolutional Neural Network
Deep Learning
Automated Segmentation
Fully Automated
Top Venues
Medical Imaging: Computer-Aided Diagnosis
Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging
Medical Imaging: Image-Guided Procedures
Medical Imaging: Digital Pathology
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Publications
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Rohini Gaikar
,
Fatemeh Zabihollahy
,
Nadia A. Farrag
,
Mohamed W. Elfaal
,
Nicola Schieda
,
Eranga Ukwatta
Transfer learning based fully automated kidney segmentation on MR images.
Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging
(2022)
Fatemeh Zabihollahy
,
Akila N. Viswanathan
,
Ehud J. Schmidt
,
Junghoon Lee
A deep learning-based clinical target volume segmentation in female pelvic MRI for radiation therapy planning.
Medical Imaging: Image-Guided Procedures
(2022)
Jenita Manokaran
,
Fatemeh Zabihollahy
,
Andrew Hamilton-Wright
,
Eran Ukwatta
Deep learning-based detection of COVID-19 from chest x-ray images.
Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging
(2021)
Fatemeh Zabihollahy
,
Nicola Schieda
,
Eranga Ukwatta
Patch-Based Convolutional Neural Network for Differentiation of Cyst From Solid Renal Mass on Contrast-Enhanced Computed Tomography Images.
IEEE Access
8 (2020)
Conor McKeen
,
Fatemeh Zabihollahy
,
Jinu Kurian
,
Adrian D. C. Chan
,
Dina El Demellawy
,
Eranga Ukwatta
Machine learning-based approach for fully automated segmentation of muscularis propria from histopathology images of intestinal specimens.
Medical Imaging: Digital Pathology
(2019)
Fatemeh Zabihollahy
,
James A. White
,
Eranga Ukwatta
Fully automated segmentation of left ventricular myocardium from 3D late gadolinium enhancement magnetic resonance images using a U-net convolutional neural network-based model.
Medical Imaging: Computer-Aided Diagnosis
(2019)
Fatemeh Zabihollahy
,
Aidan Lochbihler
,
Eranga Ukwatta
Deep learning based approach for fully automated detection and segmentation of hard exudate from retinal images.
Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging
(2019)
Fatemeh Zabihollahy
,
Eranga Ukwatta
Fully-automated segmentation of optic disk from retinal images using deep learning techniques.
Medical Imaging: Computer-Aided Diagnosis
(2019)
Fatemeh Zabihollahy
,
James A. White
,
Eranga Ukwatta
Myocardial scar segmentation from magnetic resonance images using convolutional neural network.
Medical Imaging: Computer-Aided Diagnosis
(2018)