Myocardial scar segmentation from magnetic resonance images using convolutional neural network. - Fatemeh Zabihollahy; James A. White; Eranga Ukwatta (Computer-Aided Diagnosis, 2018)

Deep learning based approach for fully automated detection and segmentation of hard exudate from retinal images. - Fatemeh Zabihollahy; Aidan Lochbihler; Eranga Ukwatta (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Fully-automated segmentation of optic disk from retinal images using deep learning techniques. - Fatemeh Zabihollahy; Eranga Ukwatta (Computer-Aided Diagnosis, 2019)

Fully automated segmentation of left ventricular myocardium from 3D late gadolinium enhancement magnetic resonance images using a U-net convolutional neural network-based model. - Fatemeh Zabihollahy; James A. White; Eranga Ukwatta (Computer-Aided Diagnosis, 2019)

Machine learning-based approach for fully automated segmentation of muscularis propria from histopathology images of intestinal specimens. - Conor McKeen; Fatemeh Zabihollahy; Jinu Kurian; Adrian D. C. Chan; Dina El Demellawy; Eranga Ukwatta (Digital Pathology, 2019)

Patch-Based Convolutional Neural Network for Differentiation of Cyst From Solid Renal Mass on Contrast-Enhanced Computed Tomography Images. - Fatemeh Zabihollahy; Nicola Schieda; Eranga Ukwatta (IEEE Access, 2020)

Deep learning-based detection of COVID-19 from chest x-ray images. - Jenita Manokaran; Fatemeh Zabihollahy; Andrew Hamilton-Wright; Eran Ukwatta (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Transfer learning based fully automated kidney segmentation on MR images. - Rohini Gaikar; Fatemeh Zabihollahy; Nadia A. Farrag; Mohamed W. Elfaal; Nicola Schieda; Eranga Ukwatta (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

A deep learning-based clinical target volume segmentation in female pelvic MRI for radiation therapy planning. - Fatemeh Zabihollahy; Akila N. Viswanathan; Ehud J. Schmidt; Junghoon Lee (Image-Guided Procedures, 2022)

Deep learning-based automatic pipeline for 3D needle localization on intra-procedural 3D MRI. - Wenqi Zhou; Xinzhou Li; Fatemeh Zabihollahy; David S. Lu; Holden H. Wu (Int. J. Comput. Assist. Radiol. Surg., 2024)