Fatemeh Zabihollahy

According to our database, Fatemeh Zabihollahy authored at least 9 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

Transfer learning based fully automated kidney segmentation on MR images.

Rohini Gaikar, Fatemeh Zabihollahy, Nadia A. Farrag, Mohamed W. Elfaal, Nicola Schieda, Eranga Ukwatta

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021

Deep learning-based detection of COVID-19 from chest x-ray images.

Jenita Manokaran, Fatemeh Zabihollahy, Andrew Hamilton-Wright, Eran Ukwatta

Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021

2020

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

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

Proceedings of the Medical Imaging 2019: Digital Pathology, 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

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Fully-automated segmentation of optic disk from retinal images using deep learning techniques.

Fatemeh Zabihollahy, Eranga Ukwatta

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Deep learning based approach for fully automated detection and segmentation of hard exudate from retinal images.

Fatemeh Zabihollahy, Aidan Lochbihler, Eranga Ukwatta

Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

2018

Myocardial scar segmentation from magnetic resonance images using convolutional neural network.

Fatemeh Zabihollahy, James A. White, Eranga Ukwatta

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018