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2020 – today
- 2024
[j2]Wenqi Zhou, Xinzhou Li, Fatemeh Zabihollahy, David S. Lu, Holden H. Wu
:
Deep learning-based automatic pipeline for 3D needle localization on intra-procedural 3D MRI. Int. J. Comput. Assist. Radiol. Surg. 19(11): 2227-2237 (2024)- 2022
- [c8]Rohini Gaikar, Fatemeh Zabihollahy, Nadia A. Farrag, Mohamed W. Elfaal, Nicola Schieda, Eranga Ukwatta:
Transfer learning based fully automated kidney segmentation on MR images. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c7]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. Image-Guided Procedures 2022 - 2021
- [c6]Jenita Manokaran, Fatemeh Zabihollahy, Andrew Hamilton-Wright, Eran Ukwatta:
Deep learning-based detection of COVID-19 from chest x-ray images. Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - 2020
- [j1]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: 8595-8602 (2020)
2010 – 2019
- 2019
- [c5]Fatemeh Zabihollahy, Aidan Lochbihler, Eranga Ukwatta:
Deep learning based approach for fully automated detection and segmentation of hard exudate from retinal images. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095308 - [c4]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. Computer-Aided Diagnosis 2019: 109503C - [c3]Fatemeh Zabihollahy, Eranga Ukwatta:
Fully-automated segmentation of optic disk from retinal images using deep learning techniques. Computer-Aided Diagnosis 2019: 1095032 - [c2]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. Digital Pathology 2019: 109560P - 2018
- [c1]Fatemeh Zabihollahy, James A. White, Eranga Ukwatta:
Myocardial scar segmentation from magnetic resonance images using convolutional neural network. Computer-Aided Diagnosis 2018: 105752Z
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