Zahinoor Ismail

According to our database, Zahinoor Ismail authored at least 8 papers between 2019 and 2024.

Collaborative distances:

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

2024

A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigm.

Raissa Souza, Emma A. M. Stanley, Milton Camacho, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert

Frontiers Artif. Intell., 2024

Do Sites Benefit Equally from Distributed Learning in Medical Image Analysis?

Raissa Souza, Emma A. M. Stanley, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert

Proceedings of the Ethics and Fairness in Medical Imaging, 2024

2023

Simulation of neuroplasticity in a CNN-based in-silico model of neurodegeneration of the visual system.

Jasmine A. Moore, Matthias Wilms, Alejandro Gutierrez, Zahinoor Ismail, Kayson Fakhar, Fatemeh Hadaeghi, Claus C. Hilgetag, Nils D. Forkert

Frontiers Comput. Neurosci., February, 2023

Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System.

Jasmine A. Moore, Anup Tuladhar, Zahinoor Ismail, Pauline Mouches, Matthias Wilms, Nils D. Forkert

Neuroinformatics, January, 2023

2022

Simulating progressive neurodegeneration in silico with deep artificial neural networks.

Anup Tuladhar, Jasmine A. Moore, Zahinoor Ismail, Nils D. Forkert

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021

Modeling Neurodegeneration in silico With Deep Learning.

Anup Tuladhar, Jasmine A. Moore, Zahinoor Ismail, Nils D. Forkert

Frontiers Neuroinformatics, 2021

2020

Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling.

Anup Tuladhar, Sascha Gill, Zahinoor Ismail, Nils D. Forkert, Alzheimer's Disease Neuroimaging Initiative

J. Biomed. Informatics, 2020

2019

Testing a deep convolutional neural network for automated hippocampus segmentation in a longitudinal sample of healthy participants.

Nikita Nogovitsyn, Roberto Souza, Meghan Muller, Amelia Srajer, Stefanie Hassel, Stephen R. Arnott, Andrew D. Davis, Geoffrey B. C. Hall, Jacqueline K. Harris, Mojdeh Zamyadi, Paul D. Metzak, Zahinoor Ismail, Signe L. Bray, Catherine Lebel, Jean M. Addington, Roumen Milev, Kate L. Harkness, Benicio N. Frey, Glenda M. MacQueen

NeuroImage, 2019