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Fadila Zerka

Showing results (1-10 of 9) with videos related to

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International Journal of Molecular Sciences|July 29, 2023
Systematic Review, Meta-Analysis and Radiomics Quality Score Assessment of CT Radiomics-Based Models Predicting Tumor EGFR Mutation Status in Patients with Non-Small-Cell Lung CancerMehdi Felfli, Yan Liu, Fadila Zerka, et al.
JCO Clinical Cancer Informatics|March 6, 2020
Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health CareFadila Zerka, Samir Barakat, Sean Walsh, et al.
Radiology. Artificial Intelligence|July 30, 2025
Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation StudyAshkan Moradi, Fadila Zerka, Joeran Sander Bosma, et al.
Computers in Biology and Medicine|August 7, 2021
Privacy preserving distributed learning classifiers - Sequential learning with small sets of dataFadila Zerka, Visara Urovi, Fabio Bottari, et al.
ERJ Open Research|May 5, 2022
An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneumonias on chest computed tomographyAkshayaa Vaidyanathan, Julien Guiot, Fadila Zerka, et al.
Medicinal Research Reviews|July 26, 2021
A review in radiomics: Making personalized medicine a reality via routine imagingJulien Guiot, Akshayaa Vaidyanathan, Louis Deprez, et al.
Diagnostics (Basel, Switzerland)|January 5, 2021
Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19Julien Guiot, Akshayaa Vaidyanathan, Louis Deprez, et al.
The British Journal of Radiology|February 27, 2020
Radiomics: from qualitative to quantitative imagingWilliam Rogers, Sithin Thulasi Seetha, Turkey A G Refaee, et al.
Scientific Reports|February 4, 2021
Deep learning for the fully automated segmentation of the inner ear on MRIAkshayaa Vaidyanathan, Marly F J A van der Lubbe, Ralph T H Leijenaar, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
International Journal of Molecular Sciences|July 29, 2023
Systematic Review, Meta-Analysis and Radiomics Quality Score Assessment of CT Radiomics-Based Models Predicting Tumor EGFR Mutation Status in Patients with Non-Small-Cell Lung CancerMehdi Felfli, Yan Liu, Fadila Zerka, et al.
JCO Clinical Cancer Informatics|March 6, 2020
Systematic Review of Privacy-Preserving Distributed Machine Learning From Federated Databases in Health CareFadila Zerka, Samir Barakat, Sean Walsh, et al.
Radiology. Artificial Intelligence|July 30, 2025
Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation StudyAshkan Moradi, Fadila Zerka, Joeran Sander Bosma, et al.
Computers in Biology and Medicine|August 7, 2021
Privacy preserving distributed learning classifiers - Sequential learning with small sets of dataFadila Zerka, Visara Urovi, Fabio Bottari, et al.
ERJ Open Research|May 5, 2022
An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneumonias on chest computed tomographyAkshayaa Vaidyanathan, Julien Guiot, Fadila Zerka, et al.
Medicinal Research Reviews|July 26, 2021
A review in radiomics: Making personalized medicine a reality via routine imagingJulien Guiot, Akshayaa Vaidyanathan, Louis Deprez, et al.
Diagnostics (Basel, Switzerland)|January 5, 2021
Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19Julien Guiot, Akshayaa Vaidyanathan, Louis Deprez, et al.
The British Journal of Radiology|February 27, 2020
Radiomics: from qualitative to quantitative imagingWilliam Rogers, Sithin Thulasi Seetha, Turkey A G Refaee, et al.
Scientific Reports|February 4, 2021
Deep learning for the fully automated segmentation of the inner ear on MRIAkshayaa Vaidyanathan, Marly F J A van der Lubbe, Ralph T H Leijenaar, et al.
Pageof 1