Ahmed E. Fetit

Orcid: 0000-0003-1199-1332

According to our database1, Ahmed E. Fetit authored at least 16 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Web-Based AI System for Medical Image Segmentation.
Proceedings of the Medical Image Understanding and Analysis - 27th Annual Conference, 2023

2022
Accurate segmentation of neonatal brain MRI with deep learning.
Frontiers Neuroinformatics, 2022

Reducing CNN Textural Bias With k-Space Artifacts Improves Robustness.
IEEE Access, 2022

How Effective is Adversarial Training of CNNs in Medical Image Analysis?
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

2021
Reducing Textural Bias Improves Robustness of Deep Segmentation Models.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

2020
Reducing Textural Bias Improves Robustness of Deep Segmentation CNNs.
CoRR, 2020

Retinal Biomarkers Discovery for Cerebral Small Vessel Disease in an Older Population.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

Training deep segmentation networks on texture-encoded input: application to neuroimaging of the developing neonatal brain.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

A deep learning approach to segmentation of the developing cortex in fetal brain MRI with minimal manual labeling.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

2018
XmoNet: A Fully Convolutional Network for Cross-Modality MR Image Inference.
Proceedings of the PRedictive Intelligence in MEdicine - First International Workshop, 2018

2017
Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population.
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

2015
3D Texture Analysis of Heterogeneous MRI Data for Diagnostic Classification of Childhood Brain Tumours.
Proceedings of the Enabling Health Informatics Applications [ICIMTH 2015, 2015

An Extensible Neuroimaging e-Repository for Clinical Trials of Paediatric Brain Tumours.
Proceedings of the Enabling Health Informatics Applications [ICIMTH 2015, 2015

#DigitalHealth: Exploring Users' Perspectives through Social Media Analysis.
Proceedings of the Enabling Health Informatics Applications [ICIMTH 2015, 2015

2014
3D texture analysis of MR images to improve classification of paediatric brain tumours: a preliminary study.
Proceedings of the Integrating Information Technology and Management for Quality of Care [ICIMTH 2014, 2014

2013
MRI Texture Analysis in Paediatric Oncology: A Preliminary Study.
Proceedings of the Informatics, 2013


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