Mohamed Chetoui

Orcid: 0000-0003-4399-7771

According to our database1, Mohamed Chetoui authored at least 9 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Peer-to-Peer Federated Learning for COVID-19 Detection Using Transformers.
Comput., 2023

2021
Explainable COVID-19 Detection on Chest X-rays Using an End-to-End Deep Convolutional Neural Network Architecture.
Big Data Cogn. Comput., 2021

Efficient Deep Neural Network for an Automated Detection of COVID-19 using CT images.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Deep Efficient Neural Networks for Explainable COVID-19 Detection on CXR Images.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

Automated Detection of COVID-19 Cases using Recent Deep Convolutional Neural Networks and CT images<sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Deep Retinal Diseases Detection and Explainability Using OCT Images.
Proceedings of the Image Analysis and Recognition - 17th International Conference, 2020

Explainable Diabetic Retinopathy using EfficientNET<sup>*</sup>.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Explainable Deep Learning for Referable Diabetic Retinopathy.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020

2018
Diabetic Retinopathy Detection Using Machine Learning and Texture Features.
Proceedings of the 2018 IEEE Canadian Conference on Electrical & Computer Engineering, 2018


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