Amira Echtioui

According to our database, Amira Echtioui authored at least 23 papers between 2020 and 2024.

Collaborative distances:

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

2024

Automated diabetic retinopathy screening using deep learning.

Sarra Guefrachi, Amira Echtioui, Habib Hamam

Multim. Tools Appl., July, 2024

Multi-class Classification of Motor Imagery EEG Signals Using Deep Learning Models.

Rafik Khemakhem, Sana Belgacem, Amira Echtioui, Mohamed Ghorbel, Ahmed Ben Hamida, Inès Kammoun

SN Comput. Sci., June, 2024

Automated detection of COVID-19 based on transfer learning.

Amira Echtioui, Yassine Ben Ayed

Multim. Tools Appl., March, 2024

Epileptic Seizures Detection Using iEEG Signals and Deep Learning Models.

Nourane Abderrahim, Amira Echtioui, Rafik Khemakhem, Wassim Zouch, Mohamed Ghorbel, Ahmed Ben Hamida

Circuits Syst. Signal Process., March, 2024

Retinal fundus image classification for diabetic retinopathy using transfer learning technique.

Fathi Kallel, Amira Echtioui

Signal Image Video Process., 2024

Explainable AI Framework for Alzheimer's Diagnosis Using Convolutional Neural Networks.

Dhekra Mansouri, Amira Echtioui, Rafik Khemakhem, Ahmed Ben Hamida

Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

Transfer Learning Models for MRI-Based Brain Tumor Detection.

Moriba Bérété, Amira Echtioui, Lamia Sellami, Ahmed Ben Hamida

Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

Skin Cancer Detection Based on Transfer Learning Techniques.

Abdelkader Alrabai, Amira Echtioui, Fathi Kallel

Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

2023

Convolutional neural network with support vector machine for motor imagery EEG signal classification.

Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Chokri Mhiri

Multim. Tools Appl., December, 2023

MRI contrast enhancement using singular value decomposition and brightness preserving dynamic fuzzy histogram equalization applied to multiple sclerosis patients.

Besma Mnassri, Fathi Kallel, Amira Echtioui, Ahmed Ben Hamida, Mariem Dammak, Chokri Mhiri

Signal Image Video Process., July, 2023

New Contrast Enhancement Method for Multiple Sclerosis Lesion Detection.

Besma Mnassri, Amira Echtioui, Fathi Kallel, Ahmed Ben Hamida, Mariem Dammak, Chokri Mhiri, Kheireddine Ben Mahfoudh

J. Digit. Imaging, April, 2023

2022

EEG Motor Imagery Classification using Fusion Convolutional Neural Network.

Wassim Zouch, Amira Echtioui

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Skin Cancer Classification using Deep Learning Models.

Marwa Kahia, Amira Echtioui, Fathi Kallel, Ahmed Ben Hamida

Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Epileptic Seizures Detection on EEG Signal Using Deep Learning Techniques.

Dhouha Sagga, Amira Echtioui, Rafik Khemakhem, Fathi Kallel, Ahmed Ben Hamida

Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

Image Enhancement Techniques Applied to Magnetic Resonance Images: Multiple sclerosis.

Besma Mnassri, Amira Echtioui, Fathi Kallel, Mariem Dammak, Chokri Mhiri, Ahmed Ben Hamida

Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

Lung Disease Detection in Chest X-ray Images Using Transfer Learning.

Ines Chouat, Amira Echtioui, Rafik Khemakhem, Wassim Zouch, Mohamed Ghorbel, Ahmed Ben Hamida

Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

Deep Learning Models for Classification of Motor Imagery EEG Signals.

Sana Belgacem, Amira Echtioui, Rafik Khemakhem, Wassim Zouch, Mohamed Ghorbel, Inès Kammoun, Ahmed Ben Hamida

Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

Multiple Sclerosis Segmentation using Deep Learning Models : Comparative Study.

Abdelkader Alrabai, Amira Echtioui, Ahmed Ben Hamida

Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

Deep Learning for Seizure Prediction Using Intracranial Electroencephalogram.

Nourane Abderrahim, Amira Echtioui, Rafik Khemakhem, Wassim Zouch, Mohamed Ghorbel, Inès Kammoun, Ahmed Ben Hamida

Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

2021

A Novel Ensemble Learning Approach for Classification of EEG Motor Imagery Signals.

Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Chokri Mhiri, Habib Hamam

Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

Fusion Convolutional Neural Network for Multi-Class Motor Imagery of EEG Signals Classification.

Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Chokri Mhiri, Habib Hamam

Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

Multi-class Motor Imagery EEG Classification using Convolution Neural Network.

Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Chokri Mhiri, Habib Hamam

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020

Automated EEG Artifact Detection Using Independent Component Analysis.

Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Mohamed Ben Slima, Ahmed Ben Hamida, Chokri Mhiri

Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020