Amira Echtioui

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Contrast Enhancement

Multiple Sclerosis

Top Venues

Multim. Tools Appl.

Signal Image Video Process.

Publications

Amira Echtioui, Yassine Ben Ayed
Automated detection of COVID-19 based on transfer learning. Multim. Tools Appl. 83 (11) (2024)
Sarra Guefrachi, Amira Echtioui, Habib Hamam
Automated diabetic retinopathy screening using deep learning. Multim. Tools Appl. 83 (24) (2024)
Fathi Kallel, Amira Echtioui
Retinal fundus image classification for diabetic retinopathy using transfer learning technique. Signal Image Video Process. 18 (2) (2024)
Nourane Abderrahim, Amira Echtioui, Rafik Khemakhem, Wassim Zouch, Mohamed Ghorbel, Ahmed Ben Hamida
Epileptic Seizures Detection Using iEEG Signals and Deep Learning Models. Circuits Syst. Signal Process. 43 (3) (2024)
Rafik Khemakhem, Sana Belgacem, Amira Echtioui, Mohamed Ghorbel, Ahmed Ben Hamida, Inès Kammoun
Multi-class Classification of Motor Imagery EEG Signals Using Deep Learning Models. SN Comput. Sci. 5 (5) (2024)
Besma Mnassri, Fathi Kallel, Amira Echtioui, Ahmed Ben Hamida, Mariem Dammak, Chokri Mhiri
MRI contrast enhancement using singular value decomposition and brightness preserving dynamic fuzzy histogram equalization applied to multiple sclerosis patients. Signal Image Video Process. 17 (5) (2023)
Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Chokri Mhiri
Convolutional neural network with support vector machine for motor imagery EEG signal classification. Multim. Tools Appl. 82 (29) (2023)
Besma Mnassri, Amira Echtioui, Fathi Kallel, Ahmed Ben Hamida, Mariem Dammak, Chokri Mhiri, Kheireddine Ben Mahfoudh
New Contrast Enhancement Method for Multiple Sclerosis Lesion Detection. J. Digit. Imaging 36 (2) (2023)
Marwa Kahia, Amira Echtioui, Fathi Kallel, Ahmed Ben Hamida
Skin Cancer Classification using Deep Learning Models. ICAART (1) (2022)
Dhouha Sagga, Amira Echtioui, Rafik Khemakhem, Fathi Kallel, Ahmed Ben Hamida
Epileptic Seizures Detection on EEG Signal Using Deep Learning Techniques. ATSIP (2022)
Nourane Abderrahim, Amira Echtioui, Rafik Khemakhem, Wassim Zouch, Mohamed Ghorbel, Inès Kammoun, Ahmed Ben Hamida
Deep Learning for Seizure Prediction Using Intracranial Electroencephalogram. ATSIP (2022)
Abdelkader Alrabai, Amira Echtioui, Ahmed Ben Hamida
Multiple Sclerosis Segmentation using Deep Learning Models : Comparative Study. ATSIP (2022)
Wassim Zouch, Amira Echtioui
EEG Motor Imagery Classification using Fusion Convolutional Neural Network. ICAART (1) (2022)
Ines Chouat, Amira Echtioui, Rafik Khemakhem, Wassim Zouch, Mohamed Ghorbel, Ahmed Ben Hamida
Lung Disease Detection in Chest X-ray Images Using Transfer Learning. ATSIP (2022)
Sana Belgacem, Amira Echtioui, Rafik Khemakhem, Wassim Zouch, Mohamed Ghorbel, Inès Kammoun, Ahmed Ben Hamida
Deep Learning Models for Classification of Motor Imagery EEG Signals. ATSIP (2022)
Besma Mnassri, Amira Echtioui, Fathi Kallel, Mariem Dammak, Chokri Mhiri, Ahmed Ben Hamida
Image Enhancement Techniques Applied to Magnetic Resonance Images: Multiple sclerosis. ATSIP (2022)
Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Chokri Mhiri, Habib Hamam
Fusion Convolutional Neural Network for Multi-Class Motor Imagery of EEG Signals Classification. IWCMC (2021)
Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Chokri Mhiri, Habib Hamam
A Novel Ensemble Learning Approach for Classification of EEG Motor Imagery Signals. IWCMC (2021)
Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Chokri Mhiri, Habib Hamam
Multi-class Motor Imagery EEG Classification using Convolution Neural Network. ICAART (1) (2021)
Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Mohamed Ben Slima, Ahmed Ben Hamida, Chokri Mhiri
Automated EEG Artifact Detection Using Independent Component Analysis. ATSIP (2020)