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ORCIDAmira Echtioui
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2020 – today
- 2024
[j8]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): 1597-1626 (2024)- [j7]Amira Echtioui, Yassine Ben Ayed:
Automated detection of COVID-19 based on transfer learning. Multim. Tools Appl. 83(11): 33731-33751 (2024) - [j6]Sarra Guefrachi, Amira Echtioui, Habib Hamam:
Automated diabetic retinopathy screening using deep learning. Multim. Tools Appl. 83(24): 65249-65266 (2024) - [j5]Fathi Kallel, Amira Echtioui:
Retinal fundus image classification for diabetic retinopathy using transfer learning technique. Signal Image Video Process. 18(2): 1143-1153 (2024) - [j4]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): 444 (2024) - [c15]Abdelkader Alrabai, Amira Echtioui, Fathi Kallel:
Skin Cancer Detection Based on Transfer Learning Techniques. ATSIP 2024: 8-13 - [c14]Moriba Bérété, Amira Echtioui, Lamia Sellami, Ahmed Ben Hamida:
Transfer Learning Models for MRI-Based Brain Tumor Detection. ATSIP 2024: 14-19 - [c13]Dhekra Mansouri, Amira Echtioui, Rafik Khemakhem, Ahmed Ben Hamida:
Explainable AI Framework for Alzheimer's Diagnosis Using Convolutional Neural Networks. ATSIP 2024: 93-98 - 2023
- [j3]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): 468-485 (2023) - [j2]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): 45891-45911 (2023) - [j1]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): 2035-2043 (2023) - 2022
- [c12]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: 1-5 - [c11]Abdelkader Alrabai, Amira Echtioui, Ahmed Ben Hamida:
Multiple Sclerosis Segmentation using Deep Learning Models : Comparative Study. ATSIP 2022: 1-6 - [c10]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: 1-4 - [c9]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: 1-6 - [c8]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: 1-5 - [c7]Dhouha Sagga, Amira Echtioui, Rafik Khemakhem, Fathi Kallel, Ahmed Ben Hamida:
Epileptic Seizures Detection on EEG Signal Using Deep Learning Techniques. ATSIP 2022: 1-6 - [c6]Wassim Zouch, Amira Echtioui:
EEG Motor Imagery Classification using Fusion Convolutional Neural Network. ICAART (1) 2022: 548-553 - [c5]Marwa Kahia, Amira Echtioui, Fathi Kallel, Ahmed Ben Hamida:
Skin Cancer Classification using Deep Learning Models. ICAART (1) 2022: 554-559 - 2021
- [c4]Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Chokri Mhiri, Habib Hamam:
Multi-class Motor Imagery EEG Classification using Convolution Neural Network. ICAART (1) 2021: 591-595 - [c3]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: 1642-1647 - [c2]Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Chokri Mhiri, Habib Hamam:
A Novel Ensemble Learning Approach for Classification of EEG Motor Imagery Signals. IWCMC 2021: 1648-1653 - 2020
- [c1]Amira Echtioui, Wassim Zouch, Mohamed Ghorbel, Mohamed Ben Slima, Ahmed Ben Hamida, Chokri Mhiri:
Automated EEG Artifact Detection Using Independent Component Analysis. ATSIP 2020: 1-5
Coauthor Index
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