Search Results - "Echtioui, Amira"

Retinal fundus image classification for diabetic retinopathy using transfer learning technique by Kallel, Fathi, Echtioui, Amira

“…Diabetic Retinopathy (DR) stands as a primary cause of blindness across all age groups, attributed to insufficient blood supply to the retina, retinal vascular…”
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COVID-19 detection in CT and CXR images using deep learning models by Chouat, Ines, Echtioui, Amira, Khemakhem, Rafik, Zouch, Wassim, Ghorbel, Mohamed, Hamida, Ahmed Ben

“…Infectious diseases pose a threat to human life and could affect the whole world in a very short time. Corona-2019 virus disease (COVID-19) is an example of…”
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Classification of BCI Multiclass Motor Imagery Task Based on Artificial Neural Network by Echtioui, Amira, Zouch, Wassim, Ghorbel, Mohamed, Mhiri, Chokri, Hamam, Habib

“…Motor imagery (MI) signals recorded by electroencephalography provide the most practical basis for conceiving brain-computer interfaces (BCI). These interfaces…”
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MRI contrast enhancement using singular value decomposition and brightness preserving dynamic fuzzy histogram equalization applied to multiple sclerosis patients by Mnassri, Besma, Kallel, Fathi, Echtioui, Amira, Ben Hamida, Ahmed, Dammak, Mariem, Mhiri, Chokri

“…Multiple sclerosis (MS) is a neurological disease affecting the brain and spinal cord, which leads to several troubles such as numbness, memory problems, pain,…”
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A Novel Convolutional Neural Network Classification Approach of Motor-Imagery EEG Recording Based on Deep Learning by Echtioui, Amira, Mlaouah, Ayoub, Zouch, Wassim, Ghorbel, Mohamed, Mhiri, Chokri, Hamam, Habib

“…Recently, Electroencephalography (EEG) motor imagery (MI) signals have received increasing attention because it became possible to use these signals to encode…”
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Automated diabetic retinopathy screening using deep learning by Guefrachi, Sarra, Echtioui, Amira, Hamam, Habib

“…The purpose of this research is to propose a new method for identifying diabetic retinopathy using retinal fundus images. Currently, identifying diabetic…”
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Merged CNNs for the classification of EEG motor imagery signals by Echtioui, Amira, Zouch, Wassim, Ghorbel, Mohamed

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Comparative analysis of deep learning algorithms for seizure detection by Sagga, Dhouha, Echtioui, Amira, Kallel, Fathi

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Automated detection of COVID-19 based on transfer learning by Echtioui, Amira, Ayed, Yassine Ben

“…The world has recently experienced unprecedented disruptions due to the COVID-19 pandemic, which have greatly impacted daily life. Deep Learning (DL) is a…”
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Convolutional neural network with support vector machine for motor imagery EEG signal classification by Echtioui, Amira, Zouch, Wassim, Ghorbel, Mohamed, Mhiri, Chokri

“…Electroencephalography (EEG) motor imagery (MI) signals has recently attracted a great deal of attention as these signals encrypt a person's desire of…”
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Detection of COVID-19 from CT and Chest X-ray Images Using Deep Learning Models by Zouch, Wassim, Sagga, Dhouha, Echtioui, Amira, Khemakhem, Rafik, Ghorbel, Mohamed, Mhiri, Chokri, Hamida, Ahmed Ben

“…Coronavirus 2019 (COVID-19) is a highly transmissible and pathogenic virus caused by severe respiratory syndrome coronavirus 2 (SARS-CoV-2), which first…”
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Diabetic Retinopathy Detection Using Deep Learning Multistage Training Method by Guefrachi, Sarra, Echtioui, Amira, Hamam, Habib

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Detection Methods of COVID-19 by Echtioui, Amira, Zouch, Wassim, Ghorbel, Mohamed, Mhiri, Chokri, Hamam, Habib

“…Since being first detected in China, coronavirus disease 2019 (COVID-19) has spread rapidly across the world, triggering a global pandemic with no viable cure…”
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Epileptic Seizures Detection Using iEEG Signals and Deep Learning Models by Abderrahim, Nourane, Echtioui, Amira, Khemakhem, Rafik, Zouch, Wassim, Ghorbel, Mohamed, Ben Hamida, Ahmed

“…Epilepsy is a common neurological disorder that affects millions of people worldwide, and many patients do not respond well to traditional anti-epileptic…”
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New Contrast Enhancement Method for Multiple Sclerosis Lesion Detection by Mnassri, Besma, Echtioui, Amira, Kallel, Fathi, Ben Hamida, Ahmed, Dammak, Mariem, Mhiri, Chokri, Ben Mahfoudh, Kheireddine

“…Multiple sclerosis (MS) is one of the most serious neurological diseases. It is the most frequent reason of non-traumatic disability among young adults. MS is…”
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Skin Cancer Detection Based on Transfer Learning Techniques by Alrabai, Abdelkader, Echtioui, Amira, Kallel, Fathi

“…Skin cancer detection and classification are critical for early diagnosis and treatment, particularly with melanoma contributing significantly to global…”
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Explainable AI Framework for Alzheimer's Diagnosis Using Convolutional Neural Networks by Mansouri, Dhekra, Echtioui, Amira, Khemakhem, Rafik, Hamida, Ahmed Ben

“…Alzheimer's disease (AD) stands as a form of dementia characterized by the gradual degeneration of brain cells, resulting in compromised memory, cognitive…”
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Transfer Learning Models for MRI-Based Brain Tumor Detection by Berete, Moriba, Echtioui, Amira, Sellami, Lamia, Hamida, Ahmed Ben

“…Human health, especially brain health, is paramount for overall well-being. Magnetic Resonance Imaging (MRI) serves as a vital diagnostic tool for assessing…”
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Multiple Sclerosis Segmentation using Deep Learning Models : Comparative Study by Alrabai, Abdelkader, Echtioui, Amira, Hamida, Ahmed Ben

“…Central Nervous System (CNS) has directly been affected by many demyelination diseases. Multiple Sclerosis (MS) is one among these diseases. Such a series…”
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A Novel Ensemble Learning Approach for Classification of EEG Motor Imagery Signals by Echtioui, Amira, Zouch, Wassim, Ghorbel, Mohamed, Mhiri, Chokri, Hamam, Habib

“…Brain-Computer Interfaces (BCI) based on Motor Imagery (MI) extract commands in real time and can be used to control a cursor, wheelchair, robot or prosthesis…”
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