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Mohamed Ben Slima
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2020 – today
- 2024
- [c19]Khouloud Elbedoui, Hiba Mzoughi, Mohamed Ben Slima:
Deep Learning Approaches for Dermoscopic Image-Based Skin Cancer Diagnosis. ATSIP 2024: 1-7 - [c18]Feriel Amor, Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima:
Review of MRI brain tumor segmentation and MGMT promoter classification methods on BraTs dataset based on Deep learning. ATSIP 2024: 249-254 - [c17]Hana Charaabi, Amal Sayari, Ridha El Hamdi, Mohamed Njah, Mohamed Ben Slima:
An XAI-Infused Multiclass MRI Brain Tumor Classification using Deep Transfert Learning (DTL). CoDIT 2024: 1044-1049 - 2023
- [j13]Hiba Mzoughi
, Ines Njeh, Mohamed Ben Slima, Ahmed BenHamida:
Deep efficient-nets with transfer learning assisted detection of COVID-19 using chest X-ray radiology imaging. Multim. Tools Appl. 82(25): 39303-39325 (2023) - [c16]Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Nouha Farhat, Chokri Mhiri:
Deep Transfer Learning (DTL) Based-Framework for an Accurate Multi-classification of MRI Brain Tumors. CW 2023: 86-93 - 2022
- [c15]Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida:
Review of Computer Aided-Diagnosis (CAD) Systems for MRI Gliomas brain tumors explorations based on Machine Learning and Deep learning. ATSIP 2022: 1-6 - [c14]Marwa Nass, Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed BenHamida:
Computer Aided Diagnosis (CAD) tool for MS lesions exploration In multimodal brain MRI. ATSIP 2022: 1-6 - 2021
- [j12]Ines Njeh
Deep Convolutional Encoder-Decoder algorithm for MRI brain reconstruction. Medical Biol. Eng. Comput. 59(7-8): 85-106 (2021) - [j11]Hiba Mzoughi
Towards a computer aided diagnosis (CAD) for brain MRI glioblastomas tumor exploration based on a deep convolutional neuronal networks (D-CNN) architectures. Multim. Tools Appl. 80(1): 899-919 (2021) - 2020
- [j10]Hiba Mzoughi
Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification. J. Digit. Imaging 33(4): 903-915 (2020) - [c13]Amira Echtioui
Automated EEG Artifact Detection Using Independent Component Analysis. ATSIP 2020: 1-5 - [c12]Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida:
Glioblastomas brain Tumor Segmentation using Optimized U-Net based on Deep Fully Convolutional Networks (D-FCNs). ATSIP 2020: 1-6 - [c11]M. A. Nasri, Mohamed Amine Hmani, Aymen Mtibaa, Dijana Petrovska-Delacrétaz, Mohamed Ben Slima, Ahmed Ben Hamida:
Face Emotion Recognition From Static Image Based on Convolution Neural Networks. ATSIP 2020: 1-6
2010 – 2019
- 2019
- [j9]Olfa Ghribi
Advanced methodology for multiple sclerosis lesion exploring: Towards a computer aided diagnosis system. Biomed. Signal Process. Control. 49: 274-288 (2019) - [j8]Omar Trigui
Bispectral analysis-based approach for steady-state visual evoked potentials detection. Multim. Tools Appl. 78(10): 12865-12882 (2019) - 2018
- [j7]Olfa Ghribi, Lamia Sellami, Mohamed Ben Slima, Chokri Mhiri, Mariem Dammak, Ahmed Ben Hamida:
Multiple sclerosis exploration based on automatic MRI modalities segmentation approach with advanced volumetric evaluations for essential feature extraction. Biomed. Signal Process. Control. 40: 473-487 (2018) - [c10]Aymen Bougacha, Jihene Boughariou, Mohamed Ben Slima, Ahmed Ben Hamida, Khaireddine Ben Mahfoudh, Omar Kammoun, Chokri Mhiri:
Comparative study of supervised and unsupervised classification methods: Application to automatic MRI glioma brain tumors segmentation. ATSIP 2018: 1-5 - [c9]Hiba Mzoughi, Ines Njeh, Mohamed Ben Slima, Ahmed Ben Hamida:
Histogram equalization-based techniques for contrast enhancement of MRI brain Glioma tumor images: Comparative study. ATSIP 2018: 1-6 - 2017
- [c8]Raoudha Baklouti, Majdi Mansouri
Fault detection of chemical processes using KPCA-based GLRT technique. ATSIP 2017: 1-6 - [c7]Imen Baklouti, Majdi Mansouri
Fault detection in a wastewater treatment plant. ATSIP 2017: 1-5 - [c6]Marwa Chaabane
Damage detection in structural health monitoring using kernel PLS based GLR. ATSIP 2017: 1-5 - 2015
- [j6]Jihene Boughariou, Wassim Zouch
High-resolution imaging-guided electroencephalography source localization: temporal effect regularization incorporation in LORETA inverse solution. J. Electronic Imaging 24(6): 061204 (2015) - 2014
- [j5]Ines Ketata, Lamia Sallemi, Frédéric Morain-Nicolier, Mohamed Ben Slima, Alexandre Cochet, Khalil Chtourou, Su Ruan
Factor analysis-based approach for early uptake automatic quantification of breast cancer by 18F-FDG PET images sequence. Biomed. Signal Process. Control. 9: 19-31 (2014) - [c5]Olfa Ben Sassi, Lamia Sellami, Mohamed Ben Slima, Ahmed Ben Hamida, Khalil Chtourou:
Multi-slices breast ultrasound lesion segmentation using Multi-Scale Vector Field Convolution snake. ATSIP 2014: 188-192 - [c4]Ines Ketata, Lamia Sallemi, Mohamed Ben Slima, Ahmed Ben Hamida, Frédéric Morain-Nicolier, Su Ruan
Advanced approach for PET breast cancer segmentation based on FAMIS methodology. ATSIP 2014: 219-224 - [c3]Ines Njeh, Lamia Sallemi, Mohamed Ben Slima, Ahmed Ben Hamida, Stéphane Lehéricy, Damien Galanaud:
A computer aided diagnosis 'CAD' for brain glioma exploration. ATSIP 2014: 243-248
2000 – 2009
- 2006
- [c2]H. Benkaci Ali, Ahmed Chériti, Mohammed Ben Slima, Abdelhalim Sandali:
PDM Control Optimisation Applied to an AC/AC Converter Using an Improved Genetic Algorithm. CCECE 2006: 2232-2236 - [c1]Demian Pimentel, Ahmed Chériti, Mohammed Ben Slima:
Three-Level Hysteresis Power Control for Pulse-Density-Modulated Series Resonant Converters. CCECE 2006: 2237-2240 - 2000
- [j4]Andrzej Barwicz, Mohamed Ben Slima, Joanna Barwicz, Pierre Tancrede:
Signal processing support for the evaluation of blood toxic oxidation activity. IEEE Trans. Instrum. Meas. 49(3): 541-545 (2000) - [j3]Mohamed Ben Slima, Leszek Szczecinski, Daniel Massicotte, Roman Z. Morawski
Algorithmic specification of a specialized processor for spectrometric applications. IEEE Trans. Instrum. Meas. 49(6): 1224-1230 (2000)
1990 – 1999
- 1999
- [j2]Mohamed Ben Slima, Roman Z. Morawski
Calibration of a microwave system for measuring grain moisture content. IEEE Trans. Instrum. Meas. 48(3): 778-783 (1999) - 1997
- [j1]Mohamed Ben Slima, Janusz Konrad, Andrzej Barwicz:
Improvement of stereo disparity estimation through balanced filtering: the sliding-block approach. IEEE Trans. Circuits Syst. Video Technol. 7(6): 913-920 (1997)
Coauthor Index
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