Mohamed Ben Slima

According to our database1, Mohamed Ben Slima authored at least 32 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
An XAI-Infused Multiclass MRI Brain Tumor Classification using Deep Transfert Learning (DTL).
Proceedings of the 10th International Conference on Control, 2024

Deep Learning Approaches for Dermoscopic Image-Based Skin Cancer Diagnosis.
Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

Review of MRI brain tumor segmentation and MGMT promoter classification methods on BraTs dataset based on Deep learning.
Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

2023
Deep efficient-nets with transfer learning assisted detection of COVID-19 using chest X-ray radiology imaging.
Multim. Tools Appl., October, 2023

Deep Transfer Learning (DTL) Based-Framework for an Accurate Multi-classification of MRI Brain Tumors.
Proceedings of the International Conference on Cyberworlds, 2023

2022
Computer Aided Diagnosis (CAD) tool for MS lesions exploration In multimodal brain MRI.
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

Review of Computer Aided-Diagnosis (CAD) Systems for MRI Gliomas brain tumors explorations based on Machine Learning and Deep learning.
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

2021
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., 2021

Deep Convolutional Encoder-Decoder algorithm for MRI brain reconstruction.
Medical Biol. Eng. Comput., 2021

2020
Deep Multi-Scale 3D Convolutional Neural Network (CNN) for MRI Gliomas Brain Tumor Classification.
J. Digit. Imaging, 2020

Face Emotion Recognition From Static Image Based on Convolution Neural Networks.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Glioblastomas brain Tumor Segmentation using Optimized U-Net based on Deep Fully Convolutional Networks (D-FCNs).
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Automated EEG Artifact Detection Using Independent Component Analysis.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

2019
Bispectral analysis-based approach for steady-state visual evoked potentials detection.
Multim. Tools Appl., 2019

Advanced methodology for multiple sclerosis lesion exploring: Towards a computer aided diagnosis system.
Biomed. Signal Process. Control., 2019

2018
Multiple sclerosis exploration based on automatic MRI modalities segmentation approach with advanced volumetric evaluations for essential feature extraction.
Biomed. Signal Process. Control., 2018

Histogram equalization-based techniques for contrast enhancement of MRI brain Glioma tumor images: Comparative study.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

Comparative study of supervised and unsupervised classification methods: Application to automatic MRI glioma brain tumors segmentation.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

2017
Damage detection in structural health monitoring using kernel PLS based GLR.
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017

Fault detection in a wastewater treatment plant.
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017

Fault detection of chemical processes using KPCA-based GLRT technique.
Proceedings of the 2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2017

2015
High-resolution imaging-guided electroencephalography source localization: temporal effect regularization incorporation in LORETA inverse solution.
J. Electronic Imaging, 2015

2014
Factor analysis-based approach for early uptake automatic quantification of breast cancer by <sup>18</sup>F-FDG PET images sequence.
Biomed. Signal Process. Control., 2014

Multi-slices breast ultrasound lesion segmentation using Multi-Scale Vector Field Convolution snake.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

A computer aided diagnosis 'CAD' for brain glioma exploration.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

Advanced approach for PET breast cancer segmentation based on FAMIS methodology.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

2006
Three-Level Hysteresis Power Control for Pulse-Density-Modulated Series Resonant Converters.
Proceedings of the Canadian Conference on Electrical and Computer Engineering, 2006

PDM Control Optimisation Applied to an AC/AC Converter Using an Improved Genetic Algorithm.
Proceedings of the Canadian Conference on Electrical and Computer Engineering, 2006

2000
Algorithmic specification of a specialized processor for spectrometric applications.
IEEE Trans. Instrum. Meas., 2000

Signal processing support for the evaluation of blood toxic oxidation activity.
IEEE Trans. Instrum. Meas., 2000

1999
Calibration of a microwave system for measuring grain moisture content.
IEEE Trans. Instrum. Meas., 1999

1997
Improvement of stereo disparity estimation through balanced filtering: the sliding-block approach.
IEEE Trans. Circuits Syst. Video Technol., 1997


  Loading...