Chokri Mhiri

According to our database1, Chokri Mhiri authored at least 27 papers between 2014 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Convolutional neural network with support vector machine for motor imagery EEG signal classification.
Multim. Tools Appl., December, 2023

MRI contrast enhancement using singular value decomposition and brightness preserving dynamic fuzzy histogram equalization applied to multiple sclerosis patients.
Signal Image Video Process., July, 2023

A channel-wise attention-based representation learning method for epileptic seizure detection and type classification.
J. Ambient Intell. Humaniz. Comput., July, 2023

An accurate spinal cord partition and quantification method to monitor atrophy in multiple sclerosis.
Signal Image Video Process., April, 2023

New Contrast Enhancement Method for Multiple Sclerosis Lesion Detection.
J. Digit. Imaging, April, 2023

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

A new online Arabic handwriting dataset for analyzing Parkinson's disease.
Proceedings of the International Conference on Cyberworlds, 2023

2022
Removal of eye blink artifacts from EEG signal using morphological modeling and orthogonal projection.
Signal Image Video Process., 2022

Image Enhancement Techniques Applied to Magnetic Resonance Images: Multiple sclerosis.
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

Combination of Volumetric and Topologic Brain Characteristics Towards a Diagnosis of Alzheimer's Disease in his Earlier Stage.
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

A Novel Ensemble Learning Approach for Classification of EEG Motor Imagery Signals.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

Fusion Convolutional Neural Network for Multi-Class Motor Imagery of EEG Signals Classification.
Proceedings of the 17th International Wireless Communications and Mobile Computing, 2021

Multi-class Motor Imagery EEG Classification using Convolution Neural Network.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020
Spinal cord MRI contrast enhancement using adaptive gamma correction for patient with multiple sclerosis.
Signal Image Video Process., 2020

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

SSVEP Enhancement Using Moving Average Filter Controlled by Phase Features.
Comput. Intell. Neurosci., 2020

Contrast-Enhanced Image Analysis for MRI Based Multiple Sclerosis Lesion Segmentation.
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

The Effect of 3d-Mri Modalities Mixture in Glioma Delimitation.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

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

A comparative study of MRI contrast enhancement techniques based on Traditional Gamma Correction and Adaptive Gamma Correction: Case of multiple sclerosis pathology.
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

Glioblastoma MRT exploration based on segmentation methods' comparison: Towards an advanced clinical aided tool.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

2014
Brief review of multiple sclerosis lesions segmentation methods on conventional magnetic resonance imaging.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014


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