Aymen Mouelhi

Orcid: 0000-0002-6642-2594

According to our database1, Aymen Mouelhi authored at least 26 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
A machine learning approach for multiple sclerosis diagnosis through Detecron Architecture.
Multim. Tools Appl., April, 2024

2023
Reconstruction-Segmentation Path for Fire and Smoke Detection in Video Surveillance Images.
Proceedings of the International Conference on Cyberworlds, 2023

Flying Objects Classification Using Trajectory Characterization.
Proceedings of the 9th International Conference on Control, 2023

2022
Hybrid fuzzy level set approach for multiple sclerosis lesions assessment in magnetic resonance brain images.
Int. J. Model. Identif. Control., 2022

2021
Brain MRI monitoring approach of lesion progress in multiple sclerosis using active contours.
Int. J. Model. Identif. Control., 2021

A neural adaptive level set method for wildland forest fire tracking.
Int. J. Comput. Appl. Technol., 2021

2020
DBN-DNN: discrimination and classification of VNG sequence using deep neural network framework in the EMD domain.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020

A deep convolutional neural network for automated vestibular disorder classification using VNG analysis.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020

Predictive Approach of Multiple Sclerosis MR-Lesions Evolution based on Chaotic Attributes.
Proceedings of the 7th International Conference on Control, 2020

Nuclei Segmentation Approach for Digestive Neuroendocrine Tumors Analysis Using optimized Color Space Conversion.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

Computerized Image Segmentation of Multiple Sclerosis Lesions Using Fuzzy Level Set Model.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

2019
Automatic identification and behavioral analysis of phlebotomine sand flies using trajectory features.
Vis. Comput., 2019

2018
Fast unsupervised nuclear segmentation and classification scheme for automatic allred cancer scoring in immunohistochemical breast tissue images.
Comput. Methods Programs Biomed., 2018

An advanced intelligent ELISA test for bovine tuberculosis diagnosis.
Biomed. Signal Process. Control., 2018

Discriminant Textural Feature Selection and Classification for a Computerized Fetal Hydrocephalus Detection.
Proceedings of the IEEE International Conference on Image Processing, 2018

Human Dendritic Cells Segmentation Based on K-Means and Active Contour.
Proceedings of the Image and Signal Processing - 8th International Conference, 2018

Brief review of partial volume corrections in PET/CT for lung cancer assessment.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

2017
A new preprocessing parameter estimation based on geodesic active contour model for automatic vestibular neuritis diagnosis.
Artif. Intell. Medicine, 2017

2016
Automated nuclei segmentation approach based on mathematical morphology for cancer scoring in breast tissue images.
Int. Arab J. Inf. Technol., 2016

A novel automatic diagnostic approach based on nystagmus feature selection and neural network classification.
Proceedings of the IECON 2016, 2016

Features extraction for medical characterization of nystagmus.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

2015
Linear feature selection and classification using PNN and SFAM neural networks for a nearly online diagnosis of bearing naturally progressing degradations.
Eng. Appl. Artif. Intell., 2015

2014
A novel morphological segmentation method for evaluating estrogen receptors' status in breast tissue images.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

2013
A new automatic image analysis method for assessing estrogen receptors' status in breast tissue specimens.
Comput. Biol. Medicine, 2013

Automatic image segmentation of nuclear stained breast tissue sections using color active contour model and an improved watershed method.
Biomed. Signal Process. Control., 2013

2006
Accelerating the Multilayer Perceptron Learning with the Davidon Fletcher Powell Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2006


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