Aymen Mouelhi
Orcid: 0000-0002-6642-2594
According to our database1,
Aymen Mouelhi
authored at least 26 papers
between 2006 and 2024.
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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
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
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
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
Proceedings of the Image and Signal Processing - 8th International Conference, 2018
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
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