Aymen Mouelhi

发表

A novel automatic diagnostic approach based on nystagmus feature selection and neural network classification

Amine Ben Slama, Aymen Mouelhi, Hanene Sahli, 2016, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society.

Predictive Approach of Multiple Sclerosis MR-Lesions Evolution based on Chaotic Attributes

Aymen Mouelhi, Chaima Dachraoui, Cyrine Drissi, 2020, 2020 7th International Conference on Control, Decision and Information Technologies (CoDIT).

Application of feature reduction techniques for automatic bearing degradation assessment

Brigitte Chebel-Morello, Aymen Mouelhi, Farhat Fnaiech, 2014, 2014 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM).

Automatic identification and behavioral analysis of phlebotomine sand flies using trajectory features

Aymen Mouelhi, Mounir Sayadi, Ahmed Nejmedine Machraoui, 2018, The Visual Computer.

Discriminant Textural Feature Selection and Classification for a Computerized Fetal Hydrocephalus Detection

Aymen Mouelhi, Hanene Sahli, Mounir Sayadi, 2018, 2018 IEEE International Conference on Image Processing, Applications and Systems (IPAS).

Brief review of partial volume corrections in PET/CT for lung cancer assessment

Aymen Mouelhi, Mounir Sayadi, Salam Labidi, 2018, 2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

Author's Personal Copy Biomedical Signal Processing and Control Automatic Image Segmentation of Nuclear Stained Breast Tissue Sections Using Color Active Contour Model and an Improved Watershed Method

Aymen Mouelhi, Mounir Sayadi, Farhat Fnaiech, 2022 .

Automated nuclei segmentation approach based on mathematical morphology for cancer scoring in breast tissue images

Aymen Mouelhi, Mounir Sayadi, Farhat Fnaiech, 2016, Int. Arab J. Inf. Technol..

A new automatic image analysis method for assessing estrogen receptors' status in breast tissue specimens

Aymen Mouelhi, Mounir Sayadi, Farhat Fnaiech, 2013, Comput. Biol. Medicine.

Supervised classification approach of biometric measures for automatic fetal defect screening in head ultrasound images

Aymen Mouelhi, Hanene Sahli, Mounir Sayadi, 2019, Journal of medical engineering & technology.

Fast image segmentation for pulmonary lesions using hybrid level set model

Aymen Mouelhi, Mounir Sayadi, Salam Labidi, 2019, 2019 International Conference on Signal, Control and Communication (SCC).

A new preprocessing parameter estimation based on geodesic active contour model for automatic vestibular neuritis diagnosis

Amine Ben Slama, Aymen Mouelhi, Hanene Sahli, 2017, Artif. Intell. Medicine.

An enhanced approach for vestibular disorder assessment

Aymen Mouelhi, Sondes Manoubi, Mounir Sayadi, 2018, 2018 IEEE 4th Middle East Conference on Biomedical Engineering (MECBME).

A computer-aided method based on geometrical texture features for a precocious detection of fetal Hydrocephalus in ultrasound images.

Aymen Mouelhi, Hanene Sahli, Mounir Sayadi, 2019, Technology and health care : official journal of the European Society for Engineering and Medicine.

Fast unsupervised nuclear segmentation and classification scheme for automatic allred cancer scoring in immunohistochemical breast tissue images

Aymen Mouelhi, Mounir Sayadi, Jaouher Ben Ali, 2018, Comput. Methods Programs Biomed..

Features extraction for medical characterization of nystagmus

Amine Ben Slama, Aymen Mouelhi, Sondes Manoubi, 2016, 2016 2nd International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

Follow up of the Multiple Sclerosis Lesion's Evolution in Brain MRI by Automated Registration Approach

Aymen Mouelhi, Chaima Dachraoui, Salam Labidi, 2019, 2019 International Conference on Signal, Control and Communication (SCC).

Application of Statistical Features and Multilayer Neural Network to Automatic Diagnosis of Arrhythmia by ECG Signals

Aymen Mouelhi, Mounir Sayadi, Janusz Smulko, 2018 .

An Efficient Smoke Detection Algorithm Based on Deep Belief Network Classifier Using Energy and Intensity Features

Aymen Mouelhi, Mounir Sayadi, Moez Bouchouicha, 2020, Electronics.

A novel morphological segmentation method for evaluating estrogen receptors' status in breast tissue images

Aymen Mouelhi, Mounir Sayadi, Farhat Fnaiech, 2014, 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

Hybrid clustering system using Nystagmus parameters discrimination for vestibular disorder diagnosis.

Amine Ben Slama, Aymen Mouelhi, Hanene Sahli, 2020, Journal of X-ray science and technology.

DBN-DNN: discrimination and classification of VNG sequence using deep neural network framework in the EMD domain

Amine Ben Slama, Aymen Mouelhi, Hanene Sahli, 2020, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Computerized Image Segmentation of Multiple Sclerosis Lesions Using Fuzzy Level Set Model

Aymen Mouelhi, Chaima Dachraoui, Salam Labidi, 2020, 2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

A supervised segmentation scheme based on multilayer neural network and color active contour model for breast cancer nuclei detection

Aymen Mouelhi, Mounir Sayadi, Farhat Fnaiech, 2013, 2013 International Conference on Electrical Engineering and Software Applications.

An advanced intelligent ELISA test for bovine tuberculosis diagnosis

Aymen Mouelhi, Hanene Sahli, Mounir Sayadi, 2018, Biomed. Signal Process. Control..

A deep convolutional neural network for automated vestibular disorder classification using VNG analysis

Amine Ben Slama, Aymen Mouelhi, Hanene Sahli, 2020, Comput. methods Biomech. Biomed. Eng. Imaging Vis..

Accelerating the Multilayer Perceptron Learning with the Davidon Fletcher Powell Algorithm

Aymen Mouelhi, Farhat Fnaiech, Sabeur Abid, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Human Dendritic Cells Segmentation Based on K-Means and Active Contour

Aymen Mouelhi, Salam Labidi, Abdesslam Benzinou, 2018, ICISP.

Linear feature selection and classification using PNN and SFAM neural networks for a nearly online diagnosis of bearing naturally progressing degradations

Brigitte Chebel-Morello, Aymen Mouelhi, Farhat Fnaiech, 2015, Eng. Appl. Artif. Intell..

Automated approach for vestibular disorder diagnosis based on clinical VNG feature selection and fuzzy clustering

Amine Ben Slama, Aymen Mouelhi, Hanene Sahli, 2018 .

A new neural network method for peripheral vestibular disorder recognition using VNG parameter optimisation

Amine Ben Slama, Aymen Mouelhi, Hanene Sahli, 2018 .