A. Mouelhi

发表

Automatic segmentation of clustered breast cancer cells using watershed and concave vertex graph

A. Mouelhi, M. Sayadi, F. Fnaiech, 2011, 2011 International Conference on Communications, Computing and Control Applications (CCCA).

Hybrid segmentation of breast cancer cell images using a new fuzzy active contour model and an enhanced watershed method

A. Mouelhi, M. Sayadi, F. Fnaiech, 2013, 2013 International Conference on Control, Decision and Information Technologies (CoDIT).

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..

Automatic Ischemic Stroke Lesions Segmentation in Multimodality MRI using Mask Region-based Convolutional Neural Network

A. Mouelhi, M. Sayadi, R. Daoudi, 2020, 2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET).

Statistical analysis based on biometrie measures for fetal head anomaly characterization

A. Mouelhi, M. Sayadi, F. Fnaiech, 2018, 2018 IEEE 4th Middle East Conference on Biomedical Engineering (MECBME).

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).

Sparse classification of discriminant nystagmus features using combined video-oculography tests and pupil tracking for common vestibular disorder recognition

A. Mouelhi, M. Sayadi, S. Labidi, 2020, Computer methods in biomechanics and biomedical engineering.

An advanced intelligent ELISA test for bovine tuberculosis diagnosis

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

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.

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

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

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..

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 Diagnosis of Multiple Sclerosis Lesions in Brain MRI Using 3D-FLAIR Acquisition

C. Drissi, A. Mouelhi, S. Labidi, 2021, Proceedings of Sixth International Congress on Information and Communication Technology.

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 .

Fully Automatic Unsupervised Approach based on Adaptive Encoder Decoder Process for Forest Fire Image Denoising and Segmentation

A. Mouelhi, M. Sayadi, M. Bouchouicha, 2022, 2022 IEEE Information Technologies & Smart Industrial Systems (ITSIS).

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).

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

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

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.

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.

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).

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).

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 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.

Nuclei Segmentation Approach for Digestive Neuroendocrine Tumors Analysis Using optimized Color Space Conversion

Basel SOLAIMAN, Hana RMILI, Aymen MOUELHI, 2020, 2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP).

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).

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

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