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ORCIDAymen Mouelhi
2020 – today
- 2024
[j14]Chaima Dachraoui
, Aymen Mouelhi, Amine Mosbeh, Wassim Sliti, Cyrine Drissi, Basel Solaiman, Salam Labidi:
A machine learning approach for multiple sclerosis diagnosis through Detecron Architecture. Multim. Tools Appl. 83(14): 42837-42859 (2024)- 2023
- [c12]Mohamed El Hedi Ouerteteni, Ahmed Zaafouri, Tijeni Delleji, Aymen Mouelhi, Moez Bouchouicha, Zied Chtourou, Mounir Sayadi:
Flying Objects Classification Using Trajectory Characterization. CoDIT 2023: 1577-1582 - [c11]Rimeh Daoudi, Aymen Mouelhi, Moez Bouchouicha, Eric Moreau, Mounir Sayadi:
Reconstruction-Segmentation Path for Fire and Smoke Detection in Video Surveillance Images. CW 2023: 225-231 - 2022
- [j13]Chaima Dachraoui, Aymen Mouelhi, Cyrine Drissi, Salam Labidi:
Hybrid fuzzy level set approach for multiple sclerosis lesions assessment in magnetic resonance brain images. Int. J. Model. Identif. Control. 40(3): 260-270 (2022) - 2021
- [j12]Aymen Mouelhi, Moez Bouchouicha, Mounir Sayadi, Eric Moreau:
A neural adaptive level set method for wildland forest fire tracking. Int. J. Comput. Appl. Technol. 67(2/3): 289-302 (2021) - [j11]Chaima Dachraoui, Aymen Mouelhi, Salam Labidi:
Brain MRI monitoring approach of lesion progress in multiple sclerosis using active contours. Int. J. Model. Identif. Control. 38(1): 32-45 (2021) - 2020
- [j10]Amine Ben Slama, Aymen Mouelhi, Hanene Sahli, Abderrazek Zeraii, Jihene Marrakchi, Hedi Trabelsi:
A deep convolutional neural network for automated vestibular disorder classification using VNG analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(3): 334-342 (2020) - [j9]Amine Ben Slama, Hanene Sahli, Aymen Mouelhi, Jihene Marrakchi, Mounir Sayadi, Hedi Trabelsi:
DBN-DNN: discrimination and classification of VNG sequence using deep neural network framework in the EMD domain. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(6): 681-690 (2020) - [c10]Chaima Dachraoui, Salam Labidi, Aymen Mouelhi:
Computerized Image Segmentation of Multiple Sclerosis Lesions Using Fuzzy Level Set Model. ATSIP 2020: 1-6 - [c9]Hana Rmili, Basel Solaiman, Aymen Mouelhi, Raoudha Doghri, Salam Labidi:
Nuclei Segmentation Approach for Digestive Neuroendocrine Tumors Analysis Using optimized Color Space Conversion. ATSIP 2020: 1-6 - [c8]Chaima Dachraoui, Aymen Mouelhi, Cyrine Drissi, Salam Labidi:
Predictive Approach of Multiple Sclerosis MR-Lesions Evolution based on Chaotic Attributes. CoDIT 2020: 265-270
2010 – 2019
- 2019
- [j8]Ahmed Nejmedine Machraoui, Mohamed Fethi Diouani, Aymen Mouelhi, Kaouther Jaouadi, Jamila Ghrab, Hafedh Abdelmelek, Mounir Sayadi:
Automatic identification and behavioral analysis of phlebotomine sand flies using trajectory features. Vis. Comput. 35(5): 721-738 (2019) - 2018
- [j7]Hanene Sahli, Aymen Mouelhi, Mohamed Fethi Diouani, Lotfi Tlig, Amira Refai, Ramzi Boubaker Landoulsi, Mounir Sayadi, Makram Essafi:
An advanced intelligent ELISA test for bovine tuberculosis diagnosis. Biomed. Signal Process. Control. 46: 59-66 (2018) - [j6]Aymen Mouelhi, Hana Rmili, Jaouher Ben Ali, Mounir Sayadi, Raoudha Doghri, Karima Mrad:
Fast unsupervised nuclear segmentation and classification scheme for automatic allred cancer scoring in immunohistochemical breast tissue images. Comput. Methods Programs Biomed. 165: 37-51 (2018) - [c7]Sourour Gargouri, Aymen Mouelhi, Mounir Sayadi, Salam Labidi, Majdi Mahersi, Saoussen Zayed:
Brief review of partial volume corrections in PET/CT for lung cancer assessment. ATSIP 2018: 1-6 - [c6]Marwa Braiki, Abdesslam Benzinou, Kamal Nasreddine, Aymen Mouelhi, Salam Labidi, Nolwenn Hymery:
Human Dendritic Cells Segmentation Based on K-Means and Active Contour. ICISP 2018: 19-27 - [c5]Hanene Sahli, Aymen Mouelhi, Mounir Sayadi, Radhouane Rachdi:
Discriminant Textural Feature Selection and Classification for a Computerized Fetal Hydrocephalus Detection. IPAS 2018: 232-237 - 2017
- [j5]Amine Ben Slama, Aymen Mouelhi, Hanene Sahli, Sondes Manoubi, Chiraz Mbarek, Hedi Trabelsi, Farhat Fnaiech, Mounir Sayadi:
A new preprocessing parameter estimation based on geodesic active contour model for automatic vestibular neuritis diagnosis. Artif. Intell. Medicine 80: 48-62 (2017) - 2016
- [j4]Aymen Mouelhi, Mounir Sayadi, Farhat Fnaiech, Karima Mrad:
Automated nuclei segmentation approach based on mathematical morphology for cancer scoring in breast tissue images. Int. Arab J. Inf. Technol. 13(6A): 915-922 (2016) - [c4]Amine Ben Slama, Aymen Mouelhi, Mohamed Ali Cherni, Sondes Manoubi, Chiraz Mbarek, Hedi Trabelsi, Mounir Sayadi:
Features extraction for medical characterization of nystagmus. ATSIP 2016: 292-296 - [c3]Amine Ben Slama, Aymen Mouelhi, Hanene Sahli, Sondes Manoubi, Mamia Ben Salah, Mounir Sayadi, Hedi Trabelsi, Farhat Fnaiech:
A novel automatic diagnostic approach based on nystagmus feature selection and neural network classification. IECON 2016: 5165-5170 - 2015
- [j3]Jaouher Ben Ali, Lotfi Saidi, Aymen Mouelhi, Brigitte Chebel-Morello, Farhat Fnaiech:
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. 42: 67-81 (2015) - 2014
- [c2]Aymen Mouelhi, Mounir Sayadi, Farhat Fnaiech:
A novel morphological segmentation method for evaluating estrogen receptors' status in breast tissue images. ATSIP 2014: 177-182 - 2013
- [j2]Aymen Mouelhi, Mounir Sayadi, Farhat Fnaiech, Karima Mrad, Khaled Ben Romdhane:
Automatic image segmentation of nuclear stained breast tissue sections using color active contour model and an improved watershed method. Biomed. Signal Process. Control. 8(5): 421-436 (2013) - [j1]Aymen Mouelhi, Mounir Sayadi, Farhat Fnaiech, Karima Mrad, Khaled Ben Romdhane:
A new automatic image analysis method for assessing estrogen receptors' status in breast tissue specimens. Comput. Biol. Medicine 43(12): 2263-2277 (2013)
2000 – 2009
- 2006
- [c1]Sabeur Abid, Aymen Mouelhi, Farhat Fnaiech:
Accelerating the Multilayer Perceptron Learning with the Davidon Fletcher Powell Algorithm. IJCNN 2006: 3389-3394
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