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ORCIDAmine Ben Slama
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2020 – today
- 2024
[j12]Zouhair Mbarki, Amine Ben Slama, Yessine Amri
, Hedi Trabelsi, Hassene Seddik:
BTS-ADCNN: brain tumor segmentation based on rapid anisotropic diffusion function combined with convolutional neural network using MR images. J. Supercomput. 80(9): 13272-13294 (2024)- [c7]Zouhair Mbarki, Yessine Amri, Amine Ben Slama, Hedi Trabelsi, Hassene Seddik:
An efficient Blood pressure estimation algorithm based on machine learning using a mixture of non-contact hand-face PPG signals features. ATSIP 2024: 59-64 - 2023
- [c6]Hanene Sahli, Amine Ben Slama, Mounir Sayadi, Hedi Trabelsi:
Improved Clinical Feature Classification of Vestibular Disorder Dysfunction. ICCAD 2023: 1-6 - 2022
- [j11]Zouhair Mbarki, Amine Ben Slama, Hassene Seddik, Hedi Trabelsi:
Building a smart dynamic kernel with compact support based on deep neural network for efficient X-ray image denoising. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10(2): 132-144 (2022) - [j10]Adel Elamari, Amine Ben Slama, Hedi Trabelsi, Ezeddine Sediki:
Pre-study for facilitating the discovery of microfluidic properties in blood vessels using retinal fundus images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 10(6): 599-607 (2022) - 2021
- [j9]Marwa Hani, Amine Ben Slama, Imen Zghal, Hedi Trabelsi:
Appropriate identification of age-related macular degeneration using OCT images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(2): 146-156 (2021) - [j8]Ilhem Mezni, Amine Ben Slama, Zouhair Mbarki, Hassen Seddik, Hedi Trabelsi:
Automated identification of SD-optical coherence tomography derived macular diseases by combining 3D-block-matching and deep learning techniques. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(6): 660-669 (2021) - [j7]Amine Ben Slama, Hanene Sahli, Abderrazek Zeraii, Hedi Trabelsi, Leila Ben Farhat, Salam Labidi, Mounir Sayadi:
Deep Neural Network for Covid-19 Pandemic Recognition Using CT Data. J. Inf. Sci. Eng. 37(5): 1083-1095 (2021) - [j6]Amine Ben Slama, Zouhair Mbarki, Hassen Seddik, Jihene Marrakchi, Seif Boukriba, Salam Labidi:
Improving Parotid Gland Tumor Segmentation and Classification Using Geometric Active Contour Model and Deep Neural Network Framework. Traitement du Signal 38(4): 955-965 (2021) - [j5]Amine Ben Slama, Hanene Sahli, Ramzi Maalmi, Hedi Trabelsi:
ConvNet: 1D-Convolutional Neural Networks for Cardiac Arrhythmia Recognition Using ECG Signals. Traitement du Signal 38(6): 1737-1745 (2021) - 2020
- [j4]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) - [j3]Hanene Sahli, Amine Ben Slama, Sami Bouzaiane, Jihene Marrakchi, Seif Boukriba, Mounir Sayadi:
VNG technique for a convenient vestibular neuritis rating. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(5): 571-580 (2020) - [j2]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) - [c5]Marwa Hani, Amine Ben Slama, Nesrine Slokom, Hedi Trabelsi, Imen Zghal, Ezeddine Sediki:
Combined Optical Coherence Tomography and Ultrasound assisted analysis for retinal detachment in morning glory syndrome. ATSIP 2020: 1-4
2010 – 2019
- 2017
- [j1]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
- [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 - [c2]Hanene Sahli, Amine Ben Slama, Ahmed Zaafouri, Mounir Sayadi, Rathwen Rachdi:
Automated detection of current fetal head in ultrasound sequences. IPAS 2016: 1-6 - 2014
- [c1]Amine Ben Slama, Ahmed Nejmedine Machraoui, Mounir Sayadi:
Pupil tracking using active contour model for videonystagmography applications. IPAS 2014: 1-5
Coauthor Index
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