Features extraction for medical characterization of nystagmus. - Amine Ben Slama; Aymen Mouelhi; Mohamed Ali Cherni; Sondes Manoubi; Chiraz Mbarek; Hedi Trabelsi; Mounir Sayadi (ATSIP, 2016)

Segmentation of cyctoids macular edema in optical cohenrence tomography. - Hedi Trabelsi; Imen Zghal; Nesrine Slokom (ATSIP, 2016)

A novel automatic diagnostic approach based on nystagmus feature selection and neural network classification. - Amine Ben Slama; Aymen Mouelhi; Hanene Sahli; Sondes Manoubi; Mamia Ben Salah; Mounir Sayadi; Hedi Trabelsi; Farhat Fnaiech (IECON, 2016)

A new preprocessing parameter estimation based on geodesic active contour model for automatic vestibular neuritis diagnosis. - Amine Ben Slama; Aymen Mouelhi; Hanene Sahli; Sondes Manoubi; Chiraz Mbarek; Hedi Trabelsi; Farhat Fnaiech; Mounir Sayadi (Artif. Intell. Medicine, 2017)

Combined Optical Coherence Tomography and Ultrasound assisted analysis for retinal detachment in morning glory syndrome. - Marwa Hani; Amine Ben Slama; Nesrine Slokom; Hedi Trabelsi; Imen Zghal; Ezeddine Sediki (ATSIP, 2020)

A deep convolutional neural network for automated vestibular disorder classification using VNG analysis. - Amine Ben Slama; Aymen Mouelhi; Hanene Sahli; Abderrazek Zeraii; Jihene Marrakchi; Hedi Trabelsi (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020)

DBN-DNN: discrimination and classification of VNG sequence using deep neural network framework in the EMD domain. - Amine Ben Slama; Hanene Sahli; Aymen Mouelhi; Jihene Marrakchi; Mounir Sayadi; Hedi Trabelsi (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020)

Appropriate identification of age-related macular degeneration using OCT images. - Marwa Hani; Amine Ben Slama; Imen Zghal; Hedi Trabelsi (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

Automated identification of SD-optical coherence tomography derived macular diseases by combining 3D-block-matching and deep learning techniques. - Ilhem Mezni; Amine Ben Slama; Zouhair Mbarki; Hassen Seddik; Hedi Trabelsi (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

Deep Neural Network for Covid-19 Pandemic Recognition Using CT Data. - Amine Ben Slama; Hanene Sahli; Abderrazek Zeraii; Hedi Trabelsi; Leila Ben Farhat; Salam Labidi; Mounir Sayadi (J. Inf. Sci. Eng., 2021)

ConvNet: 1D-Convolutional Neural Networks for Cardiac Arrhythmia Recognition Using ECG Signals. - Amine Ben Slama; Hanene Sahli; Ramzi Maalmi; Hedi Trabelsi (Traitement du Signal, 2021)

Pre-study for facilitating the discovery of microfluidic properties in blood vessels using retinal fundus images. - Adel Elamari; Amine Ben Slama; Hedi Trabelsi; Ezeddine Sediki (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022)

Building a smart dynamic kernel with compact support based on deep neural network for efficient X-ray image denoising. - Zouhair Mbarki; Amine Ben Slama; Hassene Seddik; Hedi Trabelsi (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022)

Improved Clinical Feature Classification of Vestibular Disorder Dysfunction. - Hanene Sahli; Amine Ben Slama; Mounir Sayadi; Hedi Trabelsi (ICCAD, 2023)

Improved WPT system using a conical coil for charging a Smart device that controls patients with Alzheimer's disease. - Yosra Ben Fadhel; Achraf Derbel; Hatem Garrab; Hedi Trabelsi; Mohamed Deriche 001; Nabil Derbel (SSD, 2024)

An efficient Blood pressure estimation algorithm based on machine learning using a mixture of non-contact hand-face PPG signals features. - Zouhair Mbarki; Yessine Amri; Amine Ben Slama; Hedi Trabelsi; Hassene Seddik (ATSIP, 2024)

BTS-ADCNN: brain tumor segmentation based on rapid anisotropic diffusion function combined with convolutional neural network using MR images. - Zouhair Mbarki; Amine Ben Slama; Yessine Amri; Hedi Trabelsi; Hassene Seddik (J. Supercomput., 2024)

Design of Nanorobots for an Early Detection of Alzhimer's Disease. - Yosra Ben Fadhel; Khawla Kachroudi; Achraf Derbel; Hedi Trabelsi; Nabil Derbel (SSD, 2025)