Amine Ben Slama

Orcid: 0000-0002-3828-3654

According to our database1, Amine Ben Slama authored at least 19 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
BTS-ADCNN: brain tumor segmentation based on rapid anisotropic diffusion function combined with convolutional neural network using MR images.
J. Supercomput., June, 2024

An efficient Blood pressure estimation algorithm based on machine learning using a mixture of non-contact hand-face PPG signals features.
Proceedings of the 7th IEEE International Conference on Advanced Technologies, 2024

2023
Improved Clinical Feature Classification of Vestibular Disorder Dysfunction.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2023

2022
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., 2022

Pre-study for facilitating the discovery of microfluidic properties in blood vessels using retinal fundus images.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2022

2021
ConvNet: 1D-Convolutional Neural Networks for Cardiac Arrhythmia Recognition Using ECG Signals.
Traitement du Signal, 2021

Improving Parotid Gland Tumor Segmentation and Classification Using Geometric Active Contour Model and Deep Neural Network Framework.
Traitement du Signal, 2021

Deep Neural Network for Covid-19 Pandemic Recognition Using CT Data.
J. Inf. Sci. Eng., 2021

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., 2021

Appropriate identification of age-related macular degeneration using OCT images.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021

2020
DBN-DNN: discrimination and classification of VNG sequence using deep neural network framework in the EMD domain.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020

A deep convolutional neural network for automated vestibular disorder classification using VNG analysis.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020

VNG technique for a convenient vestibular neuritis rating.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020

Combined Optical Coherence Tomography and Ultrasound assisted analysis for retinal detachment in morning glory syndrome.
Proceedings of the 5th International Conference on Advanced Technologies for Signal and Image Processing, 2020

2017
A new preprocessing parameter estimation based on geodesic active contour model for automatic vestibular neuritis diagnosis.
Artif. Intell. Medicine, 2017

2016
Automated detection of current fetal head in ultrasound sequences.
Proceedings of the International Image Processing, Applications and Systems, 2016

A novel automatic diagnostic approach based on nystagmus feature selection and neural network classification.
Proceedings of the IECON 2016, 2016

Features extraction for medical characterization of nystagmus.
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016

2014
Pupil tracking using active contour model for videonystagmography applications.
Proceedings of the International Image Processing, 2014


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