Amine Ben Slama
Orcid: 0000-0002-3828-3654
According to our database1,
Amine Ben Slama
authored at least 19 papers
between 2014 and 2024.
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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
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
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
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
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
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
Proceedings of the 2nd International Conference on Advanced Technologies for Signal and Image Processing, 2016
2014
Proceedings of the International Image Processing, 2014