Asma Ben Abdallah
Orcid: 0000-0001-7821-7734
According to our database1,
Asma Ben Abdallah
authored at least 52 papers
between 2008 and 2024.
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Bibliography
2024
Automated Brain Lobe Segmentation and Feature Extraction from Multiple Sclerosis Lesions Using Deep Learning.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
2023
Automated segmentation of multiple sclerosis lesions based on convolutional neural networks.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023
CNN-based classification of epileptic states for seizure prediction using combined temporal and spectral features.
Biomed. Signal Process. Control., April, 2023
An innovative medical image synthesis based on dual GAN deep neural networks for improved segmentation quality.
Appl. Intell., 2023
Improving Knee Osteoarthritis Classification with Markerless Pose Estimation and STGCN Model.
Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023
Hyperparameters Optimization of Deep Learning Models for Unsupervised Lung Cancer Detection.
Proceedings of the International Conference on Cyberworlds, 2023
Revolutionizing Brain Cancer Diagnosis: Automated Prediction of MGMT Methylation Status using Histological Images.
Proceedings of the International Conference on Cyberworlds, 2023
Deep Learning Architecture with an Optimized Convolutional Processing for the Segmentation of Retinal Blood Vessels.
Proceedings of the 9th International Conference on Control, 2023
2022
Neural Comput. Appl., 2022
Automated method for real-time AMD screening of fundus images dedicated for mobile devices.
Medical Biol. Eng. Comput., 2022
Olive Tree Health Monitoring Approach Using Satellite Images and Based on Artificial Intelligence: Toward Automatic Olive Stress Detection Solution.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022
Proceedings of the Advances in Computational Collective Intelligence, 2022
Hyperparameter Optimization of Deep Learning Models for EEG-Based Vigilance Detection.
Proceedings of the Advances in Computational Collective Intelligence, 2022
Proceedings of the Advances in Computational Collective Intelligence, 2022
Automated Diagnosis of Retinal Neovascularization Pathologies from Color Retinal Fundus Images.
Proceedings of the Advances in Computer Graphics, 2022
Automatic evaluation of 3D volume infection rates: Application to the Covid-19 context.
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022
DL segmentation and 3D assessment of hippocampal atrophy in mesial temporal lobe epilepsy.
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022
2021
Neural Comput. Appl., 2021
Fast and efficient retinal blood vessel segmentation method based on deep learning network.
Comput. Medical Imaging Graph., 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
U-Shaped Densely Connected Convolutions for Left Ventricle Segmentation from CMR Images.
Proceedings of the Computer Analysis of Images and Patterns, 2021
A Novel Deep Learning Model for COVID-19 Detection from Combined Heterogeneous X-ray and CT Chest Images.
Proceedings of the Artificial Intelligence in Medicine, 2021
Proceedings of the 18th IEEE/ACS International Conference on Computer Systems and Applications, 2021
2020
A Spatiotemporal exploration and 3D modeling of blood flow in healthy carotid artery bifurcation from two modalities: Ultrasound-Doppler and phase contrast MRI.
Comput. Biol. Medicine, 2020
2019
GOP encoding structure in H264/AVC for video transmission over Ultra Wide Band IEEE 802.15.3c.
Proceedings of the International Conference on Smart Applications, 2019
Impact of Enhancement for Coronary Artery Segmentation Based on Deep Learning Neural Network.
Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019
H.264/AVC Video Transmission over UWB AV PHY IEEE 802.15.3c using UEP and Adaptive Modulation Techniques.
Proceedings of the International Conference on Advanced Communication Technologies and Networking, 2019
2018
Biomed. Signal Process. Control., 2018
Novel Parameters for ECG Signal Analysis Irrespective of Patient's Age, Sex and Heart Rate.
Proceedings of the 18th IEEE International Conference on Bioinformatics and Bioengineering, 2018
2017
Proceedings of the 13th International Wireless Communications and Mobile Computing Conference, 2017
Blood Flow Modeling in a Healthy Carotid Artery Bifurcation: Simulations Against in Vivo Measurements.
Proceedings of the 14th IEEE/ACS International Conference on Computer Systems and Applications, 2017
Proceedings of the 14th IEEE/ACS International Conference on Computer Systems and Applications, 2017
2016
Three-dimensional interpolation methods to spatiotemporal EEG mapping during various behavioral states.
Signal Image Video Process., 2016
A coronary artery segmentation method based on multiscale analysis and region growing.
Comput. Medical Imaging Graph., 2016
Proceedings of the 2016 International Wireless Communications and Mobile Computing Conference (IWCMC), 2016
Ultra wide band audio visual PHY IEEE 802.15.3c for SPIHT-compressed image transmission.
Proceedings of the International Symposium on Signal, Image, Video and Communications, 2016
Localisation of Epileptic Cerebral Activity Generators by 3D Spline Interpolation.
Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016), 2016
2015
Spectral density variation mapping of cerebral waves by three-dimensional interpolation techniques.
Int. J. Imaging Syst. Technol., 2015
Local deformation analysis of the heart left ventricle using SPHARM descriptors and modified hotelling T2 metric.
Proceedings of the 38th International Conference on Telecommunications and Signal Processing, 2015
Detection and segmentation of microcalcifications in digital mammograms using multifractal analysis.
Proceedings of the 2015 International Conference on Image Processing Theory, 2015
2014
Regional Curvature Analysis in the Left Ventricle of the Heart using Hotelling T2 Metric.
J. Comput., 2014
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014
Proceedings of the 4th International Conference on Multimedia Computing and Systems, 2014
Local deformation analysis in the heart left ventricle using the regional volume evolution.
Proceedings of the 4th International Conference on Multimedia Computing and Systems, 2014
2013
Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013
Novel Technique for Image Segmentation Based on Grammar Parsing and Hilbert Transform.
Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013
2010
A new uniform parameterization and invariant 3D spherical harmonic shape descriptors for shape analysis of the heart's left ventricle - A pilot study.
Pattern Recognit. Lett., 2010
2008
Three dimensional modeling of the left ventricle of the heart using spherical harmonic analysis.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008