Mohamed Bedoui Hedi
Orcid: 0000-0003-4846-1722
According to our database1,
Mohamed Bedoui Hedi
authored at least 111 papers
between 2005 and 2024.
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Bibliography
2024
Signal Image Video Process., July, 2024
Efficient Generalized Electroencephalography-Based Drowsiness Detection Approach with Minimal Electrodes.
Sensors, July, 2024
CAS-GAN: A Novel Generative Adversarial Network-Based Architecture for Coronary Artery Segmentation.
Int. J. Imaging Syst. Technol., 2024
A fast residual attention network for fine-grained unsupervised anomaly detection and localization.
Appl. Soft Comput., 2024
Advancing Cardiovascular Imaging: Deep Learning-Based Analysis of Blood Flow Displacement Vectors in Ultrasound Video Sequences.
Proceedings of the Good Practices and New Perspectives in Information Systems and Technologies, 2024
Deep Learning Brain MRI Segmentation and 3D Reconstruction: Evaluation of Hippocampal Atrophy in Mesial Temporal Lobe Epilepsy.
Proceedings of the Good Practices and New Perspectives in Information Systems and Technologies, 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
Detection and Localization of Covid-19 on Chest Radiographs by Deep Learning Algorithms.
Proceedings of the Advances in Computational Collective Intelligence, 2024
2023
Automated segmentation of multiple sclerosis lesions based on convolutional neural networks.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023
Neural Process. Lett., June, 2023
CNN-based classification of epileptic states for seizure prediction using combined temporal and spectral features.
Biomed. Signal Process. Control., April, 2023
Circuits Syst. Signal Process., March, 2023
Deep-active-learning approach towards accurate right ventricular segmentation using a two-level uncertainty estimation.
Comput. Medical Imaging Graph., March, 2023
Evaluation of LoRaWAN class B performances and its optimization for better support of actuators.
Comput. Commun., 2023
An innovative medical image synthesis based on dual GAN deep neural networks for improved segmentation quality.
Appl. Intell., 2023
Fusion-Based Approach to Enhance Markerless Motion Capture Accuracy for On-Site Analysis.
Proceedings of the Image and Video Technology - 11th Pacific-Rim Symposium, 2023
Improving Knee Osteoarthritis Classification with Markerless Pose Estimation and STGCN Model.
Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023
Proceedings of the 11th IEEE International Conference on Systems and Control, 2023
Proceedings of the 2023 IEEE International Conference on Design, 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
Clinical-Guided Strategy Towards a Spatio-Temporal Cardiac MRI Right Ventricular Short-Axis (ST-CMRI-RVSA) Labeled Dataset.
SN Comput. Sci., 2022
Automatic Detection of Drowsiness in EEG Records Based on Machine Learning Approaches.
Neural Process. Lett., 2022
Neural Comput. Appl., 2022
Automated method for real-time AMD screening of fundus images dedicated for mobile devices.
Medical Biol. Eng. Comput., 2022
Hybrid Multi-Channel EEG Filtering Method for Ocular and Muscular Artifact Removal Based on the 3D Spline Interpolation Technique.
Comput. J., 2022
Notes on Fifth Dimension Modelling in Cardiovascular System Using Artificial Intelligence-Based Tools.
Proceedings of the Information Systems and Technologies, 2022
LoRaWAN Optimization using optimized Auto-Regressive algorithm, Support Vector Machine and Temporal Fusion Transformer for QoS ensuring.
Proceedings of the 18th International Conference on Wireless and Mobile Computing, 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
End-to-End Mobile System for Diabetic Retinopathy Screening Based on Lightweight Deep Neural Network.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022
Right Ventricle Segmentation in Cardiac MR Images Using Convolutional Neural Network Architecture.
Proceedings of the Advances in Computational Collective Intelligence, 2022
Proceedings of the Advances in Computational Collective Intelligence, 2022
Analysis of Right Ventricle Segmentation in the End Diastolic and End Systolic Cardiac Phases Using UNet-Based Models.
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
Blood vessel segmentation of retinal fundus images using dynamic preprocessing and mathematical morphology.
Proceedings of the 8th International Conference on Control, 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
2021
Neural Comput. Appl., 2021
Int. J. Imaging Syst. Technol., 2021
A review of approaches investigated for right ventricular segmentation using short-axis cardiac MRI.
IET Image Process., 2021
Fast and efficient retinal blood vessel segmentation method based on deep learning network.
Comput. Medical Imaging Graph., 2021
Mitral Valve Leaflets segmentation approaches based upon Frangi filter and ISODATA clustering.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021
Comparison by multivariate auto-regressive method of seizure prediction for real patients and virtual patients.
Biomed. Signal Process. Control., 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
Slice-Level-Guided Convolutional Neural Networks to study the Right Ventricular Segmentation using MRI Short-Axis sequences.
Proceedings of the 18th IEEE/ACS International Conference on Computer Systems and Applications, 2021
2020
Parallel computation of Watershed Transform in weighted graphs on shared memory machines.
J. Real Time Image Process., 2020
Efficient graphical-processor-unit parallelization algorithm for computing Eigen values.
J. Electronic Imaging, 2020
New Hardware Architecture for Self-Organizing Map Used for Color Vector Quantization.
J. Circuits Syst. Comput., 2020
Left ventricular segmentation based on a parallel watershed transformation towards an accurate heart function evaluation.
IET Image Process., 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
Proceedings of the 16th International Conference on Wireless and Mobile Computing, 2020
Proceedings of the Thirteenth International Conference on Machine Vision, 2020
Scalable, dynamic and growing hardware self-organizing architecture for real-time vector quantization.
Proceedings of the 27th IEEE International Conference on Electronics, Circuits and Systems, 2020
2019
J. Syst. Archit., 2019
J. Circuits Syst. Comput., 2019
Comput. Intell. Neurosci., 2019
Proceedings of the 23rd International Conference on Information Visualisation, 2019
Proceedings of the International Joint Conference on Neural Networks, 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
2018
LVQ neural network optimized implementation on FPGA devices with multiple-wordlength operations for real-time systems.
Neural Comput. Appl., 2018
Microprocess. Microsystems, 2018
Biomed. Signal Process. Control., 2018
Proceedings of the IEEE International Conference on Image Processing, 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
Parallel Implementation on GPU for EEG Artifact Rejection by Combining FastICA and TQWT.
Proceedings of the 15th IEEE/ACS International Conference on Computer Systems and Applications, 2018
2017
Parallel Comput., 2017
J. Real Time Image Process., 2017
IET Circuits Devices Syst., 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 Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
Proceedings of the Representations, Analysis and Recognition of Shape and Motion from Imaging Data, 2016
Parallel implementation of a watershed algorithm on shared memory multicore architecture.
Proceedings of the Ninth International Conference on Machine Vision, 2016
Proceedings of the 2016 IEEE International Conference on Electronics, Circuits and Systems, 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
Int. J. High Perform. Syst. Archit., 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
Proceedings of the 2015 International Conference on High Performance Computing & Simulation, 2015
2014
Regional Curvature Analysis in the Left Ventricle of the Heart using Hotelling T2 Metric.
J. Comput., 2014
Integration of Optimization Approach Based on Multiple Wordlength Operation Grouping in the AAA Methodology for Real-Time Systems: LVQ Implementation.
Int. J. Embed. Real Time Commun. Syst., 2014
Proceedings of the 6th International Conference of Soft Computing and Pattern Recognition, 2014
Architecture multi-agents pyramidale et adaptative pour la segmentation des images volumiques (présentation courte).
Proceedings of the Principe de Parcimonie - JFSMA 14, 2014
Proceedings of the International Image Processing, 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
Execution Time and Code Size Optimization Using Multidimensional Retiming and Loop Striping.
Proceedings of the 2013 Euromicro Conference on Digital System Design, 2013
2012
Power estimation model based on grouping components in field-programmable gate array circuit.
IET Circuits Devices Syst., 2012
Timing and Code Size Optimization on Achieving Full Parallelism in Uniform Nested Loops
CoRR, 2012
Proceedings of the 7th International Conference on Design & Technology of Integrated Systems in Nanoscale Era, 2012
Proceedings of the 16th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications, 2012
2011
Pattern Recognit., 2011
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
Implementation of an LVQ neural network with a variable size: algorithmic specification, architectural exploration and optimized implementation on FPGA devices.
Neural Comput. Appl., 2010
Int. J. Artif. Intell. Soft Comput., 2010
Hedi: Multi-width fixed-point coding based on reprogrammable hardware implementation of a multi-layer perceptron neural network for alertness classification.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
Proceedings of the 17th IEEE International Conference on Electronics, 2010
2006
Supervised neuronal approaches for EEG signal classification: Experimental studies.
Proceedings of the Artificial Intelligence and Soft Computing, 2006
2005
Neuronal Spectral Analysis of EEG and Expert Knowledge Integration for Automatic Classification of Sleep Stages
CoRR, 2005