Ramzi Mahmoudi
Orcid: 0000-0002-4271-3506
According to our database1,
Ramzi Mahmoudi
authored at least 23 papers
between 2009 and 2024.
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Bibliography
2024
Deciphering the Complexities of COVID-19-Related Cardiac Complications: Enhancing Classification Accuracy With an Advanced Deep Learning Framework.
Int. J. Imaging Syst. Technol., 2024
An Improved Approach for Cardiac MRI Segmentation based on 3D UNet Combined with Papillary Muscle Exclusion.
CoRR, 2024
Proceedings of the 21st International Multi-Conference on Systems, Signals & Devices, 2024
2023
Ventricular segmentation and modeling using topological watershed transformation and harmonic state model.
Int. J. Imaging Syst. Technol., March, 2023
Deep-active-learning approach towards accurate right ventricular segmentation using a two-level uncertainty estimation.
Comput. Medical Imaging Graph., March, 2023
IoT Technologies for Smart Healthcare Buildings with Distributed Deep Learning Techniques.
Proceedings of the Advances in Model and Data Engineering in the Digitalization Era, 2023
Proceedings of the 20th International Multi-Conference on Systems, Signals & Devices, 2023
2022
Clinical-Guided Strategy Towards a Spatio-Temporal Cardiac MRI Right Ventricular Short-Axis (ST-CMRI-RVSA) Labeled Dataset.
SN Comput. Sci., 2022
Notes on Fifth Dimension Modelling in Cardiovascular System Using Artificial Intelligence-Based Tools.
Proceedings of the Information Systems and Technologies, 2022
Right Ventricle Segmentation in Cardiac MR Images Using Convolutional Neural Network Architecture.
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
2021
A review of approaches investigated for right ventricular segmentation using short-axis cardiac MRI.
IET Image Process., 2021
Mitral Valve Leaflets segmentation approaches based upon Frangi filter and ISODATA clustering.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021
U-Shaped Densely Connected Convolutions for Left Ventricle Segmentation from CMR Images.
Proceedings of the Computer Analysis of Images and Patterns, 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
Left ventricular segmentation based on a parallel watershed transformation towards an accurate heart function evaluation.
IET Image Process., 2020
2017
Parallel Comput., 2017
2016
Parallel image thinning through topological operators on shared memory parallel machines.
CoRR, 2016
2014
Proceedings of the International Image Processing, 2014
2011
Real time image processing : algorithm parallelization on multicore multithread architecture. (Imagerie temps réel : parallélisation d'algorithmes sur plate-forme multi-processeurs).
PhD thesis, 2011
Enhanced computation method of topological smoothing on shared memory parallel machines.
EURASIP J. Image Video Process., 2011
Proceedings of the Real-Time Image and Video Processing 2011, 2011
2009
Image segmentation based upon topological operators: real-time implementation case study.
Proceedings of the Real-Time Image and Video Processing 2009, 2009