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ORCIDRamzi Mahmoudi
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2020 – today
- 2024
[j9]Narjes Benameur, Ameni Sassi, Wael Ouarda, Ramzi Mahmoudi, Younes Arous, Mazin Abed Mohammed, Chokri Ben Amar, Salam Labidi, Halima Mahjoubi:
Deciphering the Complexities of COVID-19-Related Cardiac Complications: Enhancing Classification Accuracy With an Advanced Deep Learning Framework. Int. J. Imaging Syst. Technol. 34(5) (2024)- [c11]Narjes Benameur, Ramzi Mahmoudi, Mohamed Deriche, Amira Fayouka, Imene Masmoudi, Mohamed Hedi Jemaa, Nessrine Zoghlami:
Automatic Deep Learning-based Myocardial Contours Segmentation from Cine MRI Images. SSD 2024: 76-81 - [i4]Narjes Benameur, Ramzi Mahmoudi, Mohamed Deriche, Amira Fayouka, Imene Masmoudi, Nessrine Zoghlami:
An Improved Approach for Cardiac MRI Segmentation based on 3D UNet Combined with Papillary Muscle Exclusion. CoRR abs/2410.06818 (2024) - 2023
- [j8]Asma Ammari
, Ramzi Mahmoudi, Badii Hmida, Rachida Saouli, Mohamed Hedi Bedoui:
Deep-active-learning approach towards accurate right ventricular segmentation using a two-level uncertainty estimation. Comput. Medical Imaging Graph. 104: 102168 (2023) - [j7]Ramzi Mahmoudi:
Ventricular segmentation and modeling using topological watershed transformation and harmonic state model. Int. J. Imaging Syst. Technol. 33(2): 680-700 (2023) - [c10]Narjes Benameur, Rania Awadi, Ramzi Mahmoudi, Mohamed Deriche, Mohammed Azmi Al-Betar:
Left Ventricle Wall Motion Abnormalities Detection in Cardiac MRI. SSD 2023: 912-918 - [c9]Hassen Hamdi, Rim Zarrouk, Ramzi Mahmoudi, Narjes Bennour:
IoT Technologies for Smart Healthcare Buildings with Distributed Deep Learning Techniques. MEDI Workshops 2023: 172-183 - 2022
- [j6]Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Mezri Maatouk, Rachida Saouli, Mohamed Hédi Bedoui:
Clinical-Guided Strategy Towards a Spatio-Temporal Cardiac MRI Right Ventricular Short-Axis (ST-CMRI-RVSA) Labeled Dataset. SN Comput. Sci. 3(4): 287 (2022) - [c8]Sana Slama, Ramzi Mahmoudi, Badii Hmida, Mézri Maatouk, Mohamed Hedi Bedoui:
Right Ventricle Segmentation in Cardiac MR Images Using Convolutional Neural Network Architecture. ICCCI (CCIS Volume) 2022: 352-359 - [c7]Rania Mabrouk, Ramzi Mahmoudi, Asma Ammari, Rachida Saouli, Mohamed Hedi Bedoui:
Analysis of Right Ventricle Segmentation in the End Diastolic and End Systolic Cardiac Phases Using UNet-Based Models. ICCCI (CCIS Volume) 2022: 385-395 - [c6]Ramzi Mahmoudi, Sana Slama, Narjes Benameur, Khouloud Boukhris, Badii Hmida, Mohamed Hedi Bedoui:
Notes on Fifth Dimension Modelling in Cardiovascular System Using Artificial Intelligence-Based Tools. WorldCIST (1) 2022: 663-673 - 2021
- [j5]Ramzi Mahmoudi, Narjes Benameur, Badii Hmida, Mohamed Hedi Bedoui:
Mitral Valve Leaflets segmentation approaches based upon Frangi filter and ISODATA clustering. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(6): 678-689 (2021) - [j4]Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Rachida Saouli, Mohamed Hédi Bedoui:
A review of approaches investigated for right ventricular segmentation using short-axis cardiac MRI. IET Image Process. 15(9): 1845-1868 (2021) - [c5]Asma Ammari, Ramzi Mahmoudi, Badii Hmida, Rachida Saouli, Mohamed Hedi Bedoui:
Slice-Level-Guided Convolutional Neural Networks to study the Right Ventricular Segmentation using MRI Short-Axis sequences. AICCSA 2021: 1-6 - [c4]Khouloud Boukhris, Ramzi Mahmoudi, Asma Ben Abdallah, Mabrouk AbdelAli, Badii Hmida, Mohamed Hédi Bedoui:
U-Shaped Densely Connected Convolutions for Left Ventricle Segmentation from CMR Images. CAIP (1) 2021: 145-153 - 2020
- [j3]Ramzi Mahmoudi, Narjes Ben Ameur, Asma Ammari, Mohamed Akil, Rachida Saouli, Badii Hmida, Mohamed Hedi Bedoui:
Left ventricular segmentation based on a parallel watershed transformation towards an accurate heart function evaluation. IET Image Process. 14(3): 506-517 (2020)
2010 – 2019
- 2017
- [j2]Ramzi Mahmoudi, Mohamed Akil, Mohamed Hédi Bedoui:
Concurrent computation of topological watershed on shared memory parallel machines. Parallel Comput. 69: 78-97 (2017) - 2016
- [i3]Ramzi Mahmoudi, Mohamed Akil:
Enhanced computation method of topological smoothing on shared memory parallel machines. CoRR abs/1603.09176 (2016) - [i2]Ramzi Mahmoudi, Mohamed Akil, Petr Matas:
Parallel image thinning through topological operators on shared memory parallel machines. CoRR abs/1603.09180 (2016) - [i1]Ramzi Mahmoudi, Mohamed Akil:
Real-time topological image smoothing on shared memory parallel machines. CoRR abs/1603.09337 (2016) - 2014
- [c3]Rafika Thabet, Ramzi Mahmoudi, Mohamed Hedi Bedoui:
Image processing on mobile devices: An overview. IPAS 2014: 1-8 - 2011
- [b1]Ramzi Mahmoudi:
Real time image processing : algorithm parallelization on multicore multithread architecture. (Imagerie temps réel : parallélisation d'algorithmes sur plate-forme multi-processeurs). University of Paris-Est, France, 2011 - [j1]Ramzi Mahmoudi, Mohamed Akil:
Enhanced computation method of topological smoothing on shared memory parallel machines. EURASIP J. Image Video Process. 2011: 16 (2011) - [c2]Ramzi Mahmoudi, Mohamed Akil:
Real-time topological image smoothing on shared memory parallel machines. Real-Time Image and Video Processing 2011: 787109
2000 – 2009
- 2009
- [c1]Ramzi Mahmoudi, Mohamed Akil:
Image segmentation based upon topological operators: real-time implementation case study. Real-Time Image and Video Processing 2009: 724403
Coauthor Index
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