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Mourad Said
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2020 – today
- 2023
- [j3]Ahmed Beji, Ahmed Ghazi Blaiech
, Mourad Said, Asma Ben Abdallah, Mohamed Hédi Bedoui:
An innovative medical image synthesis based on dual GAN deep neural networks for improved segmentation quality. Appl. Intell. 53(3): 3381-3397 (2023) - [i1]Edward H. Lee, Brendan Kelly, Emre Altinmakas, Hakan Dogan, Errol Colak, Steve Fu, Olivia Choudhury, Ujjwal Ratan, Felipe Kitamura, Hernan Chaves, Mourad Said, Eduardo Pontes Reis, Jaekwang Lim, Patricia Yokoo, Corie Mitchell, Jimmy Zheng, Maryam Mohammadzadeh, Golnaz Houshmand
, Wendy Qiu, Joel Hayden, Farnaz Rafiee, Chad Klochko, Nicholas Bevins, S. Simon Wong, Safwan Halabi
, Kristen W. Yeom:
Federated Learning on Heterogenous Data using Chest CT. CoRR abs/2303.13567 (2023) - 2022
- [c2]Houneida Sakly
, Mourad Said, Moncef Tagina:
Medical Decision Making Based 5D Cardiac MRI Segmentation Tools. ISDA (1) 2022: 65-72 - 2021
- [c1]Safa Mathlouthi, Ahmed Ghazi Blaiech, Mourad Said, Asma Ben Abdallah, Mohamed Hédi Bedoui:
A Novel Deep Learning Model for Knee Cartilage 3D Segmentation. AICCSA 2021: 1-7 - 2020
- [j2]Houneida Sakly
, Mourad Said, Syrine Radhouane, Moncef Tagina:
Medical decision making for 5D cardiac model: Template matching technique and simulation of the fifth dimension. Comput. Methods Programs Biomed. 191: 105382 (2020) - [j1]Houneida Sakly
, Mourad Said, Moncef Tagina:
Reconstruction of 5D cardiac MRI through the blood flow registration: simulation of the fifth dimension and assessment of the left ventricular ejection fraction. Netw. Model. Anal. Health Informatics Bioinform. 9(1): 61 (2020)
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