David Bendahan

Orcid: 0000-0002-1502-0958

According to our database1, David Bendahan authored at least 9 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
2025
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Quantitative analysis of myocardial fibrosis using a deep learning-based framework applied to the 17-Segment model.
Biomed. Signal Process. Control., 2025

2023
Implementation of deep learning algorithms for automatic MRI segmentation and fat fraction quantification in individual muscles.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Context-Gan: Controllable Context Image Generation Using Gans.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

ConText-GAN: using contextual texture information for realistic and controllable medical image synthesis.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022
CNN-based fully automatic wrist cartilage volume quantification in MR Image.
CoRR, 2022

Dynamic-MRI quantification of abdominal wall motion and deformation during breathing and muscular contraction.
Comput. Methods Programs Biomed., 2022

2021
Medical image segmentation automatic quality control: A multi-dimensional approach.
Medical Image Anal., 2021

2019
Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2017
Individual muscle segmentation in MR images: A 3D propagation through 2D non-linear registration approaches.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017


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