David Bendahan

According to our database, David Bendahan authored at least 8 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Implementation of deep learning algorithms for automatic MRI segmentation and fat fraction quantification in individual muscles.

Sandra Martin, Amira Trabelsi, Rémi Andre, Julien Wojak, Etienne Fortanier, Shahram Attatian, Maxime Guye, Marc Dubois, Redha Abdeddaim, David Bendahan

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Context-Gan: Controllable Context Image Generation Using Gans.

Marc-Adrien Hostin, Vladimir Sivtsov, Shahram Attarian, David Bendahan, Marc-Emmanuel Bellemare

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

ConText-GAN: using contextual texture information for realistic and controllable medical image synthesis.

Marc-Adrien Hostin, Shahram Attarian, David Bendahan, Marc-Emmanuel Bellemare

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.

Nikita Vladimirov, Ekaterina Brui, Anatoliy Levchuk, Vladimir A. Fokin, Aleksandr Yu. Efimtcev, David Bendahan

CoRR, 2022

Dynamic-MRI quantification of abdominal wall motion and deformation during breathing and muscular contraction.

Arthur Jourdan, Stanislas Rapacchi, Maxime Guye, David Bendahan, Catherine Masson, Thierry Bège

Comput. Methods Programs Biomed., 2022

2021

Medical image segmentation automatic quality control: A multi-dimensional approach.

Joris Fournel, Axel Bartoli, David Bendahan, Maxime Guye, Monique Bernard, Elisa Rauseo, Mohammed Y. Khanji, Steffen E. Petersen, Alexis Jacquier, Badih Ghattas

Medical Image Anal., 2021

2019

Automatic Segmentation of Muscle Tissue and Inter-muscular Fat in Thigh and Calf MRI Images.

Rula Amer, Jannette Nassar, David Bendahan, Hayit Greenspan, Noam Ben-Eliezer

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.

Augustin Ogier, Michaël Sdika, Alexandre Foure, Arnaud Le Troter, David Bendahan

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017