Jonathan El Beze

According to our database, Jonathan El Beze authored at least 13 papers between 2020 and 2023.

Collaborative distances:

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

2023

Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning.

Francisco Javier Lopez-Tiro, Elias Villalvazo-Avila, Juan Pablo Betancur-Rengifo, Jonathan El Beze, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul

CoRR, 2023

Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies.

Elias Villalvazo-Avila, Francisco Javier Lopez-Tiro, Mariana Rizo, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul

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

Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations.

Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies.

Elias Villalvazo-Avila, Francisco Javier Lopez-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul

CoRR, 2022

Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning.

Francisco Javier Lopez-Tiro, Juan Pablo Betancur-Rengifo, Arturo J. Ruiz-Sanchez, Iván Reyes-Amezcua, Jonathan El Beze, Jacques Hubert, Michel Daudon, Gilberto Ochoa-Ruiz, Christian Daul

CoRR, 2022

Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images.

Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Elias Villalvazo-Avila, Jonathan El Beze, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul

CoRR, 2022

Comparing feature fusion strategies for Deep Learning-based kidney stone identification.

Elias Villalvazo-Avila, Francisco Javier Lopez-Tiro, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Jonathan El Beze, Jacques Hubert, Christian Daul

CoRR, 2022

On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification.

Mauricio Mendez-Ruiz, Francisco Javier Lopez-Tiro, Jonathan El Beze, Vincent Estrade, Gilberto Ochoa-Ruiz, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul

CoRR, 2022

On the in vivo recognition of kidney stones using machine learning.

Gilberto Ochoa-Ruiz, Vincent Estrade, Francisco Javier Lopez-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Dinh Hoan Trinh, Miguel González-Mendoza, Pascal Eschwege, Jacques Hubert, Christian Daul

CoRR, 2022

On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification.

Mauricio Mendez-Ruiz, Francisco Javier Lopez-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul

Proceedings of the Advances in Computational Intelligence, 2022

2021

Assessing deep learning methods for the identification of kidney stones in endoscopic images.

Francisco Javier Lopez-Tiro, Andres Varela, Oscar Hinojosa, Mauricio Mendez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Vincent Estrade, Miguel Gonzalez, Gilberto Ochoa, Christian Daul

CoRR, 2021

Assessing deep learning methods for the identification of kidney stones in endoscopic images.

Francisco Javier Lopez-Tiro, Andres Varelo, Oscar Hinojosa, Mauricio Mendez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Vincent Estrade, Miguel Gonzalez, Gilberto Ochoa, Christian Daul

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning.

Adriana Martínez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Pascal Eschwege, Vincent Estrade, Lina Aguilar, Christian Daul, Gilberto Ochoa

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020