Jonathan El Beze

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 13

Top Topics

Image Classification

Fusion Strategies

Endoscopic Images

Top Venues

Publications

Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations. CVPR Workshops (2023)
Elias Villalvazo-Avila, Francisco Javier Lopez-Tiro, Mariana Rizo, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies. ISBI (2023)
Francisco Lopez-Tiro, Elias Villalvazo-Avila, Juan Pablo Betancur-Rengifo, Jonathan El Beze, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning. CoRR (2023)
Daniel Flores-Araiza, Francisco Lopez-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations. CoRR (2023)
Francisco 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
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning. CoRR (2022)
Mauricio Mendez-Ruiz, Francisco Lopez-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul
On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification. MICAI (1) (2022)
Daniel Flores-Araiza, Francisco Lopez-Tiro, Elias Villalvazo-Avila, Jonathan El Beze, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images. CoRR (2022)
Elias Villalvazo-Avila, Francisco Lopez-Tiro, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Jonathan El Beze, Jacques Hubert, Christian Daul
Comparing feature fusion strategies for Deep Learning-based kidney stone identification. CoRR (2022)
Gilberto Ochoa-Ruiz, Vincent Estrade, Francisco Lopez, Daniel Flores-Araiza, Jonathan El Beze, Dinh Hoan Trinh, Miguel González-Mendoza, Pascal Eschwege, Jacques Hubert, Christian Daul
On the in vivo recognition of kidney stones using machine learning. CoRR (2022)
Mauricio Mendez-Ruiz, Francisco Lopez-Tiro, Jonathan El Beze, Vincent Estrade, Gilberto Ochoa-Ruiz, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification. CoRR (2022)
Elias Villalvazo-Avila, Francisco Lopez-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies. CoRR (2022)
Francisco Lopez, Andres Varela, Oscar Hinojosa, Mauricio Mendez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Vincent Estrade, Miguel Gonzalez, Gilberto Ochoa, Christian Daul
Assessing deep learning methods for the identification of kidney stones in endoscopic images. CoRR (2021)
Adriana Martínez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Pascal Eschwege, Vincent Estrade, Lina Aguilar, Christian Daul, Gilberto Ochoa
Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning. EMBC (2020)