Elias Villalvazo-Avila

According to our database, Elias Villalvazo-Avila authored at least 7 papers between 2022 and 2023.

Collaborative distances:

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

2023

A metric learning approach for endoscopic kidney stone identification.

Jorge Gonzalez-Zapata, Francisco Javier Lopez-Tiro, Elias Villalvazo-Avila, Daniel Flores-Araiza, Jacques Hubert, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul

CoRR, 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

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, Iván Reyes-Amezcua, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

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