Comparing feature fusion strategies for Deep Learning-based kidney stone identification. - Elias Villalvazo-Avila; Francisco Javier López-Tiro; Daniel Flores-Araiza; Gilberto Ochoa-Ruiz; Jonathan El Beze; Jacques Hubert; Christian Daul (CoRR, 2022)

Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images. - Daniel Flores-Araiza; Francisco Javier López-Tiro; Elias Villalvazo-Avila; Jonathan El Beze; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2022)

Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies. - Elias Villalvazo-Avila; Francisco Javier López-Tiro; Jonathan El Beze; Jacques Hubert; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2022)

Improving Automatic Endoscopic Stone Recognition Using a Multi-view Fusion Approach Enhanced with Two-Step Transfer Learning. - Francisco Javier López-Tiro; Elias Villalvazo-Avila; Juan Pablo Betancur-Rengifo; Iván Reyes-Amezcua; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (ICCV (Workshops), 2023)

Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies. - Elias Villalvazo-Avila; Francisco Javier López-Tiro; Mariana Rizo; Jonathan El Beze; Jacques Hubert; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (ISBI, 2023)

Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning. - Francisco Javier López-Tiro; Elias Villalvazo-Avila; Juan Pablo Betancur-Rengifo; Jonathan El Beze; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2023)

A metric learning approach for endoscopic kidney stone identification. - Jorge Gonzalez-Zapata; Francisco Javier López-Tiro; Elias Villalvazo-Avila; Daniel Flores-Araiza; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul; Andres Mendez-Vazquez (Expert Syst. Appl., 2024)