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 (EMBC, 2020)

Assessing deep learning methods for the identification of kidney stones in endoscopic images. - Francisco Javier López-Tiro; Andres Varelo; Oscar Hinojosa; Mauricio Mendez; Dinh Hoan Trinh; Jonathan El Beze; Jacques Hubert; Vincent Estrade; Miguel Gonzalez 001; Gilberto Ochoa; Christian Daul (EMBC, 2021)

Assessing deep learning methods for the identification of kidney stones in endoscopic images. - Francisco Javier López-Tiro; Andres Varela; Oscar Hinojosa; Mauricio Mendez; Dinh Hoan Trinh; Jonathan El Beze; Jacques Hubert; Vincent Estrade; Miguel Gonzalez 001; Gilberto Ochoa; Christian Daul (CoRR, 2021)

On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification. - Mauricio Mendez-Ruiz; Francisco Javier López-Tiro; Daniel Flores-Araiza; Jonathan El Beze; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001; Jacques Hubert; Andres Mendez-Vazquez; Christian Daul (MICAI (1), 2022)

On the in vivo recognition of kidney stones using machine learning. - Gilberto Ochoa-Ruiz; Vincent Estrade; Francisco Javier López-Tiro; Daniel Flores-Araiza; Jonathan El Beze; Dinh Hoan Trinh; Miguel González-Mendoza 001; 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 López-Tiro; Jonathan El Beze; Vincent Estrade; Gilberto Ochoa-Ruiz; Jacques Hubert; Andres Mendez-Vazquez; Christian Daul (CoRR, 2022)

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)

Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning. - Francisco Javier López-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)

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)

Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations. - Daniel Flores-Araiza; Francisco Javier López-Tiro; Jonathan El Beze; Jacques Hubert; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (CVPR 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)