Guided Deep Metric Learning. - Jorge Gonzalez-Zapata; Iván Reyes-Amezcua; Daniel Flores-Araiza; Mauricio Mendez-Ruiz; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez (CVPR Workshops, 2022)

MACFE: A Meta-learning and Causality Based Feature Engineering Framework. - Iván Reyes-Amezcua; Daniel Flores-Araiza; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez; Eduardo Rodriguez-Tello (MICAI (1), 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)

A Novel Framework for Fast Feature Selection Based on Multi-Stage Correlation Measures. - Ivan-Alejandro Garcia-Ramirez; Arturo Calderon-Mora; Andres Mendez-Vazquez; Susana Ortega-Cisneros; Iván Reyes-Amezcua (Mach. Learn. Knowl. Extr., 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)

Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning. - Francisco Javier López-Tiro; Daniel Flores-Araiza; Juan Pablo Betancur-Rengifo; Iván Reyes-Amezcua; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (MICAI (2), 2023)

SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification. - Mauricio Mendez-Ruiz; Jorge Gonzalez-Zapata; Iván Reyes-Amezcua; Daniel Flores-Araiza; Francisco Javier López-Tiro; Andres Mendez-Vazquez; Gilberto Ochoa-Ruiz (CoRR, 2023)

Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition. - Ruben Gonzalez-Perez; Francisco Javier López-Tiro; Iván Reyes-Amezcua; Luis Eduardo Falcón-Morales; Rosa-Maria Rodríguez-Guéant; Jacques Hubert; Michel Daudon; Gilberto Ochoa-Ruiz; Christian Daul (CBMS, 2024)

Enhancing Image Classification Robustness through Adversarial Sampling with Delta Data Augmentation (DDA). - Iván Reyes-Amezcua; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez (CVPR Workshops, 2024)

Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition. - Iván Reyes-Amezcua; Michael Rojas-Ruiz; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez; Christian Daul (MICAI (2), 2024)

EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction. - Iván Reyes-Amezcua; Ricardo Espinosa; Christian Daul; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez (DEMI@MICCAI, 2024)

Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition. - Ruben Gonzalez-Perez; Francisco Javier López-Tiro; Iván Reyes-Amezcua; Eduardo Falcon-Morales; Rosa-Maria Rodríguez-Guéant; Jacques Hubert; Michel Daudon; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2024)

Explorando la robustez adversaria ante el ataque adversario PGD de los modelos AlexNet, VGG y ResNet. - María Fernanda Castro-Sandoval; Iván Reyes-Amezcua; Andres Mendez-Vazquez (Res. Comput. Sci., 2024)

Análisis de impacto en clasificadores CNNs ante la evaluación de imágenes con perturbaciones naturales. - Robin A. Rojas-Álvarez; Iván Reyes-Amezcua; Andres Mendez-Vazquez (Res. Comput. Sci., 2024)

Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy. - Carlos Salazar-Ruiz; Francisco Javier López-Tiro; Iván Reyes-Amezcua; Clément Larose; Gilberto Ochoa-Ruiz; Christian Daul (CBMS, 2025)

Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs. - Iván Reyes-Amezcua; Francisco Javier López-Tiro; Clément Larose; Andres Mendez-Vazquez; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2025)