Iván Reyes-Amezcua

24 papers B 2Journal 13Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
FedAgain: A Trust-Based and Robust Federated Learning Strategy for an Automated Kidney Stone Identification in Ureteroscopy.
CoRR
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Christian Daul, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz
2025 B conf
Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy.
CBMS
Carlos Salazar-Ruiz, Francisco Javier López-Tiro, Iván Reyes-Amezcua, Clément Larose, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy.
CoRR
Carlos Salazar-Ruiz, Francisco Javier López-Tiro, Iván Reyes-Amezcua, Clément Larose, Gilberto Ochoa-Ruiz, Christian Daul
2025 — conf
Robust Federated Anomaly Detection Using Dual-Signal Autoencoders: Application to Kidney Stone Identification in Ureteroscopy.
DEMI@MICCAI
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Christian Daul, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz
2025 — conf
Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs.
MICAI (2)"
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs.
CoRR
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul
2024 J jnl
Análisis de impacto en clasificadores CNNs ante la evaluación de imágenes con perturbaciones naturales.
Res. Comput. Sci.
Robin A. Rojas-Álvarez, Iván Reyes-Amezcua, Andres Mendez-Vazquez
2024 — conf
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction.
DEMI@MICCAI
Iván Reyes-Amezcua, Ricardo Espinosa, Christian Daul, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2024 J jnl
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction.
CoRR
Iván Reyes-Amezcua, Ricardo Espinosa, Christian Daul, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2024 — conf
Enhancing Image Classification Robustness through Adversarial Sampling with Delta Data Augmentation (DDA).
CVPR Workshops
Iván Reyes-Amezcua, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2024 B conf
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition.
CBMS
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
2024 J jnl
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition.
CoRR
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
2024 J jnl
Explorando la robustez adversaria ante el ataque adversario PGD de los modelos AlexNet, VGG y ResNet.
Res. Comput. Sci.
María Fernanda Castro-Sandoval, Iván Reyes-Amezcua, Andres Mendez-Vazquez
2024 — conf
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition.
MICAI (2)
Iván Reyes-Amezcua, Michael Rojas-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Christian Daul
2024 J jnl
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition.
CoRR
Iván Reyes-Amezcua, Michael Rojas-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Christian Daul
2023 — conf
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning.
MICAI (2)
Francisco Javier López-Tiro, Daniel Flores-Araiza, Juan Pablo Betancur-Rengifo, Iván Reyes-Amezcua, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
2023 — conf
Improving Automatic Endoscopic Stone Recognition Using a Multi-view Fusion Approach Enhanced with Two-Step Transfer Learning.
ICCV (Workshops)
Francisco Javier López-Tiro, Elias Villalvazo-Avila, Juan Pablo Betancur-Rengifo, Iván Reyes-Amezcua, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification.
CoRR
Mauricio Mendez-Ruiz, Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Francisco Javier López-Tiro, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz
2022 J jnl
A Novel Framework for Fast Feature Selection Based on Multi-Stage Correlation Measures.
Mach. Learn. Knowl. Extr.
Ivan-Alejandro Garcia-Ramirez, Arturo Calderon-Mora, Andres Mendez-Vazquez, Susana Ortega-Cisneros, Iván Reyes-Amezcua
2022 J jnl
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning.
CoRR
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
2022 — conf
Guided Deep Metric Learning.
CVPR Workshops
Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2022 J jnl
Guided Deep Metric Learning.
CoRR
Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
2022 — conf
MACFE: A Meta-learning and Causality Based Feature Engineering Framework.
MICAI (1)
Iván Reyes-Amezcua, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello
2022 J jnl
MACFE: A Meta-learning and Causality Based Feature Engineering Framework.
CoRR
Iván Reyes-Amezcua, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello