Iván Reyes-Amezcua

According to our database, Iván Reyes-Amezcua authored at least 12 papers between 2022 and 2024.

Collaborative distances:

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

2024

Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition.

Ruben Gonzalez-Perez, Francisco Javier Lopez-Tiro, Iván Reyes-Amezcua, Eduardo Falcon-Morales, Rosa-Maria Rodríguez-Guéant, Jacques Hubert, Michel Daudon, Gilberto Ochoa-Ruiz, Christian Daul

CoRR, 2024

EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction.

Iván Reyes-Amezcua, Ricardo Espinosa, Christian Daul, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez

Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 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

Proceedings of the Advances in Soft Computing, 2024

Enhancing Image Classification Robustness through Adversarial Sampling with Delta Data Augmentation (DDA).

Iván Reyes-Amezcua, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition.

Ruben Gonzalez-Perez, Francisco Javier Lopez-Tiro, Iván Reyes-Amezcua, Luis Eduardo Falcón-Morales, Rosa-Maria Rodríguez-Guéant, Jacques Hubert, Michel Daudon, Gilberto Ochoa-Ruiz, Christian Daul

Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

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 Lopez-Tiro, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz

CoRR, 2023

Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning.

Francisco Javier Lopez-Tiro, Daniel Flores-Araiza, Juan Pablo Betancur-Rengifo, Iván Reyes-Amezcua, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul

Proceedings of the Advances in Soft Computing, 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

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

Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning.

Francisco Javier Lopez-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

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

Proceedings of the Advances in Computational Intelligence, 2022

Guided Deep Metric Learning.

Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022