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ORCIDIván Reyes-Amezcua
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2020 – today
- 2024
[c8]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:
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition. CBMS 2024: 126-133- [c7]Iván Reyes-Amezcua, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez:
Enhancing Image Classification Robustness through Adversarial Sampling with Delta Data Augmentation (DDA). CVPR Workshops 2024: 274-283 - [c6]Iván Reyes-Amezcua, Michael Rojas-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Christian Daul:
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition. MICAI (2) 2024: 168-181 - [c5]Iván Reyes-Amezcua, Ricardo Espinosa, Christian Daul, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez:
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction. DEMI@MICCAI 2024: 84-94 - [i7]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:
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition. CoRR abs/2409.13409 (2024) - [i6]Iván Reyes-Amezcua, Ricardo Espinosa, Christian Daul, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez:
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction. CoRR abs/2409.19930 (2024) - [i5]Iván Reyes-Amezcua, Michael Rojas-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Christian Daul:
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition. CoRR abs/2409.19934 (2024) - 2023
- [c4]Francisco Javier Lopez-Tiro, Elias Villalvazo-Avila, Juan Pablo Betancur-Rengifo, Iván Reyes-Amezcua, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul:
Improving Automatic Endoscopic Stone Recognition Using a Multi-view Fusion Approach Enhanced with Two-Step Transfer Learning. ICCV (Workshops) 2023: 4167-4174 - [c3]Francisco Javier Lopez-Tiro, Daniel Flores-Araiza, Juan Pablo Betancur-Rengifo, Iván Reyes-Amezcua, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul:
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning. MICAI (2) 2023: 131-141 - [i4]Mauricio Mendez-Ruiz, Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz:
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 abs/2305.09062 (2023) - 2022
- [j1]Ivan-Alejandro Garcia-Ramirez
, Arturo Calderon-Mora, Andres Mendez-Vazquez, Susana Ortega-Cisneros, Iván Reyes-Amezcua:
A Novel Framework for Fast Feature Selection Based on Multi-Stage Correlation Measures. Mach. Learn. Knowl. Extr. 4(1): 131-149 (2022) - [c2]Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez:
Guided Deep Metric Learning. CVPR Workshops 2022: 1480-1488 - [c1]Iván Reyes-Amezcua, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello:
MACFE: A Meta-learning and Causality Based Feature Engineering Framework. MICAI (1) 2022: 52-65 - [i3]Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez:
Guided Deep Metric Learning. CoRR abs/2206.02029 (2022) - [i2]Iván Reyes-Amezcua, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez, Eduardo Rodriguez-Tello:
MACFE: A Meta-learning and Causality Based Feature Engineering Framework. CoRR abs/2207.04010 (2022) - [i1]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:
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning. CoRR abs/2210.13654 (2022)
Coauthor Index
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