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Journal Articles
- 2024
[j2]Francisco Javier Lopez-Tiro
, Vincent Estrade, Jacques Hubert, Daniel Flores-Araiza, Miguel González-Mendoza, Gilberto Ochoa, Christian Daul:
On the In Vivo Recognition of Kidney Stones Using Machine Learning. IEEE Access 12: 10736-10759 (2024)- [j1]Jorge Gonzalez-Zapata, Francisco Javier Lopez-Tiro, Elias Villalvazo-Avila, Daniel Flores-Araiza, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul, Andres Mendez-Vazquez:
A metric learning approach for endoscopic kidney stone identification. Expert Syst. Appl. 255: 124711 (2024)
Conference and Workshop Papers
- 2024
- [c10]Daniel Flores-Araiza, Armando Villegas-Jimenez, Francisco Javier Lopez-Tiro, Miguel González-Mendoza, Rosa-Maria Rodríguez-Guéant, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul:
On the Link Between Model Performance and Causal Scoring of Medical Image Explanations. CBMS 2024: 1-8 - 2023
- [c9]Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul:
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations. CVPR Workshops 2023: 295-304 - [c8]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 - [c7]Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Miguel González-Mendoza, Christian Mata, Gilberto Ochoa-Ruiz:
FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation. MICAI (2) 2023: 165-176 - [c6]Flor Helena Valencia, Daniel Flores-Araiza, Obed Cerda, Venkataraman Subramanian, Thomas de Lange, Gilberto Ochoa-Ruiz, Sharib Ali:
Image Captioning for Automated Grading and Understanding of Ulcerative Colitis. CaPTion@MICCAI 2023: 40-51 - [c5]Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Christian Mata:
Assessing the Performance of Deep Learning-Based Models for Prostate Cancer Segmentation Using Uncertainty Scores. CaPTion@MICCAI 2023: 83-93 - 2022
- [c4]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 - [c3]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 - [c2]Mauricio Mendez-Ruiz, Francisco Javier Lopez-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul:
On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification. MICAI (1) 2022: 249-263 - 2014
- [c1]Illiani Carro-Pérez, Daniel Flores-Araiza, Jesús Anselmo Fortoul-Díaz, Raúl Maximo, Hugo G. González-Hernández:
Identification and PID control for a quadrocopter. CONIELECOMP 2014: 77-82
Informal and Other Publications
- 2024
- [i12]Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Clément Larose, Salvador Hinojosa, Andres Mendez-Vazquez, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul:
Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition. CoRR abs/2409.12883 (2024) - 2023
- [i11]Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul:
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations. CoRR abs/2304.04077 (2023) - [i10]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) - [i9]Jorge Gonzalez-Zapata, Francisco Javier Lopez-Tiro, Elias Villalvazo-Avila, Daniel Flores-Araiza, Jacques Hubert, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul:
A metric learning approach for endoscopic kidney stone identification. CoRR abs/2307.07046 (2023) - [i8]Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Christian Mata:
Assessing the performance of deep learning-based models for prostate cancer segmentation using uncertainty scores. CoRR abs/2308.04653 (2023) - [i7]Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Miguel González-Mendoza, Christian Mata, Gilberto Ochoa-Ruiz:
FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation. CoRR abs/2309.01322 (2023) - [i6]Armando Villegas-Jimenez, Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Gilberto Ochoa-Ruiz, Christian Daul:
Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images. CoRR abs/2309.01921 (2023) - 2022
- [i5]Gilberto Ochoa-Ruiz, Vincent Estrade, Francisco Javier Lopez-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Dinh Hoan Trinh, Miguel González-Mendoza, Pascal Eschwege, Jacques Hubert, Christian Daul:
On the in vivo recognition of kidney stones using machine learning. CoRR abs/2201.08865 (2022) - [i4]Elias Villalvazo-Avila, Francisco Javier Lopez-Tiro, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Jonathan El Beze, Jacques Hubert, Christian Daul:
Comparing feature fusion strategies for Deep Learning-based kidney stone identification. CoRR abs/2206.00069 (2022) - [i3]Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Elias Villalvazo-Avila, Jonathan El Beze, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul:
Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images. CoRR abs/2206.00252 (2022) - [i2]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) - [i1]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)
Coauthor Index
aka: Gilberto Ochoa
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