Daniel Flores-Araiza

27 papers B 1Journal 17Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Corrections to "On the In Vivo Recognition of Kidney Stones Using Machine Learning".
IEEE Access
Francisco Javier López-Tiro, Vincent Estrade, Jacques Hubert, Daniel Flores-Araiza, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Improving prototypical parts abstraction for case-based reasoning explanations designed for the kidney stone type recognition.
Artif. Intell. Medicine
Daniel Flores-Araiza, Francisco Javier López-Tiro, Clément Larose, Salvador Hinojosa, Andres Mendez-Vazquez, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2024 J jnl
A metric learning approach for endoscopic kidney stone identification.
Expert Syst. Appl.
Jorge Gonzalez-Zapata, Francisco Javier López-Tiro, Elias Villalvazo-Avila, Daniel Flores-Araiza, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul, Andres Mendez-Vazquez
2024 J jnl
Evaluación causal de características en base a explicaciones de clasificadores profundos de imágenes médicas: Un estudio de caso sobre imágenes de cálculos renales ex-vivo.
Res. Comput. Sci.
Armando Villegas-Jiménez, Daniel Flores-Araiza, Francisco Javier López-Tiro, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2024 J jnl
Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition.
CoRR
Daniel Flores-Araiza, Francisco Javier López-Tiro, Clément Larose, Salvador Hinojosa, Andres Mendez-Vazquez, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2024 J jnl
On the In Vivo Recognition of Kidney Stones Using Machine Learning.
IEEE Access
Francisco Javier López-Tiro, Vincent Estrade, Jacques Hubert, Daniel Flores-Araiza, Miguel González-Mendoza, Gilberto Ochoa, Christian Daul
2024 B conf
On the Link Between Model Performance and Causal Scoring of Medical Image Explanations.
CBMS
Daniel Flores-Araiza, Armando Villegas-Jiménez, Francisco Javier López-Tiro, Miguel González-Mendoza, Rosa-Maria Rodríguez-Guéant, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
A metric learning approach for endoscopic kidney stone identification.
CoRR
Jorge Gonzalez-Zapata, Francisco Javier López-Tiro, Elias Villalvazo-Avila, Daniel Flores-Araiza, Jacques Hubert, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul
2023 — conf
Assessing the Performance of Deep Learning-Based Models for Prostate Cancer Segmentation Using Uncertainty Scores.
CaPTion@MICCAI
Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Christian Mata
2023 J jnl
Assessing the performance of deep learning-based models for prostate cancer segmentation using uncertainty scores.
CoRR
Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Christian Mata
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 J jnl
Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images.
CoRR
Armando Villegas-Jiménez, Daniel Flores-Araiza, Francisco Javier López-Tiro, Gilberto Ochoa-Ruiz, Christian Daul
2023 — conf
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations.
CVPR Workshops
Daniel Flores-Araiza, Francisco Javier López-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations.
CoRR
Daniel Flores-Araiza, Francisco Javier López-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2023 — conf
FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation.
MICAI (2)
Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Miguel González-Mendoza, Christian Mata, Gilberto Ochoa-Ruiz
2023 J jnl
FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation.
CoRR
Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, Miguel González-Mendoza, Christian Mata, Gilberto Ochoa-Ruiz
2023 — conf
Image Captioning for Automated Grading and Understanding of Ulcerative Colitis.
CaPTion@MICCAI
Flor Helena Valencia, Daniel Flores-Araiza, Obed Cerda, Venkataraman Subramanian, Thomas de Lange, Gilberto Ochoa-Ruiz, Sharib Ali
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
Comparing feature fusion strategies for Deep Learning-based kidney stone identification.
CoRR
Elias Villalvazo-Avila, Francisco Javier López-Tiro, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Jonathan El Beze, Jacques Hubert, 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 J jnl
Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images.
CoRR
Daniel Flores-Araiza, Francisco Javier López-Tiro, Elias Villalvazo-Avila, Jonathan El Beze, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
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
2022 — conf
On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification.
MICAI (1)
Mauricio Mendez-Ruiz, Francisco Javier López-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul
2022 J jnl
On the in vivo recognition of kidney stones using machine learning.
CoRR
Gilberto Ochoa-Ruiz, Vincent Estrade, Francisco Javier López-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Dinh Hoan Trinh, Miguel González-Mendoza, Pascal Eschwege, Jacques Hubert, Christian Daul
2014 — conf
Identification and PID control for a quadrocopter.
CONIELECOMP
Illiani Carro-Pérez, Daniel Flores-Araiza, Jesús Anselmo Fortoul-Díaz, Raúl Maximo, Hugo G. González-Hernández