Identification and PID control for a quadrocopter. - Illiani Carro-Pérez; Daniel Flores-Araiza; Jesús Anselmo Fortoul-Díaz; Raúl Maximo; Hugo G. González-Hernández (CONIELECOMP, 2014)

Guided Deep Metric Learning. - Jorge Gonzalez-Zapata; Iván Reyes-Amezcua; Daniel Flores-Araiza; Mauricio Mendez-Ruiz; Gilberto Ochoa-Ruiz; Andres Mendez-Vazquez (CVPR Workshops, 2022)

On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification. - Mauricio Mendez-Ruiz; Francisco Javier López-Tiro; Daniel Flores-Araiza; Jonathan El Beze; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001; Jacques Hubert; Andres Mendez-Vazquez; Christian Daul (MICAI (1), 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 (MICAI (1), 2022)

On the in vivo recognition of kidney stones using machine learning. - Gilberto Ochoa-Ruiz; Vincent Estrade; Francisco Javier López-Tiro; Daniel Flores-Araiza; Jonathan El Beze; Dinh Hoan Trinh; Miguel González-Mendoza 001; Pascal Eschwege; Jacques Hubert; Christian Daul (CoRR, 2022)

Comparing feature fusion strategies for Deep Learning-based kidney stone identification. - Elias Villalvazo-Avila; Francisco Javier López-Tiro; Daniel Flores-Araiza; Gilberto Ochoa-Ruiz; Jonathan El Beze; Jacques Hubert; Christian Daul (CoRR, 2022)

Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images. - Daniel Flores-Araiza; Francisco Javier López-Tiro; Elias Villalvazo-Avila; Jonathan El Beze; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2022)

Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations. - Daniel Flores-Araiza; Francisco Javier López-Tiro; Jonathan El Beze; Jacques Hubert; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (CVPR Workshops, 2023)

Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning. - Francisco Javier López-Tiro; Daniel Flores-Araiza; Juan Pablo Betancur-Rengifo; Iván Reyes-Amezcua; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (MICAI (2), 2023)

FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation. - Pablo Cesar Quihui-Rubio; Daniel Flores-Araiza; Miguel González-Mendoza 001; Christian Mata; Gilberto Ochoa-Ruiz (MICAI (2), 2023)

Assessing the Performance of Deep Learning-Based Models for Prostate Cancer Segmentation Using Uncertainty Scores. - Pablo Cesar Quihui-Rubio; Daniel Flores-Araiza; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001; Christian Mata (CaPTion@MICCAI, 2023)

Image Captioning for Automated Grading and Understanding of Ulcerative Colitis. - Flor Helena Valencia; Daniel Flores-Araiza; Obed Cerda; Venkataraman Subramanian; Thomas de Lange; Gilberto Ochoa-Ruiz; Sharib Ali (CaPTion@MICCAI, 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 López-Tiro; Andres Mendez-Vazquez; Gilberto Ochoa-Ruiz (CoRR, 2023)

Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images. - Armando Villegas-Jiménez; Daniel Flores-Araiza; Francisco Javier López-Tiro; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2023)

On the Link Between Model Performance and Causal Scoring of Medical Image Explanations. - Daniel Flores-Araiza; Armando Villegas-Jiménez; Francisco Javier López-Tiro; Miguel González-Mendoza 001; Rosa-Maria Rodríguez-Guéant; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (CBMS, 2024)

On the In Vivo Recognition of Kidney Stones Using Machine Learning. - Francisco Javier López-Tiro; Vincent Estrade; Jacques Hubert; Daniel Flores-Araiza; Miguel González-Mendoza 001; Gilberto Ochoa; Christian Daul (IEEE Access, 2024)

Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition. - Daniel Flores-Araiza; Francisco Javier López-Tiro; Clément Larose; Salvador Hinojosa; Andres Mendez-Vazquez; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2024)

A metric learning approach for endoscopic kidney stone identification. - Jorge Gonzalez-Zapata; Francisco Javier López-Tiro; Elias Villalvazo-Avila; Daniel Flores-Araiza; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul; Andres Mendez-Vazquez (Expert Syst. Appl., 2024)

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. - Armando Villegas-Jiménez; Daniel Flores-Araiza; Francisco Javier López-Tiro; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (Res. Comput. Sci., 2024)

Corrections to "On the In Vivo Recognition of Kidney Stones Using Machine Learning". - Francisco Javier López-Tiro; Vincent Estrade; Jacques Hubert; Daniel Flores-Araiza; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (IEEE Access, 2025)