Daniel Flores-Araiza

27 papers B 1Journal 17Unranked 9

Year	Rank	Type	Title / 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