Daniel Flores-Araiza

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 22

Top Topics

Image Classification

Mahalanobis Metric

Metric Learning

Prostate Cancer

Top Venues

Publications

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 (2024)
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 (2024)
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)
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)
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)
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 (2023)
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)
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 (2023)
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 (2023)
Mauricio Mendez-Ruiz, Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Francisco 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 (2023)
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)
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)
Daniel Flores-Araiza, Francisco 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 (2023)
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 (2023)
Mauricio Mendez-Ruiz, Francisco 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)
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)
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 (2022)
Daniel Flores-Araiza, Francisco 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 (2022)
Elias Villalvazo-Avila, Francisco 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 (2022)
Gilberto Ochoa-Ruiz, Vincent Estrade, Francisco Lopez, 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 (2022)
Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Mauricio Mendez-Ruiz, Gilberto Ochoa-Ruiz, Andres Mendez-Vazquez
Guided Deep Metric Learning. CoRR (2022)
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)
Illiani Carro-Pérez, Daniel Flores-Araiza, Jesús A. Fortoul-Díaz, Raúl Maximo, Hugo G. González-Hernández
Identification and PID control for a quadrocopter. CONIELECOMP (2014)