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Author

Daniel Flores-Araiza

Observed names: D. Flores-Araiza, Flores-Araiza, Daniel
Observed institution: Tecnológico de Monterrey
ORCID: 0000-0002-0824-3598
Observed ORCID: 0000-0002-0824-3598
OpenAlex ID: A5058366337
On the In Vivo Recognition of Kidney Stones Using Machine Learning
2024 · Francisco Lopez-Tiro, Vincent Estrade, et al. · IEEE Access · 42
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Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning
2023 · Francisco Lopez-Tiro, Daniel Flores-Araiza, et al. · Lecture notes in computer science · 12
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Identification and PID control for a quadrocopter
2014 · I. Carro Perez, D. Flores-Araiza, et al. · International Conference on Electronics, Communications, and Computers · 10
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations
2023 · Daniel Flores-Araiza, Francisco Lopez-Tiro, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 9
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A metric learning approach for endoscopic kidney stone identification
2024 · Jorge Gonzalez-Zapata, Francisco Lopez-Tiro, et al. · Expert Systems with Applications · 8
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Guided Deep Metric Learning
2022 · Jorge Gonzalez-Zapata, Ivan Reyes-Amezcua, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 7
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On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification
2022 · Mauricio Mendez-Ruiz, Francisco Lopez-Tiro, et al. · Lecture notes in computer science · 6
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Image Captioning for Automated Grading and Understanding of Ulcerative Colitis
2023 · Flor Helena Valencia, Daniel Flores-Araiza, et al. · Lecture notes in computer science · 5
FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation
2023 · Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, et al. · Lecture notes in computer science · 3
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Improving prototypical parts abstraction for case-based reasoning explanations designed for the kidney stone type recognition
2025 · Daniel Flores-Araiza, Francisco Lopez-Tiro, et al. · Artificial Intelligence in Medicine · 2
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On the Link Between Model Performance and Causal Scoring of Medical Image Explanations
2024 · Daniel Flores-Araiza, Armando Villegas-Jimenez, et al. · IEEE International Symposium on Computer-Based Medical Systems (CBMS) · 2
Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images
2022 · Flores-Araiza, Daniel, Lopez-Tiro, Francisco, et al. · arXiv (Cornell University) · 2
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Comparing feature fusion strategies for Deep Learning-based kidney stone identification
2022 · Villalvazo-Avila, Elias, Lopez-Tiro, Francisco, et al. · arXiv (Cornell University) · 2
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SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification
2023 · Mendez-Ruiz, Mauricio, Gonzalez-Zapata, Jorge, et al. · arXiv (Cornell University) · 1
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MACFE: A Meta-learning and Causality Based Feature Engineering Framework
2022 · Ivan Reyes-Amezcua, Daniel Flores-Araiza, et al. · Lecture notes in computer science · 1
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Corrections to “On the In Vivo Recognition of Kidney Stones Using Machine Learning”
2025 · Francisco Lopez-Tiro, Vincent Estrade, et al. · IEEE Access
Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images
2023 · Villegas-Jimenez, Armando, Flores-Araiza, Daniel, et al. · arXiv (Cornell University)
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Enforcing Class Separability in Metric Learning Via Two Novel Distance-Based Loss Functions for Few-Shot Image Classification
2023 · Gilberto Ochoa-Ruiz, Mauricio Mendez-Ruiz, et al. · SSRN Electronic Journal
Assessing the Performance of Deep Learning-Based Models for Prostate Cancer Segmentation Using Uncertainty Scores
2023 · Pablo Cesar Quihui-Rubio, Daniel Flores-Araiza, et al. · Lecture notes in computer science
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Works count: 19
Citation count: 112
H-index: 6
I10-index: 3
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