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Daniel Flores-Araiza
Daniel Flores-Araiza
PhD. Student
Dirección de correo verificada de tec.mx - Página principal
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On the in vivo recognition of kidney stones using machine learning
G Ochoa-Ruiz, V Estrade, F Lopez, D Flores-Araiza, JE Beze, DH Trinh, ...
arXiv preprint arXiv:2201.08865, 2022
132022
Identification and PID control for a quadrocopter
IC Pérez, D Flores-Araiza, JA Fortoul-Díaz, R Maximo, ...
2014 International Conference on Electronics, Communications and Computers …, 2014
122014
Interpretable deep learning classifier by detection of prototypical parts on kidney stones images
D Flores-Araiza, F Lopez-Tiro, E Villalvazo-Avila, J El-Beze, J Hubert, ...
arXiv preprint arXiv:2206.00252, 2022
62022
Boosting kidney stone identification in endoscopic images using two-step transfer learning
F Lopez-Tiro, D Flores-Araiza, JP Betancur-Rengifo, I Reyes-Amezcua, ...
Mexican International Conference on Artificial Intelligence, 131-141, 2023
52023
Guided deep metric learning
J Gonzalez-Zapata, I Reyes-Amezcua, D Flores-Araiza, M Mendez-Ruiz, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
52022
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification
M Mendez-Ruiz, F Lopez-Tiro, D Flores-Araiza, J El-Beze, G Ochoa-Ruiz, ...
Mexican International Conference on Artificial Intelligence, 249-263, 2022
42022
Deep prototypical-parts ease morphological kidney stone identification and are competitively robust to photometric perturbations
D Flores-Araiza, F Lopez-Tiro, J El-Beze, J Hubert, M Gonzalez-Mendoza, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
32023
Comparing feature fusion strategies for Deep Learning-based kidney stone identification
E Villalvazo-Avila, F Lopez-Tiro, D Flores-Araiza, G Ochoa-Ruiz, ...
arXiv preprint arXiv:2206.00069, 2022
22022
A metric learning approach for endoscopic kidney stone identification
J Gonzalez-Zapata, F Lopez-Tiro, E Villalvazo-Avila, D Flores-Araiza, ...
arXiv preprint arXiv:2307.07046, 2023
12023
Macfe: A meta-learning and causality based feature engineering framework
I Reyes-Amezcua, D Flores-Araiza, G Ochoa-Ruiz, A Mendez-Vazquez, ...
Mexican International Conference on Artificial Intelligence, 52-65, 2022
12022
On the In Vivo Recognition of Kidney Stones Using Machine Learning
F Lopez-Tiro, V Estrade, J Hubert, D Flores-Araiza, M Gonzalez-Mendoza, ...
IEEE Access, 2024
2024
FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation
PC Quihui-Rubio, D Flores-Araiza, M Gonzalez-Mendoza, C Mata, ...
Mexican International Conference on Artificial Intelligence, 165-176, 2023
2023
Image Captioning for Automated Grading and Understanding of Ulcerative Colitis
FH Valencia, D Flores-Araiza, O Cerda, V Subramanian, T de Lange, ...
MICCAI Workshop on Cancer Prevention through Early Detection, 40-51, 2023
2023
Assessing the performance of deep learning-based models for prostate cancer segmentation using uncertainty scores
PC Quihui-Rubio, D Flores-Araiza, G Ochoa-Ruiz, M Gonzalez-Mendoza, ...
MICCAI Workshop on Cancer Prevention through Early Detection, 83-93, 2023
2023
Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images
A Villegas-Jimenez, D Flores-Araiza, F Lopez-Tiro
arXiv preprint arXiv:2309.01921, 2023
2023
Enforcing Class Separability in Metric Learning Via Two Novel Distance-Based Loss Functions for Few-Shot Image Classification
G Ochoa-Ruiz, M Mendez-Ruiz, J Gonzalez-Zapata, I Reyes-Amezcua, ...
Available at SSRN 4488078, 0
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Artículos 1–16