| 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 | 15 | 2014 |
| 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 | 14* | 2022 |
| 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 | 6 | 2022 |
| 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 | 5 | 2023 |
| 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 | 5 | 2022 |
| 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 | 4 | 2022 |
| 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 | 3 | 2023 |
| 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 | 2 | 2022 |
| A metric learning approach for endoscopic kidney stone identification J Gonzalez-Zapata, F Lopez-Tiro, E Villalvazo-Avila, D Flores-Araiza, ... Expert Systems with Applications, 124711, 2024 | 1 | 2024 |
| SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification M Mendez-Ruiz, J Gonzalez-Zapata, I Reyes-Amezcua, D Flores-Araiza, ... arXiv preprint arXiv:2305.09062, 2023 | 1 | 2023 |
| 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 | 1 | 2022 |
| 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 | | |
Gilberto Ochoa-RuizTec de Monterrey, CV-inside lab, Advanced AI Research Group在 tec.mx 的电子邮件经过验证
