| Assessing deep learning methods for the identification of kidney stones in endoscopic images F Lopez-Tiro, A Varela, O Hinojosa, M Mendez, DH Trinh, J ElBeze, ... 43rd Annual International Conference of the IEEE Engineering in Medicine …, 2021 | 41 | 2021 |
| 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 12, 10736-10759, 2024 | 27* | 2024 |
| Boosting kidney stone identification in endoscopic images using two-step transfer learning F Lopez-Tiro, JP Betancur-Rengifo, D Flores-Araiza, I Reyes-Amezcua, ... Mexican International Conference on Artificial Intelligence, 131-141, 2023 | 10 | 2023 |
| Improved kidney stone recognition through attention and multi-view feature fusion strategies E Villalvazo-Avila, F Lopez-Tiro, M Rizo, J El-Beze, J Hubert, ... 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 10* | 2023 |
| Localization of Blood Vessels in In-Vitro LSCI Images with K-Means F Lopez-Tiro, H Peregrina-Barreto, J Rangel-Magdaleno, ... 2021 IEEE International Instrumentation and Measurement Technology …, 2021 | 10 | 2021 |
| 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 | 9 | 2023 |
| Effect of the exposure time in laser speckle imaging for improving blood vessels localization: a wavelet approach F Lopez-Tiro, H Peregrina-Barreto, J Rangel-Magdaleno, ... 2020 IEEE International Instrumentation and Measurement Technology …, 2020 | 8 | 2020 |
| Visualization of in-vitro blood vessels in contrast images based on discrete wavelet transform decomposition F Lopez-Tiro, H Peregrina-Barreto, J Rangel-Magdaleno, ... 2019 IEEE International Instrumentation and Measurement Technology …, 2019 | 8 | 2019 |
| 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 | 7 | 2022 |
| Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning F Lopez-Tiro, E Villalvazo-Avila, JP Betancur-Rengifo, I Reyes-Amezcua, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| 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 255, 124711, 2024 | 2 | 2024 |
| Visualization of blood vessels in in-vitro raw speckle images using an energy-based on DWT coefficients FJ Lopez-Tiro, H Peregrina-Barreto, J de Jesus Rangel-Magdaleno, ... Biomedical Signal Processing and Control 69, 102892, 2021 | 1 | 2021 |
| Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition R Gonzalez-Perez, F Lopez-Tiro, I Reyes-Amezcua, E Falcon-Morales, ... 2024 IEEE 37th International Symposium on Computer-Based Medical Systems …, 2024 | | 2024 |
Gilberto Ochoa-RuizTec de Monterrey, CV-inside lab, Advanced AI Research GroupVerified email at tec.mx