Publications 📑

Home • Publications • Research • News • CV • Coffee • Contact

Selected papers • Conferences

In this section, you can find my selected publications. Also you can find more information in my Google Academic profile. Each publication includes the indexed article, code and its poster and/or presentation. If you want the article (or any other item) write me an email or request it in my ResearchGate

Selected papers

A metric learning approach for endoscopic kidney stone identification. J. Gonzalez-Zapata, F. Lopez-Tiro, E. Villalvazo-Avila, D. Flores-Araiza, J. Hubert, G. Ochoa-Ruiz, C. Daul, A. Mendez-Vazquez. Expert Systems with Applications. [Paper] [ArXiV]
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition R. Gonzalez-Perez, F. Lopez-Tiro, I. Reyes-Amezcua, E. Falcon-Morales, RM. Rodríguez-Guéant, J. Hubert, M. Daudon, G. Ochoa-Ruiz, C. Daul. International Symposium on Computer-Based Medical Systems (CBMS) [Paper]
🌟 On the in vivo recognition of kidney stones using machine learning F. Lopez, V. Estrade, D. Flores-Araiza, M. Gonzalez-Mendoza, J. Hubert, G. Ochoa-Ruiz, and C. Daul. IEEE ACCCESS. [Paper] [ArXiV]
🌟 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, J. Hubert, G. Ochoa-Ruiz, C. Daul Proceedings of the 2023 IEEE/CVF International Conference on Computer Vision (ICCV). [Paper]
🌟 Boosting kidney stone identification in endoscopic images using two-step transfer learning. F. Lopez-Tiro, J. Betancur-Rengifo, D. Flores-Araiza, I. Reyes-Amezcua, J. Hubert, G. Ochoa-Ruiz, C. Daul. *Mexican International Conference on Artificial Intelligence (MICAI) [Paper] [ArXiV]
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, M. Gonzalez-Mendoza, G. Ochoa-Ruiz, C. Daul. 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). [ArXiV][Paper].
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, M. Gonzalez-Mendoza, J. Hubert, A. Mendez-Vazquez, C. Daul. Mexican International Conference on Artificial Intelligence (MICAI). [Paper] [ArXiV]
🌟 Assessing deep learning methods for the identification of kidney stones in endoscopic images. F. Lopez, A. Varela, O. Hinojosa, M. Mendez, D.H. Trinh, J. ElBeze, J. Hubert, V. Estrade, M. Gonzalez, G. Ochoa, C. Daul. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). [Paper] [arXiv] [Keynote] [Code] [Slides] [Poster] [Extended abstract]