Francisco Javier López-Tiro

41 papers B 4Journal 25Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
FedAgain: A Trust-Based and Robust Federated Learning Strategy for an Automated Kidney Stone Identification in Ureteroscopy.
CoRR
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Christian Daul, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz
2025 — conf
Assessing the Generalization Performance of SAM for Ureteroscopy Scene Understanding.
MIUA (2)
Martin Villagrana, Francisco Javier López-Tiro, Clément Larose, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Assessing the generalization performance of SAM for ureteroscopy scene understanding.
CoRR
Martin Villagrana, Francisco Javier López-Tiro, Clément Larose, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Corrections to "On the In Vivo Recognition of Kidney Stones Using Machine Learning".
IEEE Access
Francisco Javier López-Tiro, Vincent Estrade, Jacques Hubert, Daniel Flores-Araiza, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2025 B conf
Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy.
CBMS
Carlos Salazar-Ruiz, Francisco Javier López-Tiro, Iván Reyes-Amezcua, Clément Larose, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy.
CoRR
Carlos Salazar-Ruiz, Francisco Javier López-Tiro, Iván Reyes-Amezcua, Clément Larose, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Improving prototypical parts abstraction for case-based reasoning explanations designed for the kidney stone type recognition.
Artif. Intell. Medicine
Daniel Flores-Araiza, Francisco Javier López-Tiro, Clément Larose, Salvador Hinojosa, Andres Mendez-Vazquez, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2025 — conf
Robust Federated Anomaly Detection Using Dual-Signal Autoencoders: Application to Kidney Stone Identification in Ureteroscopy.
DEMI@MICCAI
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Christian Daul, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz
2025 — conf
Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs.
MICAI (2)"
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul
2025 J jnl
Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs.
CoRR
Iván Reyes-Amezcua, Francisco Javier López-Tiro, Clément Larose, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul
2024 J jnl
A metric learning approach for endoscopic kidney stone identification.
Expert Syst. Appl.
Jorge Gonzalez-Zapata, Francisco Javier López-Tiro, Elias Villalvazo-Avila, Daniel Flores-Araiza, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul, Andres Mendez-Vazquez
2024 J jnl
Evaluación causal de características en base a explicaciones de clasificadores profundos de imágenes médicas: Un estudio de caso sobre imágenes de cálculos renales ex-vivo.
Res. Comput. Sci.
Armando Villegas-Jiménez, Daniel Flores-Araiza, Francisco Javier López-Tiro, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2024 B conf
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition.
CBMS
Ruben Gonzalez-Perez, Francisco Javier López-Tiro, Iván Reyes-Amezcua, Luis Eduardo Falcón-Morales, Rosa-Maria Rodríguez-Guéant, Jacques Hubert, Michel Daudon, Gilberto Ochoa-Ruiz, Christian Daul
2024 J jnl
Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition.
CoRR
Ruben Gonzalez-Perez, Francisco Javier López-Tiro, Iván Reyes-Amezcua, Eduardo Falcon-Morales, Rosa-Maria Rodríguez-Guéant, Jacques Hubert, Michel Daudon, Gilberto Ochoa-Ruiz, Christian Daul
2024 B conf
Image Enhancement and Segmentation of Magnetic Resonance Cerebral Vessels Through Conventional and Deep Learning Techniques.
CBMS
Daniela Herrera, Francisco Javier López-Tiro, Josep Munuera, Christian Mata, Miguel González-Mendoza, Gilberto Ochoa-Ruiz
2024 J jnl
Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition.
CoRR
Daniel Flores-Araiza, Francisco Javier López-Tiro, Clément Larose, Salvador Hinojosa, Andres Mendez-Vazquez, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2024 J jnl
On the In Vivo Recognition of Kidney Stones Using Machine Learning.
IEEE Access
Francisco Javier López-Tiro, Vincent Estrade, Jacques Hubert, Daniel Flores-Araiza, Miguel González-Mendoza, Gilberto Ochoa, Christian Daul
2024 B conf
On the Link Between Model Performance and Causal Scoring of Medical Image Explanations.
CBMS
Daniel Flores-Araiza, Armando Villegas-Jiménez, Francisco Javier López-Tiro, Miguel González-Mendoza, Rosa-Maria Rodríguez-Guéant, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
A metric learning approach for endoscopic kidney stone identification.
CoRR
Jorge Gonzalez-Zapata, Francisco Javier López-Tiro, Elias Villalvazo-Avila, Daniel Flores-Araiza, Jacques Hubert, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz, Christian Daul
2023 — conf
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning.
MICAI (2)
Francisco Javier López-Tiro, Daniel Flores-Araiza, Juan Pablo Betancur-Rengifo, Iván Reyes-Amezcua, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images.
CoRR
Armando Villegas-Jiménez, Daniel Flores-Araiza, Francisco Javier López-Tiro, Gilberto Ochoa-Ruiz, Christian Daul
2023 — conf
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations.
CVPR Workshops
Daniel Flores-Araiza, Francisco Javier López-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations.
CoRR
Daniel Flores-Araiza, Francisco Javier López-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2023 — conf
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies.
ISBI
Elias Villalvazo-Avila, Francisco Javier López-Tiro, Mariana Rizo, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2023 — conf
Improving Automatic Endoscopic Stone Recognition Using a Multi-view Fusion Approach Enhanced with Two-Step Transfer Learning.
ICCV (Workshops)
Francisco Javier López-Tiro, Elias Villalvazo-Avila, Juan Pablo Betancur-Rengifo, Iván Reyes-Amezcua, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning.
CoRR
Francisco Javier López-Tiro, Elias Villalvazo-Avila, Juan Pablo Betancur-Rengifo, Jonathan El Beze, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
2023 J jnl
SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification.
CoRR
Mauricio Mendez-Ruiz, Jorge Gonzalez-Zapata, Iván Reyes-Amezcua, Daniel Flores-Araiza, Francisco Javier López-Tiro, Andres Mendez-Vazquez, Gilberto Ochoa-Ruiz
2022 J jnl
Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning.
CoRR
Francisco Javier López-Tiro, Juan Pablo Betancur-Rengifo, Arturo J. Ruiz-Sanchez, Iván Reyes-Amezcua, Jonathan El Beze, Jacques Hubert, Michel Daudon, Gilberto Ochoa-Ruiz, Christian Daul
2022 J jnl
Comparing feature fusion strategies for Deep Learning-based kidney stone identification.
CoRR
Elias Villalvazo-Avila, Francisco Javier López-Tiro, Daniel Flores-Araiza, Gilberto Ochoa-Ruiz, Jonathan El Beze, Jacques Hubert, Christian Daul
2022 J jnl
Evaluating object detector ensembles for improving the robustness of artifact detection in endoscopic video streams.
CoRR
Pedro Esteban Chavarrias-Solano, Carlos Axel Garcia-Vega, Francisco Javier López-Tiro, Gilberto Ochoa-Ruiz, Thomas Bazin, Dominique Lamarque, Christian Daul
2022 J jnl
Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies.
CoRR
Elias Villalvazo-Avila, Francisco Javier López-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza, Gilberto Ochoa-Ruiz, Christian Daul
2022 J jnl
Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images.
CoRR
Daniel Flores-Araiza, Francisco Javier López-Tiro, Elias Villalvazo-Avila, Jonathan El Beze, Jacques Hubert, Gilberto Ochoa-Ruiz, Christian Daul
2022 — conf
On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification.
MICAI (1)
Mauricio Mendez-Ruiz, Francisco Javier López-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Gilberto Ochoa-Ruiz, Miguel González-Mendoza, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul
2022 J jnl
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification.
CoRR
Mauricio Mendez-Ruiz, Francisco Javier López-Tiro, Jonathan El Beze, Vincent Estrade, Gilberto Ochoa-Ruiz, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul
2022 J jnl
On the in vivo recognition of kidney stones using machine learning.
CoRR
Gilberto Ochoa-Ruiz, Vincent Estrade, Francisco Javier López-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Dinh Hoan Trinh, Miguel González-Mendoza, Pascal Eschwege, Jacques Hubert, Christian Daul
2021 — conf
Assessing deep learning methods for the identification of kidney stones in endoscopic images.
EMBC
Francisco Javier López-Tiro, Andres Varelo, Oscar Hinojosa, Mauricio Mendez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Vincent Estrade, Miguel Gonzalez, Gilberto Ochoa, Christian Daul
2021 J jnl
Assessing deep learning methods for the identification of kidney stones in endoscopic images.
CoRR
Francisco Javier López-Tiro, Andres Varela, Oscar Hinojosa, Mauricio Mendez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Vincent Estrade, Miguel Gonzalez, Gilberto Ochoa, Christian Daul
2021 — conf
Localization of blood vessels in in-vitro LSCI images with K-means.
I2MTC
Francisco Javier López-Tiro, Hayde Peregrina-Barreto, José de Jesus Rangel-Magdaleno, Julio César Ramírez-San-Juan
2021 J jnl
Visualization of blood vessels in
Biomed. Signal Process. Control.
Francisco Javier López-Tiro, Hayde Peregrina-Barreto, Jose de Jesus Rangel-Magdaleno, Julio César Ramírez-San-Juan
2020 — conf
Effect of the Exposure Time in Laser Speckle Imaging for Improving Blood Vessels Localization: a Wavelet Approach.
I2MTC
Francisco Javier López-Tiro, Hayde Peregrina-Barreto, Jose de Jesus Rangel-Magdaleno, Julio César Ramírez-San-Juan, Juan Manuel Ramírez-Cortés
2019 — conf
Visualization of in-vitro Blood Vessels in Contrast Images Based on Discrete Wavelet Transform Decomposition.
I2MTC
Francisco Javier López-Tiro, Hayde Peregrina-Barreto, José de Jesus Rangel-Magdaleno, Julio César Ramírez-San-Juan