Visualization of in-vitro Blood Vessels in Contrast Images Based on Discrete Wavelet Transform Decomposition. - Francisco Javier López-Tiro; Hayde Peregrina-Barreto; José de Jesus Rangel-Magdaleno; Julio Cesar Ramirez-San-Juan (I2MTC, 2019)

Effect of the Exposure Time in Laser Speckle Imaging for Improving Blood Vessels Localization: a Wavelet Approach. - Francisco Javier López-Tiro; Hayde Peregrina-Barreto; Jose de Jesus Rangel-Magdaleno; Julio Cesar Ramirez-San-Juan; Juan Manuel Ramírez-Cortés (I2MTC, 2020)

Assessing deep learning methods for the identification of kidney stones in endoscopic images. - Francisco Javier López-Tiro; Andres Varelo; Oscar Hinojosa; Mauricio Mendez; Dinh Hoan Trinh; Jonathan El Beze; Jacques Hubert; Vincent Estrade; Miguel Gonzalez 001; Gilberto Ochoa; Christian Daul (EMBC, 2021)

Localization of blood vessels in in-vitro LSCI images with K-means. - Francisco Javier López-Tiro; Hayde Peregrina-Barreto; José de Jesus Rangel-Magdaleno; Julio Cesar Ramirez-San-Juan (I2MTC, 2021)

Visualization of blood vessels in in vitro raw speckle images using an energy-based on DWT coefficients. - Francisco Javier López-Tiro; Hayde Peregrina-Barreto; Jose de Jesus Rangel-Magdaleno; Julio Cesar Ramirez-San-Juan (Biomed. Signal Process. Control., 2021)

Assessing deep learning methods for the identification of kidney stones in endoscopic images. - Francisco Javier López-Tiro; Andres Varela; Oscar Hinojosa; Mauricio Mendez; Dinh Hoan Trinh; Jonathan El Beze; Jacques Hubert; Vincent Estrade; Miguel Gonzalez 001; Gilberto Ochoa; Christian Daul (CoRR, 2021)

On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification. - Mauricio Mendez-Ruiz; Francisco Javier López-Tiro; Daniel Flores-Araiza; Jonathan El Beze; Gilberto Ochoa-Ruiz; Miguel González-Mendoza 001; Jacques Hubert; Andres Mendez-Vazquez; Christian Daul (MICAI (1), 2022)

On the in vivo recognition of kidney stones using machine learning. - Gilberto Ochoa-Ruiz; Vincent Estrade; Francisco Javier López-Tiro; Daniel Flores-Araiza; Jonathan El Beze; Dinh Hoan Trinh; Miguel González-Mendoza 001; Pascal Eschwege; Jacques Hubert; Christian Daul (CoRR, 2022)

On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification. - Mauricio Mendez-Ruiz; Francisco Javier López-Tiro; Jonathan El Beze; Vincent Estrade; Gilberto Ochoa-Ruiz; Jacques Hubert; Andres Mendez-Vazquez; Christian Daul (CoRR, 2022)

Comparing feature fusion strategies for Deep Learning-based kidney stone identification. - Elias Villalvazo-Avila; Francisco Javier López-Tiro; Daniel Flores-Araiza; Gilberto Ochoa-Ruiz; Jonathan El Beze; Jacques Hubert; Christian Daul (CoRR, 2022)

Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images. - Daniel Flores-Araiza; Francisco Javier López-Tiro; Elias Villalvazo-Avila; Jonathan El Beze; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2022)

Evaluating object detector ensembles for improving the robustness of artifact detection in endoscopic video streams. - Pedro Esteban Chavarrias-Solano; Carlos Axel Garcia-Vega; Francisco Javier López-Tiro; Gilberto Ochoa-Ruiz; Thomas Bazin; Dominique Lamarque; Christian Daul (CoRR, 2022)

Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning. - 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 (CoRR, 2022)

Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies. - Elias Villalvazo-Avila; Francisco Javier López-Tiro; Jonathan El Beze; Jacques Hubert; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2022)

Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations. - Daniel Flores-Araiza; Francisco Javier López-Tiro; Jonathan El Beze; Jacques Hubert; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (CVPR Workshops, 2023)

Improving Automatic Endoscopic Stone Recognition Using a Multi-view Fusion Approach Enhanced with Two-Step Transfer Learning. - Francisco Javier López-Tiro; Elias Villalvazo-Avila; Juan Pablo Betancur-Rengifo; Iván Reyes-Amezcua; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (ICCV (Workshops), 2023)

Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies. - Elias Villalvazo-Avila; Francisco Javier López-Tiro; Mariana Rizo; Jonathan El Beze; Jacques Hubert; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (ISBI, 2023)

Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning. - Francisco Javier López-Tiro; Daniel Flores-Araiza; Juan Pablo Betancur-Rengifo; Iván Reyes-Amezcua; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (MICAI (2), 2023)

Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning. - Francisco Javier López-Tiro; Elias Villalvazo-Avila; Juan Pablo Betancur-Rengifo; Jonathan El Beze; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2023)

SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification. - Mauricio Mendez-Ruiz; Jorge Gonzalez-Zapata; Iván Reyes-Amezcua; Daniel Flores-Araiza; Francisco Javier López-Tiro; Andres Mendez-Vazquez; Gilberto Ochoa-Ruiz (CoRR, 2023)

Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images. - Armando Villegas-Jiménez; Daniel Flores-Araiza; Francisco Javier López-Tiro; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2023)

On the Link Between Model Performance and Causal Scoring of Medical Image Explanations. - Daniel Flores-Araiza; Armando Villegas-Jiménez; Francisco Javier López-Tiro; Miguel González-Mendoza 001; Rosa-Maria Rodríguez-Guéant; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul (CBMS, 2024)

Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition. - 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 (CBMS, 2024)

Image Enhancement and Segmentation of Magnetic Resonance Cerebral Vessels Through Conventional and Deep Learning Techniques. - Daniela Herrera; Francisco Javier López-Tiro; Josep Munuera; Christian Mata; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz (CBMS, 2024)

On the In Vivo Recognition of Kidney Stones Using Machine Learning. - Francisco Javier López-Tiro; Vincent Estrade; Jacques Hubert; Daniel Flores-Araiza; Miguel González-Mendoza 001; Gilberto Ochoa; Christian Daul (IEEE Access, 2024)

Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition. - Daniel Flores-Araiza; Francisco Javier López-Tiro; Clément Larose; Salvador Hinojosa; Andres Mendez-Vazquez; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (CoRR, 2024)

Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition. - 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 (CoRR, 2024)

A metric learning approach for endoscopic kidney stone identification. - Jorge Gonzalez-Zapata; Francisco Javier López-Tiro; Elias Villalvazo-Avila; Daniel Flores-Araiza; Jacques Hubert; Gilberto Ochoa-Ruiz; Christian Daul; Andres Mendez-Vazquez (Expert Syst. Appl., 2024)

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. - Armando Villegas-Jiménez; Daniel Flores-Araiza; Francisco Javier López-Tiro; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (Res. Comput. Sci., 2024)

Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy. - Carlos Salazar-Ruiz; Francisco Javier López-Tiro; Iván Reyes-Amezcua; Clément Larose; Gilberto Ochoa-Ruiz; Christian Daul (CBMS, 2025)

Assessing the Generalization Performance of SAM for Ureteroscopy Scene Understanding. - Martin Villagrana; Francisco Javier López-Tiro; Clément Larose; Gilberto Ochoa-Ruiz; Christian Daul (MIUA (2), 2025)

Corrections to "On the In Vivo Recognition of Kidney Stones Using Machine Learning". - Francisco Javier López-Tiro; Vincent Estrade; Jacques Hubert; Daniel Flores-Araiza; Miguel González-Mendoza 001; Gilberto Ochoa-Ruiz; Christian Daul (IEEE Access, 2025)