Vincent Estrade

According to our database, Vincent Estrade authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

On the In Vivo Recognition of Kidney Stones Using Machine Learning.

Francisco Javier Lopez-Tiro, Vincent Estrade, Jacques Hubert, Daniel Flores-Araiza, Miguel González-Mendoza, Gilberto Ochoa, Christian Daul

IEEE Access, 2024

2022

Deep morphological recognition of kidney stones using intra-operative endoscopic digital videos.

Vincent Estrade, Michel Daudon, Emmanuel Richard, Jean-Christophe Bernhard, Franck Bladou, Gregoire Robert, Laurent Facq, Baudouin Denis de Senneville

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 Lopez-Tiro, Jonathan El Beze, Vincent Estrade, Gilberto Ochoa-Ruiz, Jacques Hubert, Andres Mendez-Vazquez, Christian Daul

CoRR, 2022

On the in vivo recognition of kidney stones using machine learning.

Gilberto Ochoa-Ruiz, Vincent Estrade, Francisco Javier Lopez-Tiro, Daniel Flores-Araiza, Jonathan El Beze, Dinh Hoan Trinh, Miguel González-Mendoza, Pascal Eschwege, Jacques Hubert, Christian Daul

CoRR, 2022

2021

Towards Automatic Recognition of Pure & Mixed Stones using Intraoperative Endoscopic Digital Images.

Vincent Estrade, Michel Daudon, Emmanuel Richard, Jean-Christophe Bernhard, Franck Bladou, Gregoire Robert, Baudouin Denis de Senneville

CoRR, 2021

Assessing deep learning methods for the identification of kidney stones in endoscopic images.

Francisco Javier Lopez-Tiro, Andres Varela, Oscar Hinojosa, Mauricio Mendez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Vincent Estrade, Miguel Gonzalez, Gilberto Ochoa, Christian Daul

CoRR, 2021

Assessing deep learning methods for the identification of kidney stones in endoscopic images.

Francisco Javier Lopez-Tiro, Andres Varelo, Oscar Hinojosa, Mauricio Mendez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Vincent Estrade, Miguel Gonzalez, Gilberto Ochoa, Christian Daul

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning.

Adriana Martínez, Dinh Hoan Trinh, Jonathan El Beze, Jacques Hubert, Pascal Eschwege, Vincent Estrade, Lina Aguilar, Christian Daul, Gilberto Ochoa

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020