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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. Beze, G. Ochoa-Ruiz, M. González-Mendoza, J. Hubert, A. Mendez-Vazquez, and C. Daul. MICAI (1), volume 13612 of Lecture Notes in Computer Science, page 249-263. Springer, (2022)

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Patrícia Bezerra Gomes

Manuela Bezen

Eugen Bezel

Aleksej Bezeluk

Oliver Bezençon

Other publications of authors with the same name

Towards an automated classification method for ureteroscopic kidney stone images using ensemble learning.A. Martínez, D. Trinh, J. Beze, J. Hubert, P. Eschwege, V. Estrade, L. Aguilar, C. Daul, and G. Ochoa. EMBC, page 1936-1939. IEEE, (2020)Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning.F. Lopez-Tiro, E. Villalvazo-Avila, J. Betancur-Rengifo, J. Beze, J. Hubert, G. Ochoa-Ruiz, and C. Daul. CoRR, (2023)Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies.E. Villalvazo-Avila, F. Lopez-Tiro, J. Beze, J. Hubert, M. González-Mendoza, G. Ochoa-Ruiz, and C. Daul. CoRR, (2022)Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies.E. Villalvazo-Avila, F. Lopez-Tiro, M. Rizo, J. Beze, J. Hubert, M. González-Mendoza, G. Ochoa-Ruiz, and C. Daul. ISBI, page 1-5. IEEE, (2023)Assessing deep learning methods for the identification of kidney stones in endoscopic images.F. Lopez-Tiro, A. Varelo, O. Hinojosa, M. Mendez, D. Trinh, J. Beze, J. Hubert, V. Estrade, M. Gonzalez, G. Ochoa and 1 other author(s). EMBC, page 2778-2781. IEEE, (2021)Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning.F. Lopez-Tiro, J. Betancur-Rengifo, A. Ruiz-Sanchez, I. Reyes-Amezcua, J. Beze, J. Hubert, M. Daudon, G. Ochoa-Ruiz, and C. Daul. CoRR, (2022)On the in vivo recognition of kidney stones using machine learning.G. Ochoa-Ruiz, V. Estrade, F. Lopez-Tiro, D. Flores-Araiza, J. Beze, D. Trinh, M. González-Mendoza, P. Eschwege, J. Hubert, and C. Daul. CoRR, (2022)Assessing deep learning methods for the identification of kidney stones in endoscopic images.F. Lopez-Tiro, A. Varela, O. Hinojosa, M. Mendez, D. Trinh, J. Beze, J. Hubert, V. Estrade, M. Gonzalez, G. Ochoa and 1 other author(s). CoRR, (2021)Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images.D. Flores-Araiza, F. Lopez-Tiro, E. Villalvazo-Avila, J. Beze, J. Hubert, G. Ochoa-Ruiz, and C. Daul. CoRR, (2022)Comparing feature fusion strategies for Deep Learning-based kidney stone identification.E. Villalvazo-Avila, F. Lopez-Tiro, D. Flores-Araiza, G. Ochoa-Ruiz, J. Beze, J. Hubert, and C. Daul. CoRR, (2022)

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Disambiguation of "Beze, Jonathan El"

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On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification.

Please choose a person to relate this publication to

Patrícia Bezerra Gomes

Manuela Bezen

Eugen Bezel

Aleksej Bezeluk

Oliver Bezençon

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Beze, Jonathan El"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification.

Please choose a person to relate this publication to

Patrícia Bezerra Gomes

Manuela Bezen

Eugen Bezel

Aleksej Bezeluk

Oliver Bezençon

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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On the Generalization Capabilities of FSL Methods Through Domain Adaptation: A Case Study in Endoscopic Kidney Stone Image Classification.