Daniel Flores-Araiza, Francisco Javier Lopez-Tiro, Jonathan El Beze, Jacques Hubert, Miguel González-Mendoza 0001, Gilberto Ochoa-Ruiz, Christian Daul. Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 - Workshops, Vancouver, BC, Canada, June 17-24, 2023. pages 295-304, IEEE, 2023. [doi]
@inproceedings{FloresAraizaLBHGOD23,
title = {Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations},
author = {Daniel Flores-Araiza and Francisco Javier Lopez-Tiro and Jonathan El Beze and Jacques Hubert and Miguel González-Mendoza 0001 and Gilberto Ochoa-Ruiz and Christian Daul},
year = {2023},
doi = {10.1109/CVPRW59228.2023.00035},
url = {https://doi.org/10.1109/CVPRW59228.2023.00035},
researchr = {https://researchr.org/publication/FloresAraizaLBHGOD23},
cites = {0},
citedby = {0},
pages = {295-304},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023 - Workshops, Vancouver, BC, Canada, June 17-24, 2023},
publisher = {IEEE},
isbn = {979-8-3503-0249-3},
}