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A metric learning approach for endoscopic kidney stone identification., , , , , , , и . CoRR, (2023)Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images., , , , , , и . CoRR, (2022)On the in vivo recognition of kidney stones using machine learning., , , , , , , , , и . CoRR, (2022)Causal Scoring Medical Image Explanations: A Case Study On Ex-vivo Kidney Stone Images., , , , и . CoRR, (2023)Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning., , , , , , и . MICAI (2), том 14392 из Lecture Notes in Computer Science, стр. 131-141. Springer, (2023)MACFE: A Meta-learning and Causality Based Feature Engineering Framework., , , , и . MICAI (1), том 13612 из Lecture Notes in Computer Science, стр. 52-65. Springer, (2022)Identification and PID control for a quadrocopter., , , , и . CONIELECOMP, стр. 77-82. IEEE, (2014)On the In Vivo Recognition of Kidney Stones Using Machine Learning., , , , , , и . IEEE Access, (2024)Assessing the Performance of Deep Learning-Based Models for Prostate Cancer Segmentation Using Uncertainty Scores., , , , и . CaPTion@MICCAI, том 14295 из Lecture Notes in Computer Science, стр. 83-93. Springer, (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., , , , , , и . CoRR, (2023)