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F. J. Sáez-Maldonado

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Open access Sep 2026

A Multicenter Whole Slide Image Dataset for Classification and Out-of-Distribution Detection in Spindle Cell Cutaneous Neoplasms

Cutaneous spindle cell (CSC) neoplasms are a notoriously challenging diagnostic group within the spectrum of skin malignancies. While specialized CSC neoplasm datasets like AI4SKIN have enabled the development of AI whole-slide image (WSI) classification methods, these methods are largely constrained by closed-set de...

F. J. Sáez-Maldonado, J. Mateos, Pablo Meseguer Esbri et al. · 0 citations
#machine learning Preprint Oct 2026

Contrastive Linearized Laplace: Loss Geometry, Valid Repairs, and Reliable Cores

While contrastive learning is widely used to learn deterministic representations, it does not inherently provide estimates of uncertainty. Post-hoc uncertainty estimation methods, such as the Linearized Laplace approximation (LLA), offer a way to quantify uncertainty without retraining the encoder. However, we show tha...

F. J. Sáez-Maldonado, Luis A. Ortega, Andrés R. Masegosa et al. · 0 citations

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