Author

Valery Naranjo

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#artificial intelligence Preprint Sep 2026

Do Center Biases Propagate? Robustness of Pathology Foundation Models in Whole-Slide Image Classification

Pathology foundation models (PFMs) have transformed computational pathology through powerful representation learning from histopathological images. PFMs provide rich, discriminative representations for whole slide image (WSI) analysis, enabling tasks such as slide-level classification under multiple instance learning (...

I. Carretero, Pablo Meseguer Esbri, R. del Amor et al. · 0 citations

Preprint Aug 2026

OPAL: Orthonormal Prototype Alignment Learning for Interpretable Image Classification

This work introduces Orthonormal Prototype Alignment Learning (OPAL), a single-stage, end-to-end framework that simplifies interpretable classification by framing classification as a direct representation alignment task, and eliminates the need for auxiliary losses.

I. Carretero, G. Angulo, R. del Amor et al. · 0 citations