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cs.CV2026
Do Center Biases Propagate? Robustness of Pathology Foundation Models in Whole-Slide Image Classification
Ilán Carretero, Pablo Meseguer, Rocío del Amor +1
Pathology foundation models (PFMs) have transformed computational pathology through powerful representation learning from histopathological images. PFMs provide rich, discriminativ…
cs.CV2026
OPAL: Orthonormal Prototype Alignment Learning for Interpretable Image Classification
Ilán Carretero, Gustavo Jesús Angulo, Rocío del Amor +1
Prototypical part-based models provide explainable predictions by comparing input regions to learned prototypes. However, current approaches are burdened by complex, multi-stage tr…
cs.CV2024
Enhancing Whole Slide Image Classification through Supervised Contrastive Domain Adaptation
Ilán Carretero, Pablo Meseguer, Rocío del Amor +1
Domain shift in the field of histopathological imaging is a common phenomenon due to the intra- and inter-hospital variability of staining and digitization protocols. The implement…