5 papers
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…
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…
Multi-Scale Feature Attention Network for Polymer Classification Using Terahertz Spectroscopy
Roshni Mahtani, Ilán Carretero, Daniel Moreno-Paris +4
Reliable polymer identification is essential for ensuring the quality and safety of recycled plastics, yet conventional sorting and spectroscopic techniques often struggle to deliv…
Masked Autoencoder Joint Learning for Robust Spitzoid Tumor Classification
Ilán Carretero, Roshni Mahtani, Silvia Perez-Deben +4
Accurate diagnosis of spitzoid tumors (ST) is critical to ensure a favorable prognosis and to avoid both under- and over-treatment. Epigenetic data, particularly DNA methylation, p…
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…