2 papers
cs.LG2026
Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning
Gabriel Y. Arteaga, Marius Aasan, Rwiddhi Chakraborty +4
Prototypical self-supervised learning methods consistently suffer from partial prototype collapse, where multiple prototypes converge to nearly identical representations. This unde…
eess.IV2025
A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal FDG PET imaging
Christian Salomonsen, Luigi T Luppino, Fredrik Aspheim +7
Dynamic positron emission tomography (PET) and kinetic modeling are pivotal in advancing tracer development research in small animal studies. Accurate kinetic modeling requires pre…