most citedA robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal FDG PET imaging

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eess.IV2025★ 1 cited

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…

eess.IV2025

Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction

Solveig Thrun, Stine Hansen, Zijun Sun +7

Regular mammography screening is essential for early breast cancer detection. Deep learning-based risk prediction methods have sparked interest to adjust screening intervals for hi…