Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI. - Stine Hansen; Samuel Kuttner; Michael Kampffmeyer; Tom-Vegard Markussen; Rune Sundset; Silje Kjærnes Øen; Live Eikenes; Robert Jenssen (Expert Syst. Appl., 2021)

Postoperative glioblastoma segmentation: Development of a fully automated pipeline using deep convolutional neural networks and comparison with currently available models. - Santiago Cepeda; Roberto Romero; Daniel García-Pérez; Guillermo Blasco; Luigi Tommaso Luppino; Samuel Kuttner; Ignacio Arrese; Ole Solheim; Live Eikenes; Anna Karlberg; Angel Perez-Nunez; Trinidad Escudero; et al. (CoRR, 2024)

Filling of incomplete sinograms from sparse PET detector configurations using a residual U-Net. - Klara Leffler; Luigi Tommaso Luppino; Samuel Kuttner; Karin Söderkvist; Jan Axelsson (CoRR, 2025)

A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [18F]FDG PET imaging. - Christian Salomonsen; Luigi Tommaso Luppino; Fredrik Aspheim; Kristoffer Wickstrøm; Elisabeth Wetzer; Michael Kampffmeyer; Rodrigo Berzaghi; Rune Sundset; Robert Jenssen; Samuel Kuttner (CoRR, 2025)