Deep learning based time-to-event analysis with PET, CT and joint PET/CT for head and neck cancer prognosis. - Yiling Wang; Elia Lombardo; Michele Avanzo; Sebastian Zschaek; Julian Weingärtner; Adrien Holzgreve; Nathalie L. Albert; Sebastian Marschner; Giuseppe Fanetti; Giovanni Franchin; Joseph Stancanello; Franziska Walter; et al. (Comput. Methods Programs Biomed., 2022)

MAR-DTN: Metal Artifact Reduction Using Domain Transformation Network for Radiotherapy Planning. - Belén Serrano-Antón; Mubashara Rehman; Niki Martinel; Michele Avanzo; Riccardo Spizzo; Giuseppe Fanetti; Alberto P. Muñuzuri; Christian Micheloni (ICPR (11), 2024)

Rectal Cancer Segmentation: A Methodical Approach for Generalizable Deep Learning in a Multi-Center Setting. - Jovana Panic; Arianna Defeudis; Lorenzo Vassallo; Stefano Cirillo; Marco Gatti; Roberto Sghedoni; Michele Avanzo; Angelo Vanzulli; Luca Sorrentino; Luca Boldrini; Huong Elena Tran; Giuditta Chiloiro; et al. (Int. J. Imaging Syst. Technol., 2025)

ReMAR-DS: Recalibrated Feature Learning for Metal Artifact Reduction and CT Domain Transformation. - Mubashara Rehman; Niki Martinel; Michele Avanzo; Riccardo Spizzo; Christian Micheloni (CoRR, 2025)