Michele Avanzo

According to our database, Michele Avanzo authored at least 5 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

H3D-MarNet: Wavelet-Guided Dual-Path Learning for Metal Artifact Suppression and CT Modality Transformation for Radiotherapy Workflows.

Mubashara Rehman, Niki Martinel, Michele Avanzo, Riccardo Spizzo, Christian Micheloni

CoRR, May, 2026

2025

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, Giuseppe Roberto D'Agostino, Enrico Menghi, Roberta Fusco, Antonella Petrillo, Vincenza Granata, Martina Mori, Claudio Fiorino, Barbara Alicja Jereczek-fossa, Marianna Alessandra Gerardi, Serena Dell'Aversana, Antonio Esposito, Daniele Regge, Samanta Rosati, Gabriella Balestra, Valentina Giannini

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

Proceedings of the Image Analysis and Processing - ICIAP 2025, 2025

2024

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

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2022

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, Stefanie Corradini, Maximilian Niyazi, Jinyi Lang, Claus Belka, Marco Riboldi, Christopher Kurz, Guillaume Landry

Comput. Methods Programs Biomed., 2022