Francesco Marzola

According to our database, Francesco Marzola authored at least 6 papers between 2020 and 2023.

Collaborative distances:

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

2023

Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm.

Francesco Marzola, Kristen M. Meiburger, Filippo Molinari, Massimo Salvi

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023

Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study.

Francesco Marzola, Kristen M. Meiburger, Filippo Molinari, Massimo Salvi

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

2022

Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media thickness measurement on common carotid artery longitudinal B-mode ultrasound scans.

Kristen M. Meiburger, Francesco Marzola, Guillaume Zahnd, Francesco Faita, Christos P. Loizou, Nolann Lainé, Catarina Carvalho, David A. Steinman, Lorenzo Gibello, Rosa Maria Bruno, Ricarda Clarenbach, Martina Francesconi, Andrew Nicolaides, Hervé Liebgott, Aurélio Campilho, Reza Ghotbi, Efthyvoulos Kyriacou, Nassir Navab, Maura Griffin, Andrie G. Panayiotou, Rachele Gherardini, Gianfranco Varetto, Elisabetta Bianchini, Constantinos S. Pattichis, Lorenzo Ghiadoni, José Rouco, Maciej Orkisz, Filippo Molinari

Comput. Biol. Medicine, 2022

2021

Deep learning segmentation of transverse musculoskeletal ultrasound images for neuromuscular disease assessment.

Francesco Marzola, Nens van Alfen, Jonne Doorduin, Kristen M. Meiburger

Comput. Biol. Medicine, 2021

2020

Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images.

Bruno De Santi, Massimo Salvi, Valentina Giannini, Kristen M. Meiburger, Francesco Marzola, Filippo Russo, Martino Bosco, Filippo Molinari

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks.

Francesco Marzola, Nens van Alfen, Massimo Salvi, Bruno De Santi, Jonne Doorduin, Kristen M. Meiburger

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020