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 (EMBC, 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 (EMBC, 2020)

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)

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; et al. (Comput. Biol. Medicine, 2022)

Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study. - Francesco Marzola; Kristen M. Meiburger; Filippo Molinari; Massimo Salvi (DSP, 2023)

Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm. - Francesco Marzola; Kristen M. Meiburger; Filippo Molinari; Massimo Salvi (Computer-Aided Diagnosis, 2023)

All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems. - Silvia Seoni; Alen Shahini; Kristen M. Meiburger; Francesco Marzola; Giulia Rotunno; U. Rajendra Acharya; Filippo Molinari; Massimo Salvi (Comput. Methods Programs Biomed., 2024)

Parametric kernels for artifact mitigation in patch-based image aggregation using generative models. - Nicola Michielli; Francesco Marzola; Francesco Branciforti; Kristen M. Meiburger; Alessandro Gambella; Massimo Salvi (Comput. Vis. Image Underst., 2025)

A reproducible framework for synthetic data generation and instance segmentation in robotic suturing. - Pietro Leoncini; Francesco Marzola; Matteo Pescio; Maura Casadio; Alberto Arezzo; Giulio Dagnino (Int. J. Comput. Assist. Radiol. Surg., 2025)