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2020 – today
- 2024
[j3]Silvia Seoni, Alen Shahini
, Kristen M. Meiburger, Francesco Marzola, Giulia Rotunno, U. Rajendra Acharya, Filippo Molinari, Massimo Salvi:
All you need is data preparation: A systematic review of image harmonization techniques in Multi-center/device studies for medical support systems. Comput. Methods Programs Biomed. 250: 108200 (2024)- 2023
- [c4]Francesco Marzola, Kristen M. Meiburger, Filippo Molinari, Massimo Salvi:
Exploring the Impact of Learning Paradigms on Network Generalization: A Multi-Center IMT Study. DSP 2023: 1-5 - [c3]Francesco Marzola, Kristen M. Meiburger, Filippo Molinari, Massimo Salvi:
Can multiple segmentation methods enhance deep learning networks generalization? A novel hybrid learning paradigm. Medical Imaging: Computer-Aided Diagnosis 2023 - 2022
- [j2]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:
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. Comput. Biol. Medicine 144: 105333 (2022) - 2021
- [j1]Francesco Marzola, Nens van Alfen, Jonne Doorduin, Kristen M. Meiburger:
Deep learning segmentation of transverse musculoskeletal ultrasound images for neuromuscular disease assessment. Comput. Biol. Medicine 135: 104623 (2021) - 2020
- [c2]Bruno De Santi, Massimo Salvi, Valentina Giannini, Kristen M. Meiburger, Francesco Marzola, Filippo Russo, Martino Bosco, Filippo Molinari:
Comparison of Histogram-based Textural Features between Cancerous and Normal Prostatic Tissue in Multiparametric Magnetic Resonance Images. EMBC 2020: 1671-1674 - [c1]Francesco Marzola, Nens van Alfen, Massimo Salvi, Bruno De Santi, Jonne Doorduin, Kristen M. Meiburger:
Automatic segmentation of ultrasound images of gastrocnemius medialis with different echogenicity levels using convolutional neural networks. EMBC 2020: 2113-2116
Coauthor Index
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