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Displaying items by tag: ProtoPNet
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Berti A., et al. "An explainable-by-design end-to-end AI framework based on prototypical part learning for lesion detection and classification in DBT images"
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Elenco Pubblicazioni - Publications
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Carloni G. & Berti A., et al. "On the Applicability of Prototypical Part Learning in Medical Images: Breast Masses Classification Using ProtoPNet" in ICPR 2022 International Conference on Pattern Recognition - AIHA 2nd International Workshop, 2022
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Elenco Pubblicazioni - Publications
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Carloni, G., Berti, A., Iacconi, C., Pascali, M. A., & Colantonio, S. (2022, August). On the Applicability of Prototypical Part Learning in Medical Images: Breast Masses Classification Using ProtoPNet. In Int Conf on Pattern Recognition
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Quick Start for Students - vers. 2025-2026
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PhD @ Nanyang Technical University (NTU) & University of Pisa (UniPi)
Visiting students and scholars mobility agreement with the Academy of Advanced Interdisciplinary Research, Xidian, Xi'an, P.R. China
Agreement for Double Degree Program with Beihang University, Beijing, P.R. China
A Michele Pierallini il premio per la migliore tesi di dottorato dell'Università di Pisa
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Prof. Marco Santello, Arizona State University – U.S.A., "Neural bases of Motor Control", 9-13 March 2026
Prof. Volker Bertram, DNV – Det Norske Veritas, Hamburg, Germany, "Advanced Digital Technology in Maritime Applications", 23-27 March 2026
Prof. Michele Migliore, Institute of Biophysics, National Research Council, Italy, State University of New York (SUNY), Downstate Health Science University, USA, "Computational Neuroscience", 16-20 March 2026
Chiara Caselli, University of Pisa-CLI, "English for Research Publication and Presentation Purposes (ERP)", January-April 2026
Prof. Vladimir Carli, Karolinska Institutet, Stockholm, Sweden, "The role of emerging ICT technologies for mental health and well-being", 9-13 February 2026
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