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From Covid-19 detection to cancer grading: how AI is boosting clinical diagnostics and may improve treatment
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Data and System Traceability for Transparent AI in Medical Imaging
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CROCODILE: Causality aids RObustness via COntrastive DIsentangled LEarning
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Connectivity-Inspired Network for Context-Aware Recognition
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Berti, A., Buongiorno, R., Carloni, G., ... & Colantonio, S. (2023, May). Exploring the potential and challenges of AI in clinical diagnostics and remote assistance of individuals. In Conv Naz CINI sull'Intelligenza Artificiale (ITAL-IA)
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Carloni, G., Pachetti, E., & Colantonio, S. (2023). Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 2616-2624).
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Carloni, G., Berti, A., & Colantonio, S. (2024). The role of causality in explainable artificial intelligence. arXiv preprint arXiv:2309.09901.
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CORSO ANNULLATO - Prof. Andrea Alù, City University of New York, NY, US, "Electromagnetic Metamaterials and Metasurfaces: Modeling and Applications"
MODIFICA ORARIO - Assistant Prof. Nicolas Barbot, Univ. Grenoble Alpes, Grenoble INP, LCIS, F-26000 Valence, France, "Time-Variant and Non-Linear Transponders: from Theory to Practice", 18-21 June 2024
M. Garabini, F. Angelini, M. Pierallini, Centro “E. Piaggio”, Dip. Ing. Informazione Univ. Pisa, "Iterative Learning Control Theory & Applications - An Alternative Approach to Exploit Data while Providing Formal Certificates", 29 July - 2 August 2024
MODIFICA DATE CORSO Dr. Cosimo Della Santina, Cognitive Robotics, Mechanical Engineering, TU Deflt, The Netherlands Robotics and Mechatronics Institute, German Aerospace Center,Germany, "CRASH COURSE ON MODELING AND CONTROL OF CONTINUUM SOFT ROBOTS"
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