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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. (2023). The role of causality in explainable artificial intelligence. arXiv preprint arXiv:2309.09901.

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Xue, Y., Du, Y., Carloni, G., Pachetti, E., Jordan, C., & Tsaftaris, S. A. (2023). Cine cardiac MRI reconstruction using a convolutional recurrent network with refinement. arXiv preprint arXiv:2309.13385.

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Carloni, G., & Colantonio, S. (2023). Exploiting Causality Signals in Medical Images: A Pilot Study with Empirical Results. arXiv preprint arXiv:2309.10399.

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Berti A. & Carloni G., et al. "Data Models for an Imaging Bio-bank for Colorectal, Prostate and Gastric Cancer: the NAVIGATOR Project" in IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2022

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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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