Elenco Pubblicazioni - Publications (1524)
E. Sebastiani, P. Angeletti, G. Bacci, R. de Gaudenzi, M. Luise, and L. Sanguinetti, “Mega Antenna Formation of Satellite Arrays,” in Proc. Intl. Commun. Satellite Systems Conf. (ICSSC), Bradford, UK, Oct. 2023.
Written by ELENA SEBASTIANI
Recently, distributed antenna technology based on formation of arrays (FoA) has been proposed in the framework of non-terrestrial network (NTN) integration to provide 5G-like mobile satellite services. To obtain the desired benefits in terms of…
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)
Written by GIANLUCA CARLONI
Innovative technologies powered by Artificial Intelligence have the big potential to support new models of care delivery, disease prevention and quality of life promotion. The ultimate goal is a paradigm shift towards more personalized, accessible,…
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).
Written by GIANLUCA CARLONI
In this paper, we present a novel method for the automatic classification of medical images that learns and leverages weak causal signals in the image. Our framework consists of a convolutional neural network backbone and…
Carloni, G., Berti, A., & Colantonio, S. (2024). The role of causality in explainable artificial intelligence. arXiv preprint arXiv:2309.09901.
Written by GIANLUCA CARLONI
Causality and eXplainable Artificial Intelligence (XAI) have developed as separate fields in computer science, even though the underlying concepts of causation and explanation share common ancient roots. This is further enforced by the lack of…
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.
Written by GIANLUCA CARLONI
Cine Magnetic Resonance Imaging (MRI) allows for understanding of the heart's function and condition in a non-invasive manner. Undersampling of the k-space is employed to reduce the scan duration, thus increasing patient comfort and reducing the…
