DOTTORATO DI RICERCA IN INGEGNERIA DELL'INFORMAZIONE

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De Santi, L. A., Schlötterer, J., Scheschenja, M., et al. (2025). PIPNet3D: Interpretable detection of Alzheimer in MRI scans." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2024

De Santi, L. A., Schlötterer, J., Nauta, M., et al. (2024). "Patch-based intuitive multimodal prototypes network (PIMPNet) for Alzheimer's disease classification." In Joint Proceedings of the xAI 2024 Late-breaking Work, Demos and Doctoral Consortium

De Santi, L. A., Bargagna, F., Santarelli, M. F., et al. (2024). "Explainable CNN-based cardiac amyloidosis classification from PET images through manifold learning." In A. Badnjević \& L. Gurbeta Pokvić (Eds.), MEDICON’23 and CMBEBIH’23

Positano, V., Meloni, A., De Santi, L.A., et al. (2024). "Convolutional neural networks for automatic MR classification of myocardial iron overload in thalassemia major patients. European Radiology

De Santi, L. A., Piparo, F.I., Bargagna, F., Santarelli, M.F., Celi, S., Positano, V. (2024). "Part-prototypes Models in Medical Imaging: Applications and Current Challenges." BioMedInformatics

L. A. De Santi, F. Bargagna, M. F. Santarelli, V. Positano: “Evaluating explanations of an Alzheimer's Disease 18F-FDG Brain PET black-box classifier”, xAI 2023. Communications in Computer and Information Science, vol 1901. Springer (2023)

LA De Santi, A Meloni, MF Santarelli, L Pistoia, A Spasiano, T Casini, MC Putti, L Cuccia, F Cademartiri, V Positano: "Left Ventricle Detection from Cardiac Magnetic Resonance Relaxometry Images Using Visual Transformer". Sensors (Basel). Mar. 2023

L. A. De Santi, E. Pasini, M. F. Santarelli, et al. "An Explainable Convolutional Neural Network for the Early Diagnosis of Alzheimer’s Disease from 18F-FDG PET." J Digit Imaging (2022).

L. A. De Santi, E. Pasini, M. F. Santarelli, et al. "An Explainable Convolutional Neural Network for the Early Diagnosis of Alzheimer’s Disease from 18F-FDG PET." J Digit Imaging (2022).

L. A. De Santi, E. Pasini, M. F. Santarelli, et al. "An Explainable Convolutional Neural Network for the Early Diagnosis of Alzheimer’s Disease from 18F-FDG PET." J Digit Imaging (2022).

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