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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

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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

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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

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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

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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

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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)

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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

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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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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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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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