| An explainable convolutional neural network for the early diagnosis of Alzheimer’s disease from 18F-FDG PET LA De Santi, E Pasini, MF Santarelli, D Genovesi, V Positano Journal of Digital Imaging 36 (1), 189-203, 2023 | 22 | 2023 |
| Bayesian Convolutional Neural Networks in Medical Imaging Classification: A Promising Solution for Deep Learning Limits in Data Scarcity Scenarios F Bargagna, LA De Santi, N Martini, D Genovesi, B Favilli, G Vergaro, ... Journal of Digital Imaging 36 (6), 2567-2577, 2023 | 6 | 2023 |
| Convolution neural networks for the automatic segmentation of 18F-FDG PET brain as an aid to Alzheimer’s disease diagnosis E Pasini, D Genovesi, C Rossi, LA De Santi, V Positano, A Giorgetti, ... Electronics 11 (14), 2260, 2022 | 4 | 2022 |
| Pipnet3d: Interpretable detection of alzheimer in mri scans LA De Santi, J Schlötterer, M Scheschenja, J Wessendorf, M Nauta, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 3 | 2024 |
| Left ventricle detection from cardiac magnetic resonance relaxometry images using visual transformer LA De Santi, A Meloni, MF Santarelli, L Pistoia, A Spasiano, T Casini, ... Sensors 23 (6), 3321, 2023 | 3 | 2023 |
| Part-Prototype Models in Medical Imaging: Applications and Current Challenges LA De Santi, FI Piparo, F Bargagna, MF Santarelli, S Celi, V Positano BioMedInformatics 4 (4), 2149-2172, 2024 | 1 | 2024 |
| Patch-based Intuitive Multimodal Prototypes Network (PIMPNet) for Alzheimer's Disease classification LA De Santi, J Schlötterer, M Nauta, V Positano, C Seifert arXiv preprint arXiv:2407.14277, 2024 | 1 | 2024 |
| Bayesian XAI Methods Towards a Robustness-Centric Approach to Deep Learning: An ABIDE I Study F Bargagna, LA De Santi, MF Santarelli, V Positano, N Vanello 2024 IEEE International Symposium on Medical Measurements and Applications …, 2024 | 1 | 2024 |
| Convolutional neural networks for automatic MR classification of myocardial iron overload in thalassemia major patients V Positano, A Meloni, LA De Santi, L Pistoia, Z Borsellino, A Cossu, ... European Radiology, 1-11, 2024 | | 2024 |
| Automated Neural Architecture Search for Cardiac Amyloidosis Classification from [18F]-Florbetaben PET Images F Bargagna, D Zigrino, LA De Santi, D Genovesi, M Scipioni, B Favilli, ... Journal of Imaging Informatics in Medicine, 1-15, 2024 | | 2024 |
| Explainable CNN-Based Cardiac Amyloidosis Classification from PET Images Through Manifold Learning LA De Santi, F Bargagna, MF Santarelli, G Vergaro, D Genovesi, M Emdin, ... Mediterranean Conference on Medical and Biological Engineering and Computing …, 2023 | | 2023 |
| Evaluating Explanations of an Alzheimer’s Disease 18F-FDG Brain PET Black-Box Classifier LA De Santi, F Bargagna, MF Santarelli, V Positano World Conference on Explainable Artificial Intelligence, 558-581, 2023 | | 2023 |
| Regional Characterization of the Gottingen Minipig Brain by [18 F] FDG Dynamic Pet Modeling SM Filomena, P Elena, B Carlotta, DSL Anita, F Giulia, T Domiziana, ... Journal of Medical and Biological Engineering 42 (5), 692-702, 2022 | | 2022 |
Vincenzo PositanoSenior Researcher, Fondazione G Monasterio, Pisa, ItalyΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ftgm.it
