| 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 |
| 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 |
| 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 |
| 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 |