| Applications of Self-Supervised Learning to Biomedical Signals: A Survey F Del Pup, M Atzori IEEE Access 11, 144180-144203, 2023 | 19 | 2023 |
| An overview of open source deep learning-based libraries for neuroscience LF Tshimanga, F Del Pup, M Corbetta, M Atzori Applied Sciences 13 (9), 5472, 2023 | 5 | 2023 |
| SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography F Del Pup, A Zanola, LF Tshimanga, PE Mazzon, M Atzori arXiv preprint arXiv:2401.05405, 2023 | 3 | 2023 |
| Toward improving reproducibility in neuroimaging deep learning studies F Del Pup, M Atzori Frontiers in Neuroscience 18, 1509358, 2024 | | 2024 |
| The more, the better? Evaluating the role of EEG preprocessing for deep learning applications F Del Pup, A Zanola, LF Tshimanga, A Bertoldo, M Atzori arXiv preprint arXiv:2411.18392, 2024 | | 2024 |
| A global effort to benchmark predictive models and reveal mechanistic diversity in long-term stroke outcomes A Matsulevits, P Alvez, M Atzori, A Beyh, M Corbetta, F Del Pup, L Dulyan, ... bioRxiv, 2024.10. 17.618691, 2024 | | 2024 |
| BIDSAlign: a library for automatic merging and preprocessing of multiple EEG repositories A Zanola, F Del Pup, C Porcaro, M Atzori Journal of Neural Engineering 21 (4), 046050, 2024 | | 2024 |
| Metodologie per la predizione delle ipoglicemie post-bariatriche basate su feature estratte da dati di monitoraggio in continua del glucosio. F DEL PUP Università degli Studi di Padova, 2022 | | 2022 |
