Publikationen von Federico Del Pup sortiert nach Aktualität
| , , , , , , , , und , TransformEEG: Towards improving model generalizability in deep learning-based EEG Parkinson’s disease detection (2025), in: Elsevier |
[DOI] |
| , , und , An Overview of Open Source Deep Learning-Based Libraries for Neuroscience (2023), in: Applied Sciences, 13:9(5472) |
| und , Applications of Self-Supervised Learning to Biomedical Signals: a Survey (2023), in: IEEE Access |
| , , und , BIDSAlign: a library for automatic merging and preprocessing of multiple EEG repositories (2024), in: Journal of Neural Engineering, 21:4(046050) |
| und , Toward improving reproducibility in neuroimaging deep learning studies (2024), in: Frontiers in Neuroscience, 18(1509358) |
| , , , , , , , , , und , A global effort to benchmark predictive models and reveal mechanistic diversity in long-term stroke outcomes (2025), in: bioRxiv(2024--10) |
| , , , und , The more, the better? Evaluating the role of EEG preprocessing for deep learning applications. (2025), in: IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| , , , , , , , , und , TransformEEG: Towards Improving Model Generalizability in Deep Learning-based EEG Parkinson's Disease Detection (2025), in: arXiv preprint arXiv:2507.07622 |
| , , , , und , The role of data partitioning on the performance of EEG-based deep learning models in supervised cross-subject analysis: a preliminary study (2025), in: Computers in Biology and Medicine, 196(110608) |