Schlagworte:
Publikationen von Federico Del Pup sortiert nach erstem Autor
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| und , Toward improving reproducibility in neuroimaging deep learning studies (2024), in: Frontiers in Neuroscience, 18(1509358) |
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| und , Applications of Self-Supervised Learning to Biomedical Signals: a Survey (2023), in: IEEE Access |
| , , , , , , , , und , TransformEEG: Towards Improving Model Generalizability in Deep Learning-based EEG Parkinson's Disease Detection (2025), in: arXiv preprint arXiv:2507.07622 |
| , , , , und , Self-Supervised Representation Learning for EEG-Based Detection of Neurodegenerative Diseases (2025), in: APPLIED SCIENCES, 15:24(13275--13275) |
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| , , , 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 |
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| , , , , 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) |
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| , , , , , , , , und , TransformEEG: Towards improving model generalizability in deep learning-based EEG Parkinson’s disease detection (2025), in: Elsevier |
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| , , und , An Overview of Open Source Deep Learning-Based Libraries for Neuroscience (2023), in: Applied Sciences, 13:9(5472) |
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| , , und , TokenUNet: A new case for transformers integration in efficient and interpretable 3D UNets for brain imaging segmentation (2026), in: PloS one, 21:8(e0354511) |
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| , , , und , xEEGNet: towards explainable AI in EEG dementia classification (2025), in: JOURNAL OF NEURAL ENGINEERING, 22:4 |
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| , , und , BIDSAlign: a library for automatic merging and preprocessing of multiple EEG repositories (2024), in: Journal of Neural Engineering, 21:4(046050) |