Alle publicaties voor Louis Fabrice Tshimanga
2026
| , , , , en , Biologically constrained Transformers improve stability and interpretability in single-cell transcriptomics, in: Proceedings of Bioinformatics Italian Society 2026, 2026 |
| , , en , 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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2025
| , , , , , en , Behavioral Clusters and Lesion Distributions in Ischemic Stroke, Based on NIHSS Similarity Network (2025), in: Journal of Healthcare Informatics Research(1--36) |
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| , , , en , 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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| , , , , en , 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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| , , , , , , , , en , TransformEEG: Towards Improving Model Generalizability in Deep Learning-based EEG Parkinson's Disease Detection (2025), in: arXiv preprint arXiv:2507.07622 |
| , , , , , , , , en , TransformEEG: Towards improving model generalizability in deep learning-based EEG Parkinson’s disease detection (2025), in: Elsevier |
[DOI] |
2023
| , , en , An Overview of Open Source Deep Learning-Based Libraries for Neuroscience (2023), in: Applied Sciences, 13:9(5472) |
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| , , , , , en , Behavioral Clusters in Ischemic Stroke based on NIHSS Similarity (2023), in: medRxiv(2023--11) |
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