Trefwoorden:
Publicaties van Federico Spagnolo gesorteerd op titel
A
| , , , , , , , , , , , , en , A multi-modal deep learning network for the classification of paramagnetic rim and remyelinated lesions in multiple sclerosis (2026), in: Multiple Sclerosis Journal, 32:6(13524585261421491) |
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D
| , , , , , , , , , , en , Deep-PRL: a deep learning network for the identification of paramagnetic rim lesions in multiple sclerosis, in: ISMRM 2025, 2025 |
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| , , , , , , , en , Down-sampling in diffusion MRI: a bundle-specific DTI and NODDI study (2024), in: Frontiers in Neuroimaging, 3 |
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E
| , , , , , , , , , , , en , Explainability in automatic Paramagnetic Rim Lesion classification, in: 40th Congress Of The European Committee For Treatment And Research In Multiple Sclerosis (ECTRIMS), 2024 |
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| , , , , , , en , Exploiting XAI maps to improve MS lesion segmentation and detection in MRI, in: Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI, 2025 |
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F
| , , , , , , , en , FLAIR vs MPRAGE contribution to white matter lesion automatic segmentation in MS using localized saliency maps, in: Bern Interpretable AI Symposium (BIAS), 2023 |
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| , , , , , , , , , , , en , Foundation Model–Enhanced Classification of Paramagnetic Rim Lesions in Multiple Sclerosis, MSToronto2026 – 10th Joint ACTRIMS-ECTRIMS Meeting, 2026 |
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H
, , , , , , en , How far MS lesion detection and segmentation are integrated into the clinical workflow? A systematic review (2023), in: NeuroImage: Clinical, 39(103491)
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[DOI] [URL] |
I
| , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , en , Identification of paramagnetic rim lesions using conventional MRI - a deep learning approach, in: 39th Congress Of The European Committee For Treatment And Research In Multiple Sclerosis (ECTRIMS), 2023 |
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| , , , , , , , en , Instance-level explanations in multiple sclerosis lesion segmentation: a novel localized saliency map, in: ISMRM 2024, 2024 |
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| , , , , , , , en , Instance-level quantitative saliency in multiple sclerosis lesion segmentation (2026), in: Nature Scientific Reports, 16(6917) |
[DOI] [URL] |
M
| , , , , , , , , , , en , MSXplain Web – A Platform for AI-based Multiple Sclerosis Lesion Segmentation, Localization, and Reporting in MRI, 2026 |
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