Multi-view fusion of diffusion MRI microstructural models: a preterm birth study
Our results suggest that a data-driven intramodal imaging approach is crucial for gathering deep and complementary information. The main contribution of this methodological outline is to thoroughly investigate prematurity-related white matter changes through different inquiry focuses, with a view to addressing this issue, both aiming toward mechanistic insight and optimizing predictive accuracy.
Authors
- Marco Fato (ORCID: https://orcid.org/0000-0001-8085-2438)
- Domenico Tortora (ORCID: https://orcid.org/0000-0002-5621-4046)
- Rosella Trò (ORCID: https://orcid.org/0000-0002-4915-5295)
- Shreyas Fadnavis (ORCID: https://orcid.org/0000-0001-8797-8404)
- Gabriele Arnulfo (ORCID: https://orcid.org/0000-0002-1140-0320)
- Mariasavina Severino (ORCID: https://orcid.org/0000-0003-4730-5322)
- Andrea Rossi (ORCID: https://orcid.org/0000-0001-8575-700X)
- Monica Roascio (ORCID: https://orcid.org/0000-0002-4522-1574)
- Eleftherios Garyfallidis (ORCID: https://orcid.org/0000-0002-3991-2774)
Institutions
- University of Helsinki (FI)
- Harvard University (US)
- Istituto Giannina Gaslini (IT)
- Massachusetts General Hospital (US)
- Indiana University Bloomington (US)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- University of Genoa (IT)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2024-12-20
- DOI
- https://doi.org/10.3389/fnins.2024.1480735
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Università degli Studi di Genova