All Outputs (2)

Denoising Diffusion MRI: Considerations and implications for analysis (2023)
Journal Article
Manzano-Patron, J.-P., Moeller, S., Andersson, J. L. R., Ugurbil, K., Yacoub, E., & Sotiropoulos, S. N. (2024). Denoising Diffusion MRI: Considerations and implications for analysis. Imaging Neuroscience, 2, 1-29. https://doi.org/10.1101/2023.07.24.550348

Development of diffusion MRI (dMRI) denoising approaches has experienced considerable growth over the last years. As noise can inherently reduce accuracy and precision in measurements, its effects have been well characterised both in terms of uncerta... Read More about Denoising Diffusion MRI: Considerations and implications for analysis.

A resource for development and comparison of multimodal brain 3T MRI harmonisation approaches (2023)
Journal Article
Warrington, S., Ntata, A., Mougin, O., Campbell, J., Torchi, A., Craig, M., …Sotiropoulos, S. N. (2023). A resource for development and comparison of multimodal brain 3T MRI harmonisation approaches. Imaging Neuroscience, 1(2023), 1-27. https://doi.org/10.1162/imag_a_00042

Despite the huge potential of magnetic resonance imaging (MRI) in mapping and exploring the brain, MRI measures can often be limited in their consistency, reproducibility and accuracy which subsequently restricts their quantifiability. Nuisance nonbi... Read More about A resource for development and comparison of multimodal brain 3T MRI harmonisation approaches.