Outputs (2)

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.

Unified Surface and Volumetric Inference on Functional Imaging Data (2023)
Presentation / Conference Contribution
Kirk, T. F., Craig, M. S., & Chappell, M. A. (2023). Unified Surface and Volumetric Inference on Functional Imaging Data. In J. Duncan, H. Greenspan, A. Madabhushi, P. Mousavi, S. Salcudean, T. Syeda-Mahmood, & R. Taylor (Eds.), Medical Image Computing and Computer Assisted Intervention – MICCAI 2023: 26th International Conference, Vancouver, BC, Canada, October 8–12, 2023, Proceedings, Part VIII (399-408). https://doi.org/10.1007/978-3-031-43993-3_39

Surface-based analysis methods for functional imaging data have been shown to offer substantial benefits for the study of the human cortex, namely in the localisation of functional areas and the establishment of inter-subject correspondence. A new ap... Read More about Unified Surface and Volumetric Inference on Functional Imaging Data.