On the stability of canonical correlation analysis and partial least squares with application to brain-behavior associations.
Helmer M. et al, (2024), Commun Biol, 7
Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data.
Tewarie PKB. et al, (2023), Neuroimage, 276
Automated detection of cerebral microbleeds on MR images using knowledge distillation framework.
Sundaresan V. et al, (2023), Front Neuroinform, 17
Mapping brain endophenotypes associated with idiopathic pulmonary fibrosis genetic risk.
Mohammadi-Nejad A-R. et al, (2022), EBioMedicine, 86
Concurrent mapping of brain ontogeny and phylogeny within a common space: Standardized tractography and applications.
Warrington S. et al, (2022), Sci Adv, 8
Predicting time-resolved electrophysiological brain networks from structural eigenmodes.
Tewarie P. et al, (2022), Hum Brain Mapp
The association between inadequate sleep and accelerated brain ageing.
Ramduny J. et al, (2022), Neurobiol Aging, 114, 1 - 14
The Developing Human Connectome Project Neonatal Data Release.
Edwards AD. et al, (2022), Front Neurosci, 16
Quantum computing at the frontiers of biological sciences.
Emani PS. et al, (2021), Nat Methods, 18, 701 - 709
Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI.
Tanno R. et al, (2021), Neuroimage, 225
Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning.
Sundaresan V. et al, (2021), Front Neuroinform, 15
Modelling white matter in gyral blades as a continuous vector field.
Cottaar M. et al, (2020), Neuroimage, 227
Non-Negative Data-Driven Mapping of Structural Connections with Application to the Neonatal Brain.
Thompson E. et al, (2020), Neuroimage
XTRACT - Standardised protocols for automated tractography in the human and macaque brain.
Warrington S. et al, (2020), Neuroimage, 217
Improved fibre dispersion estimation using b-tensor encoding.
Cottaar M. et al, (2020), Neuroimage, 215
Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessing.
Autio JA. et al, (2020), Neuroimage, 215
A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging.
Tournier J-D. et al, (2020), NMR Biomed