MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation JD Tournier, R Smith, D Raffelt, R Tabbara, T Dhollander, M Pietsch, ... Neuroimage 202, 116137, 2019 | 2005 | 2019 |
Apparent fibre density: a novel measure for the analysis of diffusion-weighted magnetic resonance images D Raffelt, JD Tournier, S Rose, GR Ridgway, R Henderson, S Crozier, ... Neuroimage 59 (4), 3976-3994, 2012 | 613 | 2012 |
Investigating white matter fibre density and morphology using fixel-based analysis DA Raffelt, JD Tournier, RE Smith, DN Vaughan, G Jackson, GR Ridgway, ... Neuroimage 144, 58-73, 2017 | 572 | 2017 |
Unsupervised 3-tissue response function estimation from single-shell or multi-shell diffusion MR data without a co-registered T1 image T Dhollander, D Raffelt, A Connelly ISMRM workshop on breaking the barriers of diffusion MRI 5 (5), 2016 | 431 | 2016 |
Connectivity-based fixel enhancement: Whole-brain statistical analysis of diffusion MRI measures in the presence of crossing fibres DA Raffelt, RE Smith, GR Ridgway, JD Tournier, DN Vaughan, S Rose, ... Neuroimage 117, 40-55, 2015 | 360 | 2015 |
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods KJ Gorgolewski, F Alfaro-Almagro, T Auer, P Bellec, M Capotă, ... PLoS computational biology 13 (3), e1005209, 2017 | 288 | 2017 |
Symmetric diffeomorphic registration of fibre orientation distributions D Raffelt, JD Tournier, J Fripp, S Crozier, A Connelly, O Salvado Neuroimage 56 (3), 1171-1180, 2011 | 275 | 2011 |
Fibre-specific white matter reductions in Alzheimer’s disease and mild cognitive impairment R Mito, D Raffelt, T Dhollander, DN Vaughan, JD Tournier, O Salvado, ... Brain 141 (3), 888-902, 2018 | 269 | 2018 |
Improved white matter response function estimation for 3-tissue constrained spherical deconvolution T Dhollander, R Mito, D Raffelt, A Connelly Proc. Intl. Soc. Mag. Reson. Med 555 (10), 2019 | 194 | 2019 |
Fixel-based analysis of diffusion MRI: methods, applications, challenges and opportunities T Dhollander, A Clemente, M Singh, F Boonstra, O Civier, JD Duque, ... Neuroimage 241, 118417, 2021 | 181 | 2021 |
Reorientation of fiber orientation distributions using apodized point spread functions D Raffelt, JD Tournier, S Crozier, A Connelly, O Salvado Magnetic Resonance in Medicine 67 (3), 844-855, 2012 | 125 | 2012 |
Bias field correction and intensity normalisation for quantitative analysis of apparent fibre density D Raffelt, T Dhollander, JD Tournier, R Tabbara, RE Smith, E Pierre, ... Proc. Intl. Soc. Mag. Reson. Med 25, 3541, 2017 | 106 | 2017 |
Fibre-specific white matter changes in multiple sclerosis patients with optic neuritis S Gajamange, D Raffelt, T Dhollander, E Lui, A van der Walt, T Kilpatrick, ... NeuroImage: Clinical 17, 60-68, 2018 | 67 | 2018 |
Quantitative streamlines tractography: methods and inter-subject normalisation RE Smith, D Raffelt, JD Tournier, A Connelly Aperture Neuro, 1-25, 2022 | 55 | 2022 |
Quantification of voxel-wise total fibre density: Investigating the problems associated with track-count mapping F Calamante, RE Smith, JD Tournier, D Raffelt, A Connelly Neuroimage 117, 284-293, 2015 | 54 | 2015 |
HOMOR: higher order model outlier rejection for high b-value MR diffusion data K Pannek, D Raffelt, C Bell, JL Mathias, SE Rose Neuroimage 63 (2), 835-842, 2012 | 53 | 2012 |
Tract‐specific atrophy in focal epilepsy: disease, genetics, or seizures? DN Vaughan, D Raffelt, E Curwood, MH Tsai, JD Tournier, A Connelly, ... Annals of neurology 81 (2), 240-250, 2017 | 48 | 2017 |
Multi-tissue log-domain intensity and inhomogeneity normalisation for quantitative apparent fibre density T Dhollander, R Tabbara, J Rosnarho-Tornstrand, JD Tournier, D Raffelt, ... Proc. ISMRM 29, 2472, 2021 | 47 | 2021 |
Track-weighted functional connectivity (TW-FC): a tool for characterizing the structural–functional connections in the brain F Calamante, RAJ Masterton, JD Tournier, RE Smith, L Willats, D Raffelt, ... Neuroimage 70, 199-210, 2013 | 46 | 2013 |
Quantification of track-weighted imaging (TWI): characterisation of within-subject reproducibility and between-subject variability L Willats, D Raffelt, RE Smith, JD Tournier, A Connelly, F Calamante Neuroimage 87, 18-31, 2014 | 40 | 2014 |