| 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 | 1912 | 2019 |
| Anatomically-constrained tractography: improved diffusion MRI streamlines tractography through effective use of anatomical information RE Smith, JD Tournier, F Calamante, A Connelly Neuroimage 62 (3), 1924-1938, 2012 | 1076 | 2012 |
| SIFT: Spherical-deconvolution informed filtering of tractograms RE Smith, JD Tournier, F Calamante, A Connelly Neuroimage 67, 298-312, 2013 | 699 | 2013 |
| SIFT2: Enabling dense quantitative assessment of brain white matter connectivity using streamlines tractography RE Smith, JD Tournier, F Calamante, A Connelly Neuroimage 119, 338-351, 2015 | 596 | 2015 |
| 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 | 557 | 2017 |
| 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 | 351 | 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 | 279 | 2017 |
| The effects of SIFT on the reproducibility and biological accuracy of the structural connectome RE Smith, JD Tournier, F Calamante, A Connelly Neuroimage 104, 253-265, 2015 | 251 | 2015 |
| The contribution of geometry to the human connectome JA Roberts, A Perry, AR Lord, G Roberts, PB Mitchell, RE Smith, ... Neuroimage 124, 379-393, 2016 | 183 | 2016 |
| Quantitative mapping of the brain’s structural connectivity using diffusion MRI tractography: A review F Zhang, A Daducci, Y He, S Schiavi, C Seguin, RE Smith, CH Yeh, ... Neuroimage 249, 118870, 2022 | 139 | 2022 |
| 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 | 102 | 2017 |
| A generalised framework for super-resolution track-weighted imaging F Calamante, JD Tournier, RE Smith, A Connelly Neuroimage 59 (3), 2494-2503, 2012 | 93 | 2012 |
| Development of white matter fibre density and morphology over childhood: A longitudinal fixel-based analysis S Genc, RE Smith, CB Malpas, V Anderson, JM Nicholson, D Efron, ... Neuroimage 183, 666-676, 2018 | 79 | 2018 |
| Is removal of weak connections necessary for graph-theoretical analysis of dense weighted structural connectomes from diffusion MRI? O Civier, RE Smith, CH Yeh, A Connelly, F Calamante NeuroImage 194, 68-81, 2019 | 77 | 2019 |
| Correction for diffusion MRI fibre tracking biases: The consequences for structural connectomic metrics CH Yeh, RE Smith, X Liang, F Calamante, A Connelly Neuroimage 142, 150-162, 2016 | 76 | 2016 |
| Reduced white matter fiber density in autism spectrum disorder D Dimond, M Schuetze, RE Smith, T Dhollander, I Cho, S Vinette, ... Cerebral Cortex 29 (4), 1778-1788, 2019 | 72 | 2019 |
| Early childhood development of white matter fiber density and morphology D Dimond, CS Rohr, RE Smith, T Dhollander, I Cho, C Lebel, D Dewey, ... NeuroImage 210, 116552, 2020 | 61 | 2020 |
| 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 |
| Quantitative streamlines tractography: methods and inter-subject normalisation RE Smith, D Raffelt, JD Tournier, A Connelly OHBM Aperture 2022 (2), 2022 | 50 | 2022 |
| The efficacy of different preprocessing steps in reducing motion-related confounds in diffusion MRI connectomics S Oldham, A Arnatkevic̆iūtė, RE Smith, J Tiego, MA Bellgrove, A Fornito NeuroImage 222, 117252, 2020 | 50 | 2020 |
