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Is removal of weak connections necessary for graph-theoretical analysis of dense weighted structural connectomes from diffusion MRI?, , , , and . NeuroImage, (2019)Quantification of voxel-wise total fibre density: Investigating the problems associated with track-count mapping., , , , and . NeuroImage, (2015)Fourier Tract Sampling (FouTS): A framework for improved inference of white matter tracts from diffusion MRI by explicitly modelling tract volume., , , , , and . NeuroImage, (2015)Correction for diffusion MRI fibre tracking biases: The consequences for structural connectomic metrics., , , , and . NeuroImage, (2016)Connectomes from streamlines tractography: Assigning streamlines to brain parcellations is not trivial but highly consequential., , , , and . NeuroImage, (2019)Quantification of track-weighted imaging (TWI): Characterisation of within-subject reproducibility and between-subject variability., , , , , and . NeuroImage, (2014)Mapping somatosensory connectivity in adult mice using diffusion MRI tractography and super-resolution track density imaging., , , , , , , , , and 2 other author(s). NeuroImage, (2014)MRtrix: Diffusion tractography in crossing fiber regions., , and . Int. J. Imaging Systems and Technology, 22 (1): 53-66 (2012)Track density imaging (TDI): Validation of super resolution property., , , , , and . NeuroImage, 56 (3): 1259-1266 (2011)The effects of SIFT on the reproducibility and biological accuracy of the structural connectome., , , and . NeuroImage, (2015)