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- David Raffelt
aka: David A. Raffelt
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Publication search results
found 13 matches
- 2021
- Thijs Dhollander, Adam Clemente, Mervyn Singh, Frederique Boonstra, Oren Civier, Juan Dominguez Duque, Natalia Egorova, Peter Enticott, Ian Fuelscher, Sanuji Gajamange, Sila Genc, Elie Gottlieb, Christian Hyde, Phoebe Imms, Claire E. Kelly, Melissa Kirkovski, Scott C. Kolbe, Xiaoyun Liang, Atul Malhotra, Remika Mito, Govinda Poudel, Tim J. Silk, David N. Vaughan, Julien Zanin, David Raffelt, Karen Caeyenberghs:
Fixel-based Analysis of Diffusion MRI: Methods, Applications, Challenges and Opportunities. NeuroImage 241: 118417 (2021) - 2019
- Jacques-Donald Tournier, Robert E. Smith, David Raffelt, Rami Tabbara, Thijs Dhollander, Maximilian Pietsch, Daan Christiaens, Ben Jeurissen, Chun-Hung Yeh, Alan Connelly:
MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation. NeuroImage 202 (2019) - 2017
- David A. Raffelt, Jacques-Donald Tournier, Robert E. Smith, David N. Vaughan, Graeme D. Jackson, Gerard R. Ridgway, Alan Connelly:
Investigating white matter fibre density and morphology using fixel-based analysis. NeuroImage 144: 58-73 (2017) - Krzysztof J. Gorgolewski, Fidel Alfaro-Almagro, Tibor Auer, Pierre Bellec, Mihai Capota, M. Mallar Chakravarty, Nathan William Churchill, Alexander Li Cohen, R. Cameron Craddock, Gabriel A. Devenyi, Anders Eklund, Oscar Esteban, Guillaume Flandin, Satrajit S. Ghosh, J. Swaroop Guntupalli, Mark Jenkinson, Anisha Keshavan, Gregory Kiar, Franziskus Liem, Pradeep Reddy Raamana, David Raffelt, Christopher John Steele, Pierre-Olivier Quirion, Robert E. Smith, Stephen C. Strother, Gaël Varoquaux, Yida Wang, Tal Yarkoni, Russell A. Poldrack:
BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods. PLoS Comput. Biol. 13(3) (2017) - 2015
- Fernando Calamante, Robert E. Smith, Jacques-Donald Tournier, David Raffelt, Alan Connelly:
Quantification of voxel-wise total fibre density: Investigating the problems associated with track-count mapping. NeuroImage 117: 284-293 (2015) - David A. Raffelt, Robert E. Smith, Gerard R. Ridgway, Jacques-Donald Tournier, David N. Vaughan, Stephen E. Rose, Robert D. Henderson, Alan Connelly:
Connectivity-based fixel enhancement: Whole-brain statistical analysis of diffusion MRI measures in the presence of crossing fibres. NeuroImage 117: 40-55 (2015) - 2014
- Lisa Willats, David Raffelt, Robert E. Smith, Jacques-Donald Tournier, Alan Connelly, Fernando Calamante:
Quantification of track-weighted imaging (TWI): Characterisation of within-subject reproducibility and between-subject variability. NeuroImage 87: 18-31 (2014) - 2013
- Fernando Calamante, Richard A. J. Masterton, Jacques-Donald Tournier, Robert E. Smith, Lisa Willats, David Raffelt, Alan Connelly:
Track-weighted functional connectivity (TW-FC): A tool for characterizing the structural-functional connections in the brain. NeuroImage 70: 199-210 (2013) - 2012
- Kerstin Pannek, David Raffelt, Christopher Bell, Jane L. Mathias, Stephen E. Rose:
HOMOR: Higher Order Model Outlier Rejection for high b-value MR diffusion data. NeuroImage 63(2): 835-842 (2012) - David Raffelt, Jacques-Donald Tournier, Stephen E. Rose, Gerard R. Ridgway, Robert D. Henderson, Stuart Crozier, Olivier Salvado, Alan Connelly:
Apparent Fibre Density: A novel measure for the analysis of diffusion-weighted magnetic resonance images. NeuroImage 59(4): 3976-3994 (2012) - 2011
- David Raffelt:
Voxel-Based Analysis of High Angular Resolution Diffusion-Weighted Magnetic Resonance Images. University of Queensland, Australia, 2011 - David Raffelt, Jacques-Donald Tournier, Jurgen Fripp, Stuart Crozier, Alan Connelly, Olivier Salvado:
Symmetric diffeomorphic registration of fibre orientation distributions. NeuroImage 56(3): 1171-1180 (2011) - 2009
- Jason Dowling, Pierrick Bourgeat, David Raffelt, Jurgen Fripp, Peter B. Greer, Jacqueline Patterson, James Denham, Sanjiv Gupta, Colin Tang, Peter Stanwell, Sébastien Ourselin, Olivier Salvado:
Nonrigid correction of interleaving artefacts in pelvic MRI. Medical Imaging: Image Processing 2009: 72592P
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