M. Woolrich
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- Publications
- Influence
Advances in functional and structural MR image analysis and implementation as FSL
- S. Smith, M. Jenkinson, M. Woolrich, C. Beckmann, P. Matthews
- Computer Science, Medicine
- NeuroImage
- 31 December 2004
The techniques available for the interrogation and analysis of neuroimaging data have a large influence in determining the flexibility, sensitivity, and scope of neuroimaging experiments. The… Expand
Characterization and propagation of uncertainty in diffusion‐weighted MR imaging
- T. Behrens, M. Woolrich, +6 authors S. Smith
- Medicine, Mathematics
- Magnetic resonance in medicine
- 1 November 2003
A fully probabilistic framework is presented for estimating local probability density functions on parameters of interest in a model of diffusion. This technique is applied to the estimation of… Expand
FSL
- M. Jenkinson, C. Beckmann, Timothy Edward John Behrens, M. Woolrich, S. Smith
- Computer Science, Medicine
- NeuroImage
- 15 August 2012
FSL (the FMRIB Software Library) is a comprehensive library of analysis tools for functional, structural and diffusion MRI brain imaging data, written mainly by members of the Analysis Group, FMRIB,… Expand
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
- Timothy Edward John Behrens, H. Johansen-Berg, S. Jbabdi, M. Rushworth, M. Woolrich
- Medicine, Computer Science
- NeuroImage
- 1 January 2007
We present a direct extension of probabilistic diffusion tractography to the case of multiple fibre orientations. Using automatic relevance determination, we are able to perform online selection of… Expand
Bayesian analysis of neuroimaging data in FSL
- M. Woolrich, S. Jbabdi, +6 authors S. Smith
- Computer Science, Medicine
- NeuroImage
- 1 March 2009
Typically in neuroimaging we are looking to extract some pertinent information from imperfect, noisy images of the brain. This might be the inference of percent changes in blood flow in perfusion… Expand
Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging
- Timothy Edward John Behrens, H. Johansen-Berg, +10 authors P. Matthews
- Biology, Medicine
- Nature Neuroscience
- 1 July 2003
Evidence concerning anatomical connectivities in the human brain is sparse and based largely on limited post-mortem observations. Diffusion tensor imaging has previously been used to define large… Expand
Temporal Autocorrelation in Univariate Linear Modeling of FMRI Data
- M. Woolrich, B. Ripley, M. Brady, S. Smith
- Mathematics, Medicine
- NeuroImage
- 1 December 2001
In functional magnetic resonance imaging statistical analysis there are problems with accounting for temporal autocorrelations when assessing change within voxels. Techniques to date have utilized… Expand
Network modelling methods for FMRI
- S. Smith, K. Miller, +5 authors M. Woolrich
- Computer Science, Medicine
- NeuroImage
- 15 January 2011
There is great interest in estimating brain "networks" from FMRI data. This is often attempted by identifying a set of functional "nodes" (e.g., spatial ROIs or ICA maps) and then conducting a… Expand
Learning the value of information in an uncertain world
- T. Behrens, M. Woolrich, M. Walton, M. Rushworth
- Psychology, Medicine
- Nature Neuroscience
- 1 September 2007
Our decisions are guided by outcomes that are associated with decisions made in the past. However, the amount of influence each past outcome has on our next decision remains unclear. To ensure… Expand
Investigating the electrophysiological basis of resting state networks using magnetoencephalography
- M. Brookes, M. Woolrich, +6 authors P. Morris
- Computer Science, Medicine
- Proceedings of the National Academy of Sciences
- 19 September 2011
In recent years the study of resting state brain networks (RSNs) has become an important area of neuroimaging. The majority of studies have used functional magnetic resonance imaging (fMRI) to… Expand