J
J M Brady
Researcher at University of Oxford
Publications - 11
Citations - 17007
J M Brady is an academic researcher from University of Oxford. The author has contributed to research in topics: Image processing & Motion estimation. The author has an hindex of 10, co-authored 11 publications receiving 15077 citations.
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Journal ArticleDOI
Advances in functional and structural MR image analysis and implementation as FSL.
Stephen M. Smith,Mark Jenkinson,Mark W. Woolrich,Mark W. Woolrich,Christian F. Beckmann,Behrens Tej.,Heidi Johansen-Berg,Peter R. Bannister,M De Luca,Ivana Drobnjak,D E Flitney,Rami K. Niazy,J Saunders,J Vickers,Yongyue Zhang,N. De Stefano,J M Brady,Paul M. Matthews +17 more
TL;DR: A review of the research carried out by the Analysis Group at the Oxford Centre for Functional MRI of the Brain (FMRIB) on the development of new methodologies for the analysis of both structural and functional magnetic resonance imaging data.
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Characterization and propagation of uncertainty in diffusion-weighted MR imaging.
Timothy E.J. Behrens,Mark W. Woolrich,Mi Jenkinson,Heidi Johansen-Berg,Rita G. Nunes,Stuart Clare,Paul M. Matthews,J M Brady,Stephen M. Smith +8 more
TL;DR: A fully probabilistic framework is presented for estimating local probability density functions on parameters of interest in a model of diffusion, allowing for the quantification of belief in tractography results and the estimation of the cortical connectivity of the human thalamus.
Journal ArticleDOI
Changes in connectivity profiles define functionally-distinct regions in human medial frontal cortex
Heidi Johansen-Berg,Timothy E.J. Behrens,Matthew D. Robson,Ivana Drobnjak,Matthew F. S. Rushworth,J M Brady,Stephen M. Smith,Desmond J. Higham,Paul M. Matthews +8 more
TL;DR: A strong relationship between structure and function in medial frontal cortex is demonstrated and a strategy for testing such correspondences elsewhere in the brain is offered.
Journal ArticleDOI
Removal of FMRI environment artifacts from EEG data using optimal basis sets.
Rami K. Niazy,Christian F. Beckmann,Gian Domenico Iannetti,Gian Domenico Iannetti,J M Brady,Stephen M. Smith +5 more
TL;DR: New methods to remove both kinds of artifact from functional magnetic resonance imaging and electroencephalography and a robust algorithm for the accurate detection of heart beat peaks from poor quality electrocardiographic data that are collected for the purpose of BCG artifact removal are described.
Journal ArticleDOI
ASSET-2: real-time motion segmentation and shape tracking
Stephen M. Smith,J M Brady +1 more
TL;DR: The feature-based optic flow field is segmented into clusters with affine internal motion which are tracked over time and runs in real-time, and is accurate and reliable.