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Alexander Leemans
Researcher at Utrecht University
Publications - 306
Citations - 21500
Alexander Leemans is an academic researcher from Utrecht University. The author has contributed to research in topics: Diffusion MRI & Fractional anisotropy. The author has an hindex of 64, co-authored 289 publications receiving 17932 citations. Previous affiliations of Alexander Leemans include Australian Catholic University & Cardiff University.
Papers
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Journal ArticleDOI
Quantitative diffusion tensor imaging in amyotrophic lateral sclerosis: revisited.
Caroline A. Sage,Wim Van Hecke,Ronald R. Peeters,Jan Sijbers,Wim Robberecht,Paul M. Parizel,Guy Marchal,Alexander Leemans,Alexander Leemans,Stefan Sunaert +9 more
TL;DR: This study provides support for the view of ALS as a multisystem disease, in which the entire frontotemporal lobe is implicated, with more reliable voxel‐wise statistical results than had previously been possible.
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Disruption of cerebral networks and cognitive impairment in Alzheimer disease
Yael D. Reijmer,Alexander Leemans,Karen Caeyenberghs,Sophie M. Heringa,Huiberdina L. Koek,Geert Jan Biessels +5 more
TL;DR: This study shows that network-based analysis of brain white matter connections provides a novel way to reveal the structural basis of cognitive dysfunction in AD.
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PCA-based groupwise image registration for quantitative MRI.
Wyke Huizinga,Dirk H. J. Poot,Dirk H. J. Poot,Jean-Marie Guyader,Remy Klaassen,Bram F. Coolen,M. van Kranenburg,R.J. Van Geuns,André Uitterdijk,Mathias Polfliet,Mathias Polfliet,Jef Vandemeulebroucke,Jef Vandemeulebroucke,Alexander Leemans,Wiro J. Niessen,Wiro J. Niessen,Stefan Klein +16 more
TL;DR: The groupwise registration method with a similarity measure based on PCA is the preferred technique for compensating misalignments in qMRI.
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Signal to noise ratio and uncertainty in diffusion tensor imaging at 1.5, 3.0, and 7.0 Tesla
Daniel L. Polders,Alexander Leemans,Jeroen Hendrikse,Manus J. Donahue,Peter R. Luijten,Johannes M. Hoogduin +5 more
TL;DR: To compare diffusion tensor imaging (DTI) measurements at ultra high field strength (7 Tesla [T]) in human volunteers with DTI measurements performed at 1.5 and 3 Tesla is compared.
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Nonrigid Coregistration of Diffusion Tensor Images Using a Viscous Fluid Model and Mutual Information
W. Van Hecke,Alexander Leemans,Emiliano D'Agostino,S. De Backer,E. Vandervliet,Paul M. Parizel,Jan Sijbers +6 more
TL;DR: A nonrigid coregistration algorithm based on a viscous fluid model is proposed that has been optimized for diffusion tensor images (DTI), in which image correspondence is measured by the mutual information criterion.