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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.

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Journal ArticleDOI

Author Correction: The challenge of mapping the human connectome based on diffusion tractography.

Klaus H. Maier-Hein, +76 more
TL;DR: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Proceedings ArticleDOI

Estimation of uncertainty in constrained spherical deconvolution fiber orientations

TL;DR: This work investigated the performance of a statistical method called the bootstrap, when estimating confidence intervals for CSD fiber orientations, and used Monte Carlo simulations to measure both its accuracy and precision when applied to CSD.
Posted ContentDOI

Harmonization of diffusion MRI datasets with adaptive dictionary learning

TL;DR: A new harmonization algorithm based on adaptive dictionary learning to mitigate the unwanted variability caused by different scanner hardware while preserving the natural biological variability present in the data is proposed.
Journal ArticleDOI

A Different Brain: Anomalies of Functional and Structural Connections in Williams Syndrome.

TL;DR: Preliminary findings may reflect an altered “wiring” of the brain in WS, which can be driven by hyper-connectivity of the posterior regions as opposed to disrupted connectivity in the anterior areas, supporting the hypothesis that a different brain could be associated with a different (organization of) behavior in Williams Syndrome.
Journal ArticleDOI

Diffusion MRI of the brain: The naked truth.

TL;DR: The title suggests, the review papers in this issue do not merely cover the glorious successes of new methods in diffusion MRI and their applications in brain research, they also provide critical views on unresolved issues which hopefully will spark new developments that address the current challenges in diffusionMRI.