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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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Quantifying the brain's sheet structure with normalized convolution.

TL;DR: A novel method to estimate the Lie bracket that does not involve the reconstruction of path neighborhoods with tractography is proposed, which requires the computation of derivatives of the fiber peak orientations of diffusion MRI fiber directions, and is based on an approach called normalized convolution.
Posted ContentDOI

Variability in the analysis of a single neuroimaging dataset by many teams

Rotem Botvinik-Nezer, +214 more
- 15 Nov 2019 - 
TL;DR: It is shown that analytic flexibility can have substantial effects on scientific conclusions, and the need for multiple analyses of the same data is demonstrated, and factors related to variability in fMRI are demonstrated.
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Antibody-Induced Internalization of the Human Respiratory Syncytial Virus Fusion Protein.

TL;DR: Internalization experiments with different cell lines, well-differentiated primary bronchial epithelial cells (WD-PBECs), and RSV isolates suggest that antibody internalization can be considered a general feature of RSV, and the mechanism of internalization was shown to be clathrin dependent.
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Diffusion tensor imaging and fiber tractography in children with craniosynostosis syndromes

TL;DR: Performing DTI fiber tractography in patients with craniosynostosis syndromes was difficult due to partial volume effects caused by an anisotropic voxel size and deformed brain structures, which suggest abnormal microstructural tissue properties of the investigated white matter tracts.
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D-BRAIN : Anatomically accurate simulated diffusion MRI brain data

TL;DR: A software phantom that approximates a human brain to a high degree of realism and that can incorporate complex brain-like structural features is proposed and referred to as a Diffusion BRAIN (D-BRAIN) phantom.