Karsten Tabelow
Karsten Tabelow
Bestätigte E-Mail-Adresse bei - Startseite
Zitiert von
Zitiert von
Dissociations between behavioural and functional magnetic resonance imaging-based evaluations of cognitive function after brain injury
JC Bardin, JJ Fins, DI Katz, J Hersh, LA Heier, K Tabelow, JP Dyke, ...
Brain 134 (3), 769-782, 2011
hMRI–A toolbox for quantitative MRI in neuroscience and clinical research
K Tabelow, E Balteau, J Ashburner, MF Callaghan, B Draganski, G Helms, ...
Neuroimage 194, 191-210, 2019
Analyzing fMRI experiments with structural adaptive smoothing procedures
K Tabelow, J Polzehl, HU Voss, V Spokoiny
NeuroImage 33 (1), 55-62, 2006
Functional MRI of the zebra finch brain during song stimulation suggests a lateralized response topography
HU Voss, K Tabelow, J Polzehl, O Tchernichovski, KK Maul, ...
Proceedings of the National Academy of Sciences 104 (25), 10667-10672, 2007
Diffusion tensor imaging: structural adaptive smoothing
K Tabelow, J Polzehl, V Spokoiny, HU Voss
NeuroImage 39 (4), 1763-1773, 2008
Position-orientation adaptive smoothing of diffusion weighted magnetic resonance data (POAS)
SMA Becker, K Tabelow, HU Voss, A Anwander, RM Heidemann, ...
Medical image analysis 16 (6), 1142-1155, 2012
Evidence for early, non-lesional cerebellar damage in patients with multiple sclerosis: DTI measures correlate with disability, atrophy, and disease duration
M Deppe, K Tabelow, J Krämer, JG Tenberge, P Schiffler, S Bittner, ...
Multiple Sclerosis Journal 22 (1), 73-84, 2016
Adaptive smoothing of multi-shell diffusion weighted magnetic resonance data by msPOAS
SMA Becker, K Tabelow, S Mohammadi, N Weiskopf, J Polzehl
Neuroimage 95, 90-105, 2014
High-resolution fMRI: Overcoming the signal-to-noise problem
K Tabelow, V Piëch, J Polzehl, HU Voss
Journal of Neuroscience Methods 178 (2), 357-365, 2009
Image analysis and statistical inference in neuroimaging with R
K Tabelow, JD Clayden, PL de Micheaux, J Polzehl, VJ Schmid, ...
NeuroImage 55 (4), 1686-1693, 2011
Structural adaptive segmentation for statistical parametric mapping
J Polzehl, HU Voss, K Tabelow
NeuroImage 52 (2), 515-523, 2010
Modeling the orientation distribution function by mixtures of angular central Gaussian distributions
K Tabelow, HU Voss, J Polzehl
Journal of neuroscience methods 203 (1), 200-211, 2012
Local estimation of the noise level in MRI using structural adaptation
K Tabelow, HU Voss, J Polzehl
Medical image analysis 20 (1), 76-86, 2015
High-resolution diffusion kurtosis imaging at 3T enabled by advanced post-processing
S Mohammadi, K Tabelow, L Ruthotto, T Feiweier, J Polzehl, N Weiskopf
Frontiers in Neuroscience 8, 427, 2015
Example dataset for the hMRI toolbox
MF Callaghan, A Lutti, J Ashburner, E Balteau, N Corbin, B Draganski, ...
Data in brief 25, 104132, 2019
Low SNR in diffusion MRI models
J Polzehl, K Tabelow
Journal of the American Statistical Association 111 (516), 1480-1490, 2016
Formation of color-singlet gluon clusters and inelastic diffractive scattering
C Boros, M Ta-Chung, R Rittel, K Tabelow, Z Yang
Physical Review D 61 (9), 094010, 2000
Accurate localization of brain activity in presurgical fMRI by structure adaptive smoothing
K Tabelow, J Polzehl, AM Ulug, JP Dyke, R Watts, LA Heier, HU Voss
IEEE Transactions on Medical Imaging 27 (4), 531-537, 2008
POAS4SPM: a toolbox for SPM to denoise diffusion MRI data
K Tabelow, S Mohammadi, N Weiskopf, J Polzehl
Neuroinformatics 13, 19-29, 2015
Beyond the Gaussian model in diffusion-weighted imaging: the package dti
J Polzehl, K Tabelow
Journal of Statistical Software 44, 1-26, 2011
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