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 | 323 | 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 | 227 | 2019 |
Analyzing fMRI experiments with structural adaptive smoothing procedures K Tabelow, J Polzehl, HU Voss, V Spokoiny NeuroImage 33 (1), 55-62, 2006 | 104 | 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 | 103 | 2007 |
Diffusion tensor imaging: structural adaptive smoothing K Tabelow, J Polzehl, V Spokoiny, HU Voss NeuroImage 39 (4), 1763-1773, 2008 | 90 | 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 | 69 | 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 | 56 | 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 | 52 | 2014 |
Structural adaptive segmentation for statistical parametric mapping J Polzehl, HU Voss, K Tabelow NeuroImage 52 (2), 515-523, 2010 | 39 | 2010 |
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 | 38 | 2011 |
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 | 37 | 2009 |
Example dataset for the hMRI toolbox MF Callaghan, A Lutti, J Ashburner, E Balteau, N Corbin, B Draganski, ... Data in brief 25, 104132, 2019 | 34 | 2019 |
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 | 33 | 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, 96455, 2015 | 31 | 2015 |
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 | 31 | 2012 |
Low SNR in diffusion MRI models J Polzehl, K Tabelow Journal of the American Statistical Association 111 (516), 1480-1490, 2016 | 27 | 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 | 21 | 2000 |
POAS4SPM: a toolbox for SPM to denoise diffusion MRI data K Tabelow, S Mohammadi, N Weiskopf, J Polzehl Neuroinformatics 13, 19-29, 2015 | 18 | 2015 |
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 | 18 | 2008 |
Mathematical models as research data via flexiformal theory graphs M Kohlhase, T Koprucki, D Müller, K Tabelow Intelligent Computer Mathematics: 10th International Conference, CICM 2017 …, 2017 | 14 | 2017 |