| Adaptive weights smoothing with applications to image restoration J Polzehl, VG Spokoiny Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2000 | 315 | 2000 |
| Propagation-separation approach for local likelihood estimation J Polzehl, V Spokoiny Probability Theory and Related Fields 135 (3), 335-362, 2006 | 260 | 2006 |
| Structure adaptive approach for dimension reduction M Hristache, A Juditsky, J Polzehl, V Spokoiny Annals of Statistics, 1537-1566, 2001 | 259 | 2001 |
| Simultaneous bootstrap confidence bands in nonparametric regression MH Neumann, J Polzehl Journal of Nonparametric Statistics 9 (4), 307-333, 1998 | 132 | 1998 |
| On bandwidth choice in nonparametric regression with both short-and long-range dependent errors P Hall, SN Lahiri, J Polzehl The Annals of Statistics 23 (6), 1921-1936, 1995 | 112 | 1995 |
| Analyzing fMRI experiments with structural adaptive smoothing procedures K Tabelow, J Polzehl, HU Voss, V Spokoiny NeuroImage 33 (1), 55-62, 2006 | 109 | 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 | 106 | 2007 |
| Diffusion tensor imaging: structural adaptive smoothing K Tabelow, J Polzehl, V Spokoiny, HU Voss NeuroImage 39 (4), 1763-1773, 2008 | 95 | 2008 |
| Image denoising: pointwise adaptive approach J Polzehl, V Spokoiny The Annals of Statistics 31 (1), 30-57, 2003 | 80 | 2003 |
| 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 | 70 | 2012 |
| Local likelihood modeling by adaptive weights smoothing J Polzehl, V Spokoiny | 61 | 2004 |
| Model selection, transformations and variance estimation in nonlinear regression O Bunke, B Droge, J Polzehl Statistics: A Journal of Theoretical and Applied Statistics 33 (3), 197-240, 1999 | 59* | 1999 |
| 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 | 56 | 2014 |
| Adaptive smoothing of digital images: The R package adimpro J Polzehl, K Tabelow Journal of Statistical Software 19, 1-17, 2007 | 52 | 2007 |
| Statistical parametric maps for functional MRI experiments in R: The package fmri K Tabelow, J Polzehl Journal of Statistical Software 44, 1-21, 2011 | 48 | 2011 |
| Structural adaptive segmentation for statistical parametric mapping J Polzehl, HU Voss, K Tabelow NeuroImage 52 (2), 515-523, 2010 | 42 | 2010 |
| 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 | 42 | 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 | 41 | 2011 |
| Projection pursuit discriminant analysis J Polzehl Computational statistics & data analysis 20 (2), 141-157, 1995 | 41 | 1995 |
| 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 | 35 | 2012 |
