Articles with public access mandates - Joerg PolzehlLearn more
Not available anywhere: 4
Low SNR in diffusion MRI models
J Polzehl, K Tabelow
Journal of the American Statistical Association 111 (516), 1480-1490, 2016
Mandates: US National Science Foundation, US National Institutes of Health
Displacement and pressure reconstruction from magnetic resonance elastography images: Application to an in silico brain model
F Galarce, K Tabelow, J Polzehl, CP Papanikas, V Vavourakis, L Lilaj, ...
SIAM Journal on Imaging Sciences 16 (2), 996-1027, 2023
Mandates: German Research Foundation
On a database of simulated TEM images for in (Ga) as/GaAs quantum dots with various shape
T Koprucki, A Maltsi, T Niermann, T Streckenbach, K Tabelow, J Polzehl
2019 International Conference on Numerical Simulation of Optoelectronic …, 2019
Mandates: German Research Foundation
Towards model-based geometry reconstruction of quantum dots from TEM
T Koprucki, A Maltsi, T Niermann, T Streckenbach, K Tabelow, J Polzehl
2018 International Conference on Numerical Simulation of Optoelectronic …, 2018
Mandates: German Research Foundation
Available somewhere: 31
Analyzing fMRI experiments with structural adaptive smoothing procedures
K Tabelow, J Polzehl, HU Voss, V Spokoiny
NeuroImage 33 (1), 55-62, 2006
Mandates: German Research Foundation
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
Mandates: German Research Foundation
Diffusion tensor imaging: structural adaptive smoothing
K Tabelow, J Polzehl, V Spokoiny, HU Voss
NeuroImage 39 (4), 1763-1773, 2008
Mandates: German Research Foundation
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
Mandates: German Research Foundation
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
Mandates: German Research Foundation, Wellcome Trust
Adaptive smoothing of digital images: The R package adimpro
J Polzehl, K Tabelow
Journal of Statistical Software 19, 1-17, 2007
Mandates: German Research Foundation
Statistical parametric maps for functional MRI experiments in R: The package fmri
K Tabelow, J Polzehl
Journal of Statistical Software 44, 1-21, 2011
Mandates: German Research Foundation
Structural adaptive segmentation for statistical parametric mapping
J Polzehl, HU Voss, K Tabelow
NeuroImage 52 (2), 515-523, 2010
Mandates: German Research Foundation
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
Mandates: German Research Foundation
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
Mandates: German Research Foundation
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
Mandates: German Research Foundation
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
Mandates: German Research Foundation, Wellcome Trust
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
Mandates: German Research Foundation
Structural adaptive smoothing in diffusion tensor imaging: The R package dti
J Polzehl, K Tabelow
Journal of Statistical Software 31, 1-23, 2009
Mandates: German Research Foundation
Varying coefficient GARCH versus local constant volatility modeling: comparison of the predictive power
J Polzehl, V Spokoiny
SFB 649 Discussion Paper, 2006
Mandates: German Research Foundation
POAS4SPM: a toolbox for SPM to denoise diffusion MRI data
K Tabelow, S Mohammadi, N Weiskopf, J Polzehl
Neuroinformatics 13, 19-29, 2015
Mandates: German Research Foundation, Wellcome Trust
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