WIAS Preprint List: Tabelow, Karsten

• 3105: Dong, Guozhi; Flaschel, Moritz; Hintermüller, Michael; Papafitsoros, Kostas; Sirotenko, Clemens; Tabelow, Karsten
  Data--driven methods for quantitative imaging
  
• 2933: Galarce Marín, Felipe; Tabelow, Karsten; Polzehl, Jörg; Papanikas, Christos Panagiotis; Vavourakis, Vasileios; Lilaj, Ledia; Sack, Ingolf; Caiazzo, Alfonso
  Displacement and pressure reconstruction from magnetic resonance elastography images: Application to an in silico brain model
  Appeared in: SIAM J. Imaging Sci., 16 (2023), pp. 996--1027, DOI 10.1137/22M149363X .
• 2806: Neumann, André; Peitek, Norman; Brechmann, André; Tabelow, Karsten; Dickhaus, Thorsten
  Utilizing anatomical information for signal detection in functional magnetic resonance imaging
  
• 2682: Maltsi, Anieza; Niermann, Tore; Streckenbach, Timo; Tabelow, Karsten; Koprucki, Thomas
  Numerical simulation of TEM images for In(Ga)As/GaAs quantum dots with various shapes
  Appeared in: Opt. Quantum Electron., (2020), pp. 257/1--257/11 (published online on 05.05.2020), DOI 10.1007/s11082-020-02356-y .
• 2527: Balteau, Evelyne; Tabelow, Karsten; Ashburner, John; Callaghan, Martina F.; Draganski, Bogdan; Helms, Gunther; Kherif, Ferath; Leutritz, Tobias; Lutti, Antoine; Phillips, Christophe; Reimer, Enrico; Ruthotto, Lars; Seif, Maryam; Weiskopf, Nikolaus; Ziegler, Gabriel; Mohammadi, Siawoosh
  hMRI -- A toolbox for using quantitative MRI in neuroscience and clinical research
  Appeared in: NeuroImage, (2018), published online on 21.01.2019, under the new title: hMRI -- A toolbox for quantitative MRI in neuroscience and clinical research, DOI 10.1016/j.neuroimage.2019.01.029 .
• 2520: Polzehl, Jörg; Papafitsoros, Kostas; Tabelow, Karsten
  Patch-wise adaptive weights smoothing
  Appeared in: J. Statist. Software, 95 (2020), pp. 1--27, DOI 10.18637/jss.v095.i06 .
• 2432: Mohammadi, Siawoosh; D'Alonzo, Chiara; Ruthotto, Lars; Polzehl, Jörg; Ellerbrock, Isabel; Callaghan, Martina F.; Weiskopf, Nikolaus; Tabelow, Karsten
  Simultaneous adaptive smoothing of relaxometry and quantitative magnetization transfer mapping
  
• 2431: Koprucki, Thomas; Kohlhase, Michael; Tabelow, Karsten; Müller, Dennis; Rabe, Florian
  Model pathway diagrams for the representation of mathematical models
  Appeared in: Opt. Quantum Electron., 50 (2018), pp. 70/1--70/9, DOI 10.1007/s11082-018-1321-7 .
• 2385: Kohlhase, Michael; Koprucki, Thomas; Müller, Dennis; Tabelow, Karsten
  Mathematical models as research data via flexiformal theory graphs
  Appeared in: Intelligent Computer Mathematics: 10th International Conference, CICM 2017, Edinburgh, UK, July 17-21, 2017, Proceedings, H. Geuvers, M. England, O. Hasan, F. Rabe , O. Teschke, eds., Springer International Publishing, Cham, 2017, pp. 224--238, DOI 10.1007/978-3-319-62075-6_16 .
• 2267: Koprucki, Thomas; Tabelow, Karsten
  Mathematical models: A research data category?
  Appeared in: Mathematical Software -- ICMS 2016: 5th International Conference, Berlin, Germany, July 11--14, 2016, Proceedings, G.-M. Greuel, Th. Koch, P. Paule, A. Sommese, eds., Lecture Notes in Computer Science, Springer International Publishing AG Switzerland, Cham, 2016, pp. 423--428.
• 2229: Avanesov, Valeriy; Polzehl, Jörg; Tabelow, Karsten
  Consistency results and confidence intervals for adaptive l1-penalized estimators of the high-dimensional sparse precision matrix
  
• 2179: Polzehl, Jörg; Tabelow, Karsten
  Modeling high resolution MRI: Statistical issues with low SNR
  Appeared in: J. Amer. Statist. Assoc., 111 (2016), pp. 1480--1490, DOI 10.1080/01621459.2016.1222284 .
• 2170: Deliano, Matthias; Tabelow, Karsten; König, Reinhard; Polzehl, Jörg
  Improving accuracy and temporal resolution of learning curve estimation for within- and across-session analysis
  Appeared in: PLOS ONE, 11 (2016) pp. e0157355/1--e0157355/23, DOI 10.1371/journal.pone.0157355 .
• 2127: Schildknecht, Konstantin; Tabelow, Karsten; Dickhaus, Thorsten
  More specific signal detection in functional magnetic resonance imaging by false discovery rate control for hierarchically structured systems of hypotheses
  Appeared in: PLOS ONE, 11 (2016) pp. e0149016/1--e0149016/21, DOI 10.1371/journal.pone.0149016 .
• 1947: Tabelow, Karsten; Voss, Henning U.; Polzehl, Jörg
  Local estimation of the noise level in MRI using structural adaptation
  Appeared in: Med. Image Anal., 20 (2015) pp. 76--86.
• 1856: Tabelow, Karsten; Mohammadi, Siawoosh; Weiskopf, Nikolaus; Polzehl, Jörg
  POAS4SPM --- A toolbox for SPM to denoise diffusion MRI data
  Appeared in: Neuroinformatics, 13 (2015) pp. 19--29.
• 1809: Becker, Saskia; Tabelow, Karsten; Mohammadi, Siawoosh; Weiskopf, Nikolaus; Polzehl, Jörg
  Adaptive smoothing of multi-shell diffusion-weighted magnetic resonance data by msPOAS
  Appeared in: NeuroImage, 95 (2014) pp. 90--105.
• 1805: Welvaert, Marijke; Tabelow, Karsten; Seurinck, Ruth; Rosseel, Yves
  Adaptive smoothing as inference strategy: More specificity for unequally sized or neighboring regions
  Appeared in: Neuroinformatics, 11 (2013) pp. 435--445.
• 1668: Becker, Saskia; Tabelow, Karsten; Voss, Henning U.; Anwander, Alfred; Heidemann, Robin M.; Polzehl, Jörg
  Position-orientation adaptive smoothing of diffusion weighted magnetic resonance data (POAS)
  Appeared in: Medical Image Analysis, 16 (2012) pp. 1142--1155
• 1578: Tabelow, Karsten; Clayden, Jon D.; Lafaye de Micheaux, Pierre; Polzehl, Jörg; Schmid, Volker J.; Whitcher, Brandon
  Image analysis and statistical inference in neuroimaging with R
  Appeared in: NeuroImage, 55 (2011) pp. 1686--1693
• 1563: Polzehl, Jörg; Tabelow, Karsten
  Beyond the diffusion tensor model: The package dti
  Appeared in: J. Statist. Software, 44, issue 12 (2011) pp. 1--26.
• 1562: Tabelow, Karsten; Polzehl, Jörg
  Statistical parametric maps for functional MRI experiments in R: The package fmri
  Appeared in: J. Statist. Software, 44, issue 11 (2011) pp. 1--21.
• 1559: Tabelow, Karsten; Voss, Henning U.; Polzehl, Jörg
  Modeling the orientation distribution function by mixtures of angular central Gaussian distributions
  Appeared in: J. Neurosci. Meth., 203 (2012) pp. 200--211.
• 1484: Polzehl, Jörg; Voss, Henning U.; Tabelow, Karsten
  Structural adaptive segmentation for statistical parametric mapping
  Appeared in: NeuroImage, 52 (2010) pp. 515--523.
• 1412: Polzehl, Jörg; Tabelow, Karsten
  Structural adaptive smoothing: Principles and applications in imaging
  Appeared in: P. Jörg, T. Karsten, Structural adaptive smoothing: principles and applications in imaging, F. L., D. R., J. G., L. M. - C. van, D. L., eds., vol. 41 of Computational imaging and vision, Springer, London, 2012, pp. 65--81
• 1382: Polzehl, Jörg; Tabelow, Karsten
  Structural adaptive smoothing in diffusion tensor imaging: The R package dti
  Appeared in: J. Statist. Software, 31 (2009) pp. 1--24.
• 1353: Tabelow, Karsten; Piëch, Valentin; Polzehl, Jörg; Voss, Henning U.
  High resolution fMRI: Overcoming the signal-to-noise problem
  Appeared in: J. Neurosci. Meth., 178 (2009) pp. 357--365.
• 1232: Tabelow, Karsten; Polzehl, Jörg; Spokoiny, Vladimir; Voss, Henning U.
  Diffusion Tensor Imaging: Structural adaptive smoothing
  Appeared in: NeuroImage, 39 (2008) pp. 1763--1773.
• 1177: Polzehl, Jörg; Tabelow, Karsten
  Adaptive smoothing of digital images: The R package adimpro
  Appeared in: J. Statist. Software, 19 (2007) pp. 1--17.
• 1119: Tabelow, Karsten; Polzehl, Jörg; Uluğ, Aziz M.; Dyke, Jonathan P.; Watts, Richard; Heier, Linda A.; Voss, Henning U.
  Accurate localization of brain activity in presurgical fMRI by structure adaptive smoothing
  Appeared in: IEEE Trans. Med. Imaging, 27 (2008) pp. 531--537.
• 1079: Tabelow, Karsten; Polzehl, Jörg; Spokoiny, Vladimir
  Analysing fMRI experiments with structural adaptive smoothing procedures
  Appeared in: NeuroImage, 33 (2006) pp. 55--62.

WIAS Technical Report List: Tabelow, Karsten

• 11: Hoffmann, Devy; Tabelow, Karsten
  Structural adaptive smoothing for single-subject analysis in SPM: The aws4SPM-toolbox
  
• 10: Polzehl, Jörg; Tabelow, Karsten
  Analysing fMRI experiments with the fmri package in R. Version 1.0 --- A users guide
  Appeared in: R News, 7 (2007) pp.13--17