Source: http://www.wias-berlin.de/projects/matheon_a3/publications.jsp
Timestamp: 2019-04-18 10:16:57+00:00

Document:
K. Tabelow and B. Whitcher (eds.) Magnetic Resonance Imaging in R Special Volume 44 of Journal of Statistical Software (2011).
K. Tabelow, J. Polzehl, Structural Adaptive Smoothing: Principles and Applications in "Mathematical Methods for Signal and Image Analysis and Representation" Florack, L. and Duits, R. and Jongbloed, G. and van Lieshout, M.-C. and Davies, L. (eds.), Springer (2012).
K. Tabelow, J.D. Clayden, P. Lafaye DE Micheaux, J. Polzehl, V.J. Schmid, B. Whitcher, Image analysis and statistical inference in neuroimaging with R, NeuroImage, 55 1686-1693 (2011).
J. Bardin, J. Fins, D. Katz, J. Hersh, L. Heier, K. Tabelow, J. Dyke, D. Ballon, N. Schiff, and H.U. Voss, Dissociations between behavioral and fMRI-based evaluations of cognitive function after brain injury, Brain, 134 769-782 (2011).
J. Polzehl, K. Tabelow. Structural adaptive segmentation of statistical parametric mapping., NeuroImage 52(2), 515-523 (2010).
J. Polzehl, K. Tabelow. Structural adaptive smoothing in diffusion tensor imaging: The R package dti., Journal of Statistical Software 31, 1-23 (2009).
K. Tabelow, J. Polzehl, H.U. Voss, and V. Spokoiny. Diffusion Tensor Imaging: Structural adaptive smoothing., NeuroImage 39(4), 1763-1773 (2008).
D. Belomestny and V. Spokoiny. Spatial aggregation of local likelihood estimates with applications to classification. Annals of Statistics 25, 2287-2311 (2007).
K. Tabelow, J. Polzehl, H.U. Voss, and V. Spokoiny. Analyzing fMRI experiments with structural adaptive smoothing procedures., NeuroImage 33(1), 55-62 (2006).
Goldenshluger, A. and Spokoiny, V. Recovering edges of an image from noisy tomographic data, IEEE Transactions on Information Theory, 52: 1322-1334 (2006).
A. Goldenshluger and V. Spokoiny. On the shape-from-moments problem and recovering edges from noisy Radon data. Probab. Theory Related Fields, 128:123-140 (2004).
J. Polzehl and V. Spokoiny. Functional and dynamic magnetic resonance using vector adaptive weights smoothing. J. Roy. Statist. Soc. Ser. C, 50:485-501 (2001).
J. Polzehl and V. Spokoiny. Adaptive Weights Smoothing with applications to image restoration. J. Roy. Statist. Soc. Ser. B 62:335-354 (2000).
A. Goldenshluger and V. Spokoiny. Recovering edges of an image from noisy tomographic data. WIAS-Preprint No. 909 (2004).
J. Polzehl and V. Spokoiny. Varying coefficient regression modeling by adaptive weights smoothing. Matheon-Preprint No. 83 (2004).
J. Polzehl, and V. Spokoiny. Spatially adaptive regression estimation: Propagation-separation approach. Matheon-Preprint No. 218 (2005).
K. Tabelow, J. Polzehl, H.U. Voss, and V. Spokoiny. Analyzing fMRI experiments with structural adaptive smoothing procedures. WIAS-Preprint No. 1079 (2005).
K. Tabelow, J. Polzehl, A.M. Ulug, J.P. Dyke, R. Watts, L.A. Heier, H.U. Voss. Accurate localization of brain activity in presurgical fMRI by structure adaptive smoothing. WIAS-Preprint No. 1119 (2006).
K. Tabelow, J. Polzehl. Adaptive smoothing of digital images: The R package adimpro. WIAS-Preprint No. 1177 (2006).
K. Tabelow, J. Polzehl, V. Spokoiny, and H.U. Voss. Diffusion Tensor Imaging: Structural adaptive smoothing. WIAS-Preprint No. 1232 (2007).
K. Tabelow, J. Polzehl, V. Spokoiny, and H.U. Voss. High-resolution fMRI: Overcoming the Signal-To-Noise Problem. WIAS-Preprint No. 1353 (2008).
J. Polzehl, K. Tabelow. Structural adaptive smoothing in diffusion tensor imaging: The R package dti. WIAS-Preprint No. 1382 (2008).
J. Polzehl, K. Tabelow. Structural adaptive smoothing: Principles and applications in imaging. WIAS-Preprint No. 1412 (2009).
J. Polzehl, K. Tabelow. Structural adaptive segmentation of statistical parametric mapping. WIAS-Preprint No. 1484 (2010).
K. Tabelow, H.U. Voss, J. Polzehl. Modeling the orientation distribution function by mixtures of angular central Gaussian distributions. WIAS-Preprint No. 1559 (2010).
University Maastricht September 28, 2011.
J. Polzehl. Adaptive smoothing by propagation-separation, Australian National University, Center of Mathematics and its Applications, March 31, 2005.
J. Polzehl. Image reconstruction and edge enhancement by structural adaptive smoothing, 55th Session of the International Statistical Institute (ISI), April 8, 2005.
J. Polzehl. Propagation-separation at work: Main ideas and applications, National University of Singapore, Department of Probability Theory and Statistics, March 24, 2005.
J. Polzehl. Spatially adaptive smoothing: A propagation-separation approach for imaging problems, Joint Statistical Meetings, August 11, 2005.
J. Polzehl. Structural adaptive smoothing by propagation-separation methods, Ludwig-Maximilians-Universität München, SFB 386, December 07, 2005.
J. Polzehl. Statistische Verfahren zur Bildrekonstruktion und Signalerkennung in Bildzeitreihen, Philips GmbH, Medizintechnik, December 15, 2006.
J. Polzehl. Statistische Verfahren, Bildrekonstruktion und Signalerkennung in Bildzeitreihen, November 16, 2006.
J. Polzehl. Structural adaptive smoothing by propagation-separation, 69th Annual Meeting of the IMS and 5th International Symposium on Probability and its Applications, July, 30, 2006.
J. Polzehl. Propagation-separation procedures for image processing, International Workshop on Image Analysis in the Life Sciences, Theory and Applications, Johannes Kepler Universität Linz, March 2, 2007.
J. Polzehl. Structural Adaptive Smoothing Magnetic Resonance Data - Part I/II; Part I: Funtional Magnetic Resonance Imaging, Seminar ``Modern Methods in Applied Stochastics and Nonparametric Statistics'', WIAS Berlin, May, 8, 2007.
J. Polzehl. Structural adaptive smoothing in imaging problems, Spring Seminar Series, University of Minnesota, School of Statistics, College of Liberal Arts, May, 24, 2007.
J. Polzehl. Structural adaptive smoothing methods, Gemeinsames Kolloquium des Fachbereichs Statistik und des SFB 475, Universität Dortmund, January 30, 2007.
J. Polzehl. Structural adaptive smoothing methods and related topics, Kick-off Meeting eVITA project, February 15, 2007.
J. Polzehl. Structural adaptive smoothing procedures by propagation-separation methods, Final meeting of the DFG Priority Program 1114, November 7, 2007.
J. Polzehl. Structural adaptive smoothing: Images, fMRI and DWI, Workshop on Algorithms in Complex Systems, EURANDOM, September 24, 2007.
J. Polzehl. New developments in structural adaptive smoothing: Images, fMRI and DWI, University of Tromsoe, May 27, 2008.
J. Polzehl. Smoothing fMRI and DWI data using the propagation-separation approach, University of Utah, Computing and Scientific Imaging Institute, September 11, 2008.
J. Polzehl. Structural adaptive smoothing in diffusion tensor imaging, Workshop on ``Locally Adaptive Filters in Signal and Image Processing'', EURANDOM, November 25, 2008.
J. Polzehl. Structural adaptive smoothing using the propagation-separation approach, University of Chicago, Department of Statistics, September 3, 2008.
J. Polzehl. Medical image analysis for structural and functional MRI, The R User Conference 2010, (2010 July 20-23), NIST, Gaithersburg, USA, July 20, 2010.
J. Polzehl. Statistical issues in accessing brain functionality and anatomy, The R User Conference 2010, (2010 July 20-23), NIST, Gaithersburg, USA, July 22, 2010.
J. Polzehl. Structural adaptive smoothing in neuroscience applications, Statistische Woche Nürnberg 2010, September 14-17, 2010, Friedrich-Alexander-Universität Erlangen-Nürnberg, Naturwissenschaftliche Fakultät, September 16, 2010.
K. Tabelow, J. Polzehl, V. Spokoiny. Analyzing fMRI experiments with structural adaptive smoothing methods. Proc. of the Human Brain Mapping 2006. NeuroImage 31/S1 (2006).
K. Tabelow, J. Polzehl, H.U. Voss. Increasing SNR in high resolution fMRI by spatially adaptive smoothing. Proc. of the Human Brain Mapping. NeuroImage 36/S1 (2007).
K. Tabelow, J. Polzehl, H.U. Voss. Reducing the number of necessary diffusion gradients by adaptive smoothing. Proc. of the Human Brain Mapping. NeuroImage 36/S1 (2007).
J. Polzehl, K. Tabelow. Structural adaptive smoothing in diffusion tensor imaging: The R-package dti. Proc. of the Human Brain Mapping. NeuroImage 47/S1 (2009).
K. Tabelow, H.U. Voss, J. Polzehl. Structural adaptive smoothing methods for high-resolution fRMI. Proc. of the Human Brain Mapping. NeuroImage 47/S1 (2009).
K. Tabelow, J. Polzehl, S. Mohammadi, M. Deppe. Impact of smoothing on the interpretation of FA maps. Proc. of the Human Brain Mapping 2010. NeuroImage (2010).
K. Tabelow, J. Clayden, P. Lafaye de Micheaux, J. Polzehl, V. Schmid, B. Whitcher. Image analysis and statistical inference in NeuroImaging with R. Proc. of the Human Brain Mapping 2010. NeuroImage (2010).
J. Polzehl and K. Tabelow, Structure adaptive smoothing procedures in medical imaging Poster at the "19. Treffpunkt Medizintechnik", June 1, 2005, Berlin.
K. Tabelow, J. Polzehl, and V. Spokoiny. Image and signal processing in medicine and biosciences Poster at the MATHEON evaluation, Jan. 24, 2006, Berlin.
K. Tabelow, J. Polzehl, H.U. Voss, and V. Spokoiny. Structure adaptive smoothing in statistical fMRI analysis Poster at the 214. PTB-Seminar "High-field MR imaging and spectroscopy - 3 T and beyond.", Feb 20./21., 2006, Berlin.
K. Tabelow, J. Polzehl, V. Spokoiny, L.A. Heier, and H.U. Voss. Accurate localization of brain activity in presurgical fMRI by structure adaptive smoothing. Poster at the 14th Scientific Meeting of ISMRM, Seattle 2006, presented by H.U. Voss.
K. Tabelow, J. Polzehl, H.U. Voss, V. Spokoiny. Analyzing fMRI experiments with structural adaptive smoothing methods. Poster at the Human Brain Mapping 2006, 11.-15. June 2006, Firenze (Italy).
K. Tabelow, J. Polzehl, H.U. Voss. Increasing SNR in high resolution fMRI by spatially adaptive smoothing. Poster at the Human Brain Mapping 2007, 10.-14. June 2007, Chicago (USA).
K. Tabelow, J. Polzehl, H.U. Voss. Reducing the number of necessary diffusion gradients by adaptive smoothing. Poster at the Human Brain Mapping 2007, 10.-14. June 2007, Chicago (USA).
J. Polzehl, K. Tabelow. Structural adaptive smoothing in diffusion tensor imaging: The R-package dti. Poster at the Human Brain Mapping 2009, 18.-23. June 2009, San Francisco (USA).
K. Tabelow, H.U. Voss, J. Polzehl. Structural adaptive smoothing methods for high-resolution fRMI. Poster at the Human Brain Mapping 2009, 18.-23. June 2009, San Francisco (USA).
J. Polzehl, K. Tabelow. Image and signal processing in the biomedical sciences: diffusion weighted imaging. Poster at the 1st Annual Scientific Symposium on Ultrahigh Field MR 2010, 16. April 2010, Berlin (Germany).
K. Tabelow, J. Polzehl, S. Mohammadi, M. Deppe. Impact of smoothing on the interpretation of FA maps. Poster at the Human Brain Mapping 2010, 6.-10. June 2010 (Barcelona, Spain).
K. Tabelow, J. Clayden, P. Lafaye de Micheaux, J. Polzehl, V. Schmid, B. Whitcher. Image analysis and statistical inference in NeuroImaging with R. Poster at the Human Brain Mapping 2010, 6.-10. June 2010 (Barcelona, Spain)..
K. Tabelow, H.U. Voss, J. Polzehl Structural Adaptive Smoothing Methods for fMRI and its Implementation in R Poster at the Human Brain Mapping 2011, 26.-30. June 2011 (Québec, Canada).
K. Tabelow, B. Whitcher, J. Polzehl Performing Tasks in Medical Imaging with R Poster at the Human Brain Mapping 2011, 26.-30. June 2011 (Québec, Canada).
K. Tabelow, H.U. Voss, J. Polzehl Package dti: A Framework for HARDI-Modeling in R Poster at the Human Brain Mapping 2011, 26.-30. June 2011 (Québec, Canada).
K. Tabelow, S. Keller, S. Mohammadi, H. Kugel, J.-S. Gerdes, J. Polzehl, M. Deppe Structural Adaptive Smoothing Increases Sensitivity of DTI to Detect Microstructure Alterations Poster at the Human Brain Mapping 2011, 26.-30. June 2011 (Québec, Canada).

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