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 Imaging with Modulated/Incomplete Data 2010
SFB Workshop 




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Abstracts of the Workshop

  • Andy Adler, Regularized temporal ensemble averaging for EIT, [pdf]
  • Simon Arridge, Sampling and Reconstruction in Fluorescence Diffuse Optical Tomgraphy, [pdf]
  • Roland Bammer, Acquisition and Reconstruction Methods for in-vivo Diffusion Tensor Magnetic Resonance Imaging, [pdf]
  • Tobias Block, Iterative Reconstruction Concepts for Magnetic Resonance Imaging, [pdf]
  • Raymond Chan, A Unified Tight-frame Approach for Missing Data Recovery in Images, [pdf]
  • Oliver Dorn, A level set method for structural inversion in medical, [pdf]
  • Huw Griffiths, Medical imaging by megnetic induction tomography: present limitations, [pdf]
  • Scott Hoge, On the Use of Complementary Encoding Techniques to Improve MR Imaging, [pdf]
  • Ulrich Katscher, Mathematical challenges and new developments in parallel transmit techniques, [pdf]
  • Zhi-Pei Liang, Image Reconstruction from Undersampled Data with Sparsity and Rank Constraints, [pdf]
  • Mila Nikolova, Fast dejittering for digital video frames using local nonsmooth and non-convex functionals, [pdf]
  • Tobias Preusser, Image processing under gray value uncertainty, [pdf]
  • Klaas Prüssmann, MRI beyond Fourier encoding: From array detection to higher-order field dynamics , [pdf]
  • Christoph Schnörr, Fast and Exact Primal-Dual Iteration for Relaxed Variational Problems in Computer Vision, [pdf]
  • Gerrit Schultz, PatLoc: MR Imaging with Non-bijective and Curvilinear Magnetic Encoding Fields, [pdf]
  • Joachim Weickert, Image reconstruction from incomplete data with the laplace equation, [pdf]
  • Wotao Yin, Fast Algorithms for Compressive Sensing/Imaging based on Splitting, [pdf]


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