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of 55
pro vyhledávání: '"Brinkmann, Eva"'
We introduce a novel regulariser based on the natural vector field operations gradient, divergence, curl and shear. For suitable choices of the weighting parameters contained in our model it generalises well-known first- and second-order TV-type regu
Externí odkaz:
http://arxiv.org/abs/1802.01895
Autor:
Rasch, Julian, Kolehmainen, Ville, Nivajärvi, Riikka, Kettunen, Mikko, Gröhn, Olli, Burger, Martin, Brinkmann, Eva-Maria
The goal of dynamic magnetic resonance imaging (dynamic MRI) is to visualize tissue properties and their local changes over time that are traceable in the MR signal. We propose a new variational approach for the reconstruction of subsampled dynamic M
Externí odkaz:
http://arxiv.org/abs/1712.00099
Joint reconstruction has recently attracted a lot of attention, especially in the field of medical multi-modality imaging such as PET-MRI. Most of the developed methods rely on the comparison of image gradients, or more precisely their location, dire
Externí odkaz:
http://arxiv.org/abs/1704.06073
The aim of this paper is to introduce and study a two-step debiasing method for variational regularization. After solving the standard variational problem, the key idea is to add a consecutive debiasing step minimizing the data fidelity on an appropr
Externí odkaz:
http://arxiv.org/abs/1606.05113
This paper introduces a novel variational approach for image compression motivated by recent PDE-based approaches combining edge detection and Laplacian inpainting. The essential feature is to encode the image via a sparse vector field, ideally conce
Externí odkaz:
http://arxiv.org/abs/1503.02044
In this paper we present a novel iterative procedure for multichannel image and data reconstruction using Bregman distances. With the motivation that multiple channels sharing a common subgradient with respect to a suitable regularization implies des
Externí odkaz:
http://arxiv.org/abs/1310.3146
Autor:
Brinkmann, Eva-Maria ‡, Mattes, Benjamin §, Kumar, Rahul ‡, Hagemann, Anja I.H. §, Gradl, Dietmar ¶, Scholpp, Steffen §, Steinbeisser, Herbert ‡, Kaufmann, Lilian T. ‡, 1, Özbek, Suat ||, 2
Publikováno v:
In Journal of Biological Chemistry 24 June 2016 291(26):13730-13742
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Akademický článek
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Publikováno v:
Journal of Physics Communications; Jul2021, Vol. 5 Issue 7, p1-22, 22p