Freddie Åström
Freddie Åström
Verifierad e-postadress på iwr.uni-heidelberg.de
TitelCiteras avÅr
A parallel neural network approach to prediction of Parkinson’s Disease
F Åström, R Koker
Expert Systems with Applications 38 (10), 12470-12474, 2011
772011
Image labeling by assignment
F Åström, S Petra, B Schmitzer, C Schnörr
Journal of Mathematical Imaging and Vision 58 (2), 211-238, 2017
242017
On tensor-based PDEs and their corresponding variational formulations with application to color image denoising
F Åström, G Baravdish, M Felsberg
European Conference on Computer Vision, 215-228, 2012
122012
Color persistent anisotropic diffusion of images
F Åström, M Felsberg, R Lenz
Scandinavian Conference on Image Analysis, 262-272, 2011
102011
On Backward p(x)-Parabolic Equations for Image Enhancement
G Baravdish, O Svensson, F Åström
Numerical Functional Analysis and Optimization 36 (2), 147-168, 2015
92015
A tensor variational formulation of gradient energy total variation
F Åström, G Baravdish, M Felsberg
International Workshop on Energy Minimization Methods in Computer Vision and …, 2015
92015
Targeted iterative filtering
F Åström, M Felsberg, G Baravdish, C Lundström
International Conference on Scale Space and Variational Methods in Computer …, 2013
52013
Image labeling based on graphical models using Wasserstein messages and geometric assignment
R Hühnerbein, F Savarino, F Åström, C Schnörr
SIAM Journal on Imaging Sciences 11 (2), 1317-1362, 2018
42018
On coupled regularization for non-convex variational image enhancement
F Åström, C Schnorr
2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 786-790, 2015
42015
Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment
A Zern, M Zisler, F Åström, S Petra, C Schnörr
German Conference on Pattern Recognition, 698-713, 2018
32018
Numerical integration of Riemannian gradient flows for image labeling
F Savarino, R Hühnerbein, F Åström, J Recknagel, C Schnörr
International Conference on Scale Space and Variational Methods in Computer …, 2017
32017
Mapping-based image diffusion
F Åström, M Felsberg, G Baravdish
Journal of Mathematical Imaging and Vision 57 (3), 293-323, 2017
32017
Source localization of reaction-diffusion models for brain tumors
R Jaroudi, G Baravdish, F Åström, BT Johansson
German Conference on Pattern Recognition, 414-425, 2016
32016
Variational Tensor-Based Models for Image Diffusion in Non-Linear Domains
F Åström
Linköping University Electronic Press, 2015
32015
Numerical reconstruction of brain tumours
R Jaroudi, G Baravdish, BT Johansson, F Åström
Inverse Problems in Science and Engineering 27 (3), 278-298, 2019
22019
MAP image labeling using Wasserstein messages and geometric assignment
F Åström, R Hühnerbein, F Savarino, J Recknagel, C Schnörr
International Conference on Scale Space and Variational Methods in Computer …, 2017
22017
Graphical model parameter learning by inverse linear programming
V Trajkovska, P Swoboda, F Åström, S Petra
International Conference on Scale Space and Variational Methods in Computer …, 2017
22017
Color image regularization via channel mixing and half quadratic minimization
F Åström
2016 IEEE International Conference on Image Processing (ICIP), 4007-4011, 2016
22016
On the choice of tensor estimation for corner detection, optical flow and denoising
F Åström, M Felsberg
Asian Conference on Computer Vision, 16-30, 2014
22014
Using channel representations in regularization terms a case study on image diffusion
C Heinemann, F Åstöm, G Baravdish, K Krajsek, M Felsberg, H Scharr
2014 International Conference on Computer Vision Theory and Applications …, 2014
22014
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Artiklar 1–20