Daniel Tenbrinck
Daniel Tenbrinck
Lehrstuhl für Angewandte Mathematik (Modellierung und Numerik), FAU Erlangen-Nürnberg
Vahvistettu sähköpostiosoite verkkotunnuksessa fau.de - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
On the p-Laplacian and ∞-Laplacian on Graphs with Applications in Image and Data Processing
A Elmoataz, M Toutain, D Tenbrinck
SIAM Journal on Imaging Sciences 8 (4), 2412-2451, 2015
742015
On the p-Laplacian and ∞-Laplacian on Graphs with Applications in Image and Data Processing
A Elmoataz, M Toutain, D Tenbrinck
SIAM Journal on Imaging Sciences 8 (4), 2412-2451, 2015
742015
A variational framework for region-based segmentation incorporating physical noise models
A Sawatzky, D Tenbrinck, X Jiang, M Burger
Journal of Mathematical Imaging and Vision 47 (3), 179-209, 2013
472013
Histogram-based optical flow for motion estimation in ultrasound imaging
D Tenbrinck, S Schmid, X Jiang, K Schäfers, J Stypmann
Journal of mathematical imaging and vision 47 (1), 138-150, 2013
202013
A Graph Framework for Manifold-valued Data
R Bergmann, D Tenbrinck
SIAM Journal on Imaging Sciences 11 (1), 325-360, 2018
192018
Image segmentation with arbitrary noise models by solving minimal surface problems
D Tenbrinck, X Jiang
Pattern Recognition 48 (11), 3293-3309, 2015
172015
Impact of Physical Noise Modeling on Image Segmentation in Echocardiography.
D Tenbrinck, A Sawatzky, X Jiang, M Burger, W Haffner, P Willems, ...
VCBM, 33-40, 2012
132012
Solving minimal surface problems on surfaces and point clouds
D Tenbrinck, F Lozes, A Elmoataz
International Conference on Scale Space and Variational Methods in Computer …, 2015
82015
Discriminant analysis based level set segmentation for ultrasound imaging
D Tenbrinck, X Jiang
International Conference on Computer Analysis of Images and Patterns, 144-151, 2013
82013
Computing nonlinear eigenfunctions via gradient flow extinction
L Bungert, M Burger, D Tenbrinck
International Conference on Scale Space and Variational Methods in Computer …, 2019
72019
Variational Graph Methods for Efficient Point Cloud Sparsification
D Tenbrinck, F Gaede, M Burger
arXiv preprint arXiv:1903.02858, 2019
62019
Nonlocal Inpainting of Manifold-valued Data on Finite Weighted Graphs
R Bergmann, D Tenbrinck
International Conference on Geometric Science of Information, 604-612, 2017
62017
Automatic classification of left ventricular wall segments in small animal ultrasound imaging
K Ungru, D Tenbrinck, X Jiang, J Stypmann
Computer methods and programs in biomedicine 117 (1), 2-12, 2014
62014
Region based contour detection by dynamic programming
X Jiang, D Tenbrinck
International Conference on Computer Analysis of Images and Patterns, 152-159, 2013
62013
Variational Methods for Medical Ultrasound Imaging
D Tenbrinck
62013
Biomedical imaging: a computer vision perspective
X Jiang, M Dawood, F Gigengack, B Risse, S Schmid, D Tenbrinck, ...
International Conference on Computer Analysis of Images and Patterns, 1-19, 2013
52013
Fenchel duality theory and a primal-dual algorithm on Riemannian manifolds
R Bergmann, R Herzog, MS Louzeiro, D Tenbrinck, J Vidal-Núñez
Foundations of Computational Mathematics, 1-40, 2021
4*2021
Mathematical methods in biomedical imaging
M Burger, J Modersitzki, D Tenbrinck
GAMM‐Mitteilungen 37 (2), 154-183, 2014
42014
Motion correction in Positron Emission Tomography considering Partial Volume Effects in optical flow estimation
D Tenbrinck, M Dawood, F Gigengack, M Fieseler, X Jiang, K Schäfers
2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2010
42010
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis
L Schwinn, A Nguyen, R Raab, L Bungert, D Tenbrinck, D Zanca, ...
arXiv preprint arXiv:2102.12196, 2021
32021
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Artikkelit 1–20