Guozhi Dong
Guozhi Dong
Humboldt University of Berlin
Email verificata su wias-berlin.de
Titolo
Citata da
Citata da
Anno
Efficiency analysis of European Freight Villages: three peers for benchmarking
C Yang, A Taudes, G Dong
Central European Journal of Operations Research 25 (1), 91-122, 2017
92017
Infinite dimensional optimization models and pdes for dejittering
G Dong, AR Patrone, O Scherzer, O Öktem
International Conference on Scale Space and Variational Methods in Computer …, 2015
92015
Quantitative magnetic resonance imaging: From fingerprinting to integrated physics-based models
G Dong, M Hintermüller, K Papafitsoros
SIAM Journal on Imaging Sciences 12 (2), 927-971, 2019
62019
Convergence rates of first and higher order dynamics for solving linear ill-posed problems
R Boţ, G Dong, P Elbau, O Scherzer
arXiv preprint arXiv:1812.09343, 2018
52018
Convergence of Tikhonov regularization for solving ill-posed operator equations with solutions defined on surfaces
G Dong, B Jüttler, O Scherzer, T Takacs
Inverse Problems and Imaging, 2017, 11(2): 221-246., 2017
42017
Parametric polynomial preserving recovery on manifolds
G Dong, H Guo
SIAM Journal on Scientific Computing, https://doi.org/10.1137/18M1191336, 2020
22020
Nonlinear flows for displacement correction and applications in tomography
G Dong, O Scherzer
International Conference on Scale Space and Variational Methods in Computer …, 2017
22017
Optimization with learning-informed differential equation constraints and its applications
G Dong, M Hintermüller, K Papafitsoros
https://arxiv.org/abs/2008.10893, 2020
2020
Geometric supercloseness on deviated discretized manifolds
G Dong, H Guo
arXiv preprint arXiv:1910.14093, 2019
2019
A class of second-order geometric quasilinear hyperbolic PDEs and their application in imaging science
G Dong, M Hintermüller, Y Zhang
arXiv preprint arXiv:1905.01457, 2019
2019
A physically oriented method for quantitative magnetic resonance imaging
G Dong, M Hintermüller, K Papafitsoros
Berlin: Weierstraß-Institut für Angewandte Analysis und Stochastik, 2018
2018
Regularization and imaging methods for solving inverse problems with solutions on surfaces
G Dong
uniwien, 2017
2017
Regularization in Ambient Space for Recovering Tangential Vector Fields
G Dong, T Takacs, B Jüttler, O Scherzer
arXiv preprint arXiv:1510.07028, 2015
2015
Scale and Edge Detection with Topological Derivatives
G Dong, M Grasmair, SH Kang, O Scherzer
International Conference on Scale Space and Variational Methods in Computer …, 2013
2013
für Angewandte Analysis und Stochastik
V John, P Knobloch, SB Savescu
SFB Tomography Across the Scales
R Boţ, G Dong, P Elbau, O Scherzer
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–16