Johannes Schwab
Johannes Schwab
Postdoc at MRC Laboratory of Molecular Biology
Bestätigte E-Mail-Adresse bei mrc-lmb.cam.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
Deep learning for photoacoustic tomography from sparse data
S Antholzer, M Haltmeier, J Schwab
Inverse problems in science and engineering 27 (7), 987-1005, 2019
1772019
NETT: Solving inverse problems with deep neural networks
H Li, J Schwab, S Antholzer, M Haltmeier
Inverse Problems 36 (6), 065005, 2020
962020
Deep null space learning for inverse problems: convergence analysis and rates
J Schwab, S Antholzer, M Haltmeier
Inverse Problems 35 (2), 025008, 2019
492019
Real-time photoacoustic projection imaging using deep learning
J Schwab, S Antholzer, R Nuster, M Haltmeier
arXiv preprint arXiv:1801.06693, 2018
38*2018
Photoacoustic image reconstruction via deep learning
S Antholzer, M Haltmeier, R Nuster, J Schwab
Photons Plus Ultrasound: Imaging and Sensing 2018 10494, 104944U, 2018
352018
NETT regularization for compressed sensing photoacoustic tomography
S Antholzer, J Schwab, J Bauer-Marschallinger, P Burgholzer, ...
Photons Plus Ultrasound: Imaging and Sensing 2019 10878, 108783B, 2019
222019
Deep learning of truncated singular values for limited view photoacoustic tomography
J Schwab, S Antholzer, R Nuster, G Paltauf, M Haltmeier
Photons Plus Ultrasound: Imaging and Sensing 2019 10878, 1087836, 2019
162019
A Galerkin least squares approach for photoacoustic tomography
J Schwab, S Pereverzyev Jr, M Haltmeier
SIAM Journal on Numerical Analysis 56 (1), 160-184, 2018
152018
Deep Learning Versus -Minimization for Compressed Sensing Photoacoustic Tomography
S Antholzer, J Schwab, M Haltmeier
2018 IEEE International Ultrasonics Symposium (IUS), 206-212, 2018
132018
Learned backprojection for sparse and limited view photoacoustic tomography
J Schwab, S Antholzer, M Haltmeier
Photons Plus Ultrasound: Imaging and Sensing 2019 10878, 1087837, 2019
112019
Big in Japan: Regularizing networks for solving inverse problems
J Schwab, S Antholzer, M Haltmeier
Journal of mathematical imaging and vision 62 (3), 445-455, 2020
92020
Sparse synthesis regularization with deep neural networks
D Obmann, J Schwab, M Haltmeier
2019 13th International conference on Sampling Theory and Applications …, 2019
62019
Deep synthesis network for regularizing inverse problems
D Obmann, J Schwab, M Haltmeier
Inverse Problems 37 (1), 015005, 2020
4*2020
Sparse aNETT for Solving Inverse Problems with Deep Learning
D Obmann, L Nguyen, J Schwab, M Haltmeier
2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI …, 2020
2*2020
Deep Learning for Image Reconstruction
M Haltmeier, S Antholzer, J Schwab
World Scientific, 2019
22019
Augmented NETT regularization of inverse problems
D Obmann, L Nguyen, J Schwab, M Haltmeier
Journal of Physics Communications, 2021
12021
Data-consistent neural networks for solving nonlinear inverse problems
YE Boink, M Haltmeier, S Holman, J Schwab
arXiv preprint arXiv:2003.11253, 2020
12020
Regularization of Inverse Problems by Deep Learning
J Schwab
2020
Regularization of Inverse Problems by Filtered Diagonal Frame Decomposition
A Ebner, J Frikel, D Lorenz, J Schwab, M Haltmeier
arXiv preprint arXiv:2008.06219, 2020
2020
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–19