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NETT: Solving Inverse Problems with Deep Neural Networks
Inverse Problems (IP), 2018
28 February 2018
Housen Li
Johannes Schwab
Stephan Antholzer
Markus Haltmeier
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Papers citing
"NETT: Solving Inverse Problems with Deep Neural Networks"
39 / 89 papers shown
Learning the optimal Tikhonov regularizer for inverse problems
Neural Information Processing Systems (NeurIPS), 2021
Giovanni S. Alberti
Ernesto De Vito
Matti Lassas
Luca Ratti
Matteo Santacesaria
218
40
0
11 Jun 2021
End-to-end reconstruction meets data-driven regularization for inverse problems
Neural Information Processing Systems (NeurIPS), 2021
Subhadip Mukherjee
M. Carioni
Ozan Oktem
Carola-Bibiane Schönlieb
180
46
0
07 Jun 2021
Compressed Sensing for Photoacoustic Computed Tomography Using an Untrained Neural Network
Hengrong Lan
Juze Zhang
Changchun Yang
Fei Gao
123
1
0
29 May 2021
Learning Regularization Parameters of Inverse Problems via Deep Neural Networks
Inverse Problems (IP), 2021
B. Afkham
Julianne Chung
Matthias Chung
122
56
0
14 Apr 2021
OGGN: A Novel Generalized Oracle Guided Generative Architecture for Modelling Inverse Function of Artificial Neural Networks
International Conference on Computer Vision and Image Processing (ICCVIP), 2021
Mohammad Aaftab
Mansi Sharma
120
1
0
08 Apr 2021
Adversarially learned iterative reconstruction for imaging inverse problems
Scale Space and Variational Methods in Computer Vision (SSVM), 2021
Subhadip Mukherjee
Ozan Oktem
Carola-Bibiane Schönlieb
SSL
143
8
0
30 Mar 2021
Learning to Optimize: A Primer and A Benchmark
Journal of machine learning research (JMLR), 2021
Tianlong Chen
Xiaohan Chen
Wuyang Chen
Howard Heaton
Jialin Liu
Zinan Lin
W. Yin
590
307
0
23 Mar 2021
Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms
SIAM Journal of Imaging Sciences (SIAM J. Imaging Sci.), 2021
M. Holden
Marcelo Pereyra
K. Zygalakis
MedIm
196
37
0
18 Mar 2021
Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Chen Wei
Kexin Lou
Zhengyang Wang
Mingqi Zhao
D. Mantini
Quanying Liu
196
27
0
18 Feb 2021
Plug-and-Play gradient-based denoisers applied to CT image enhancement
Pasquale Cascarano
E. L. Piccolomini
E. Morotti
Andrea Sebastiani
67
1
0
15 Feb 2021
AS-Net: Fast Photoacoustic Reconstruction with Multi-feature Fusion from Sparse Data
IEEE Transactions on Computational Imaging (IEEE Trans. Comput. Imaging), 2021
Mengjie Guo
Hengrong Lan
C. Yang
Fei Gao
220
36
0
22 Jan 2021
Convex Regularization Behind Neural Reconstruction
International Conference on Learning Representations (ICLR), 2020
Arda Sahiner
Morteza Mardani
Batu Mehmet Ozturkler
Mert Pilanci
John M. Pauly
196
25
0
09 Dec 2020
Deep-learning based discovery of partial differential equations in integral form from sparse and noisy data
Journal of Computational Physics (JCP), 2020
Hao Xu
Dongxiao Zhang
Nanzhe Wang
167
37
0
24 Nov 2020
Shared Prior Learning of Energy-Based Models for Image Reconstruction
SIAM Journal of Imaging Sciences (SIIMS), 2020
Thomas Pinetz
Erich Kobler
Thomas Pock
Alexander Effland
DiffM
196
6
0
12 Nov 2020
Solving Inverse Problems With Deep Neural Networks -- Robustness Included?
Martin Genzel
Jan Macdonald
M. März
AAML
OOD
187
130
0
09 Nov 2020
Deep learning for biomedical photoacoustic imaging: A review
J. Gröhl
Melanie Schellenberg
Kris K. Dreher
Lena Maier-Hein
339
219
0
05 Nov 2020
Towards Reflectivity profile inversion through Artificial Neural Networks
J. M. Carmona Loaiza
Zamaan Raza
89
11
0
15 Oct 2020
Deep Learning in Photoacoustic Tomography: Current approaches and future directions
Journal of Biomedical Optics (JBO), 2020
A. Hauptmann
B. Cox
230
146
0
16 Sep 2020
Learned convex regularizers for inverse problems
Subhadip Mukherjee
Sören Dittmer
Zakhar Shumaylov
Sebastian Lunz
Ozan Oktem
Carola-Bibiane Schönlieb
268
90
0
06 Aug 2020
Learnable Descent Algorithm for Nonsmooth Nonconvex Image Reconstruction
Yunmei Chen
Hongcheng Liu
X. Ye
Qingchao Zhang
527
25
0
22 Jul 2020
Total Deep Variation: A Stable Regularizer for Inverse Problems
Erich Kobler
Alexander Effland
K. Kunisch
Thomas Pock
MedIm
170
19
0
15 Jun 2020
Regularization of Inverse Problems by Neural Networks
Markus Haltmeier
Linh V. Nguyen
161
21
0
06 Jun 2020
On Learned Operator Correction in Inverse Problems
Sebastian Lunz
A. Hauptmann
T. Tarvainen
Carola-Bibiane Schönlieb
Simon Arridge
177
4
0
14 May 2020
Sparse aNETT for Solving Inverse Problems with Deep Learning
D. Obmann
Linh V. Nguyen
Johannes Schwab
Markus Haltmeier
124
8
0
20 Apr 2020
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods
Inverse Problems (IP), 2020
Daniel Otero Baguer
Johannes Leuschner
Maximilian Schmidt
290
203
0
10 Mar 2020
Deep synthesis regularization of inverse problems
D. Obmann
Johannes Schwab
Markus Haltmeier
217
12
0
01 Feb 2020
DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm
Journal of Computational Physics (JCP), 2020
Hao Xu
Haibin Chang
Dongxiao Zhang
AI4CE
193
97
0
21 Jan 2020
Total Deep Variation for Linear Inverse Problems
Computer Vision and Pattern Recognition (CVPR), 2020
Erich Kobler
Alexander Effland
K. Kunisch
Thomas Pock
262
95
0
14 Jan 2020
Deep learning architectures for nonlinear operator functions and nonlinear inverse problems
Mathematical Statistics and Learning (MSL), 2019
Maarten V. de Hoop
Matti Lassas
C. Wong
269
31
0
23 Dec 2019
Learned SVD: solving inverse problems via hybrid autoencoding
Y. Boink
Christoph Brune
129
15
0
20 Dec 2019
Neural Networks-based Regularization for Large-Scale Medical Image Reconstruction
A. Kofler
Markus Haltmeier
T. Schaeffter
M. Kachelriess
M. Dewey
Christian Wald
C. Kolbitsch
177
2
0
19 Dec 2019
Solving Bayesian Inverse Problems via Variational Autoencoders
Mathematical and Scientific Machine Learning (MSML), 2019
Hwan Goh
Sheroze Sheriffdeen
J. Wittmer
T. Bui-Thanh
BDL
606
49
0
05 Dec 2019
The LoDoPaB-CT Dataset: A Benchmark Dataset for Low-Dose CT Reconstruction Methods
Johannes Leuschner
Maximilian Schmidt
Daniel Otero Baguer
Peter Maass
205
33
0
01 Oct 2019
Augmented NETT Regularization of Inverse Problems
D. Obmann
Linh V. Nguyen
Johannes Schwab
Markus Haltmeier
249
3
0
08 Aug 2019
Multi-Scale Learned Iterative Reconstruction
IEEE Transactions on Computational Imaging (TCI), 2019
A. Hauptmann
J. Adler
Simon Arridge
Ozan Oktem
243
42
0
01 Aug 2019
DeepFlow: History Matching in the Space of Deep Generative Models
L. Mosser
O. Dubrule
M. Blunt
202
16
0
14 May 2019
Unsupervised Deep Learning Algorithm for PDE-based Forward and Inverse Problems
Leah Bar
N. Sochen
216
75
0
10 Apr 2019
An overview of deep learning in medical imaging focusing on MRI
Zeitschrift für Medizinische Physik (Z Med Phys), 2018
A. Lundervold
A. Lundervold
OOD
355
1,815
0
25 Nov 2018
Random mesh projectors for inverse problems
Sidharth Gupta
K. Kothari
Maarten V. de Hoop
Ivan Dokmanić
245
16
0
29 May 2018
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