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Antholzer, Stephan
75  Ergebnisse:
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1

Correction to: Hybrid Immediacy: Designing with Artificial ..:

, In: Towards Radical Regeneration,
Bank, Mathias ; Sandor, Viktoria ; Kraft, Robby... - p. C1-C1 , 2024
Link: https://doi.org/10.1007/..
 
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2

Hybrid Immediacy: Designing with Artificial Neural Networks..:

, In: Towards Radical Regeneration,
Bank, Mathias ; Sandor, Viktoria ; Kraft, Robby... - p. 13-23 , 2022
Link: https://doi.org/10.1007/..
 
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3

Discretization of Learned NETT Regularization for Solving I..:

Antholzer, Stephan ; Haltmeier, Markus
Journal of Imaging.  7 (2021)  11 - p. 239 , 2021
Link: https://doi.org/10.3390/..
 
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4

NETT: solving inverse problems with deep neural networks:

Li, Housen ; Schwab, Johannes ; Antholzer, Stephan.
Inverse Problems.  36 (2020)  6 - p. 065005 , 2020
Link: https://doi.org/10.1088/..
 
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5

A Joint Deep Learning Approach for Automated Liver and Tumo..:

, In: 2019 13th International conference on Sampling Theory and Applications (SampTA),
Gruber, Nadja ; Antholzer, Stephan ; Jaschke, Werner.. - p. 1-5 , 2019
Link: https://doi.org/10.1109/..
 
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6

Deep null space learning for inverse problems: convergence ..:

Schwab, Johannes ; Antholzer, Stephan ; Haltmeier, Markus
Inverse Problems.  35 (2019)  2 - p. 025008 , 2019
Link: https://doi.org/10.1088/..
 
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7

Big in Japan: Regularizing Networks for Solving Inverse Pro..:

Schwab, Johannes ; Antholzer, Stephan ; Haltmeier, Markus
Journal of Mathematical Imaging and Vision.  62 (2019)  3 - p. 445-455 , 2019
Link: https://doi.org/10.1007/..
 
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8

Compressive time-of-flight 3D imaging using block-structure..:

Antholzer, Stephan ; Wolf, Christoph ; Sandbichler, Michael..
Inverse Problems.  35 (2019)  4 - p. 045004 , 2019
Link: https://doi.org/10.1088/..
 
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9

Deep learning for photoacoustic tomography from sparse data:

Antholzer, Stephan ; Haltmeier, Markus ; Schwab, Johannes
Inverse Problems in Science and Engineering.  27 (2018)  7 - p. 987-1005 , 2018
Link: https://doi.org/10.1080/..
 
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10

Cluster-Based Autoencoders for Volumetric Point Clouds:

Antholzer, Stephan ; Berger, Martin ; Hell, Tobias
http://arxiv.org/abs/2211.01009.  , 2022
Link: http://arxiv.org/abs/221..
 
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11

NETT: solving inverse problems with deep neural networks:

Li, Housen ; Schwab, Johannes ; Antholzer, Stephan.
EXC 2067: Multiscale Bioimaging.  , 2020
Link: https://resolver.sub.uni..
 
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12

Discretization of learned NETT regularization for solving i..:

Antholzer, Stephan ; Haltmeier, Markus
http://arxiv.org/abs/2011.03627.  , 2020
Link: http://arxiv.org/abs/201..
 
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13

Deep learning versus $\ell^1$-minimization for compressed s..:

Antholzer, Stephan ; Schwab, Johannes ; Haltmeier, Markus
http://arxiv.org/abs/1901.06510.  , 2019
Link: http://arxiv.org/abs/190..
 
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14

Photoacoustic image reconstruction via deep learning:

Antholzer, Stephan ; Schwab, Johannes ; Nuster, Robert.
http://arxiv.org/abs/1901.06506.  , 2019
Link: http://arxiv.org/abs/190..
 
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15

Deep Learning of truncated singular values for limited view..:

Schwab, Johannes ; Antholzer, Stephan ; Nuster, Robert..
http://arxiv.org/abs/1901.06498.  , 2019
Link: http://arxiv.org/abs/190..
 
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