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Unpaired Single-Image Depth Synthesis with cycle-consistent Wasserstein GANs


Mar 31, 2021
Christoph Angermann, Adéla Moravová, Markus Haltmeier, Steinbjörn Jónsson, Christian Laubichler

* submitted to the International Conference on Computer Vision (ICCV) 2021 

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Machine Learning for Nondestructive Wear Assessment in Large Internal Combustion Engines


Mar 15, 2021
Christoph Angermann, Steinbjörn Jónsson, Markus Haltmeier, Adéla Moravová, Christian Laubichler, Constantin Kiesling, Martin Kober, Wolfgang Fimml


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An End-To-End-Trainable Iterative Network Architecture for Accelerated Radial Multi-Coil 2D Cine MR Image Reconstruction


Feb 01, 2021
Andreas Kofler, Markus Haltmeier, Tobias Schaeffter, Christoph Kolbitsch


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PiNet: Deep Structure Learning using Feature Extraction in Trained Projection Space


Sep 01, 2020
Christoph Angermann, Markus Haltmeier


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Regularization of Inverse Problems by Neural Networks


Jun 06, 2020
Markus Haltmeier, Linh V. Nguyen


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Sparse aNETT for Solving Inverse Problems with Deep Learning


Apr 20, 2020
Daniel Obmann, Linh Nguyen, Johannes Schwab, Markus Haltmeier

* The original proceeding is part of the ISBI 2020 and only contains 4 pages due to page restrictions 

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Unsupervised Adaptive Neural Network Regularization for Accelerated Radial Cine MRI


Feb 10, 2020
Andreas Kofler, Marc Dewey, Tobias Schaeffter, Christoph Kolbitsch, Markus Haltmeier


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Deep synthesis regularization of inverse problems


Feb 01, 2020
Daniel Obmann, Johannes Schwab, Markus Haltmeier

* Submitted to IEEE Trans. Image Processing 

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Neural Networks-based Regularization for Large-Scale Medical Image Reconstruction


Jan 22, 2020
Andreas Kofler, Markus Haltmeier, Tobias Schaeffter, Marc Kachelrieß, Marc Dewey, Christian Wald, Christoph Kolbitsch


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Neural Networks-based Regularization of Large-Scale Inverse Problems in Medical Imaging


Dec 19, 2019
Andreas Kofler, Markus Haltmeier, Tobias Schaeffter, Marc Kachelrieß, Marc Dewey, Christian Wald, Christoph Kolbitsch


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Random 2.5D U-net for Fully 3D Segmentation


Oct 23, 2019
Christoph Angermann, Markus Haltmeier

* Submission for joint MICCAI-Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT) 2019 

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Sparse $\ell^q$-regularization of inverse problems with deep learning


Aug 08, 2019
Markus Haltmeier, Linh Nguyen, Daniel Obmann, Johannes Schwab


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A Joint Deep Learning Approach for Automated Liver and Tumor Segmentation


Feb 21, 2019
Nadja Gruber, Stephan Antholzer, Werner Jaschke, Christian Kremser, Markus Haltmeier


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Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation


Feb 01, 2019
Christoph Angermann, Markus Haltmeier, Ruth Steiger, Sergiy Pereverzyev Jr, Elke Gizewski


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Image Based Fashion Product Recommendation with Deep Learning


Jul 17, 2018
Hessel Tuinhof, Clemens Pirker, Markus Haltmeier


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NETT: Solving Inverse Problems with Deep Neural Networks


Feb 28, 2018
Housen Li, Johannes Schwab, Stephan Antholzer, Markus Haltmeier


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