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2020 – today
- 2023
[j4]Christoph Angermann
, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson, Matthias Schwab, Adéla Moravová, Constantin Kiesling, Martin Kober, Wolfgang Fimml:
Surface topography characterization using a simple optical device and artificial neural networks. Eng. Appl. Artif. Intell. 123(Part B): 106337 (2023)- [j3]Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson:
Unsupervised single-shot depth estimation using perceptual reconstruction. Mach. Vis. Appl. 34(5): 82 (2023) - [j2]Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson:
Correction: Unsupervised single-shot depth estimation using perceptual reconstruction. Mach. Vis. Appl. 34(6): 119 (2023) - [i8]Christoph Angermann, Simon Göppel, Markus Haltmeier:
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction. CoRR abs/2304.06955 (2023) - [i7]Christoph Angermann, Johannes Bereiter-Payr, Kerstin Stock, Markus Haltmeier, Gerald Degenhart:
Three-dimensional Bone Image Synthesis with Generative Adversarial Networks. CoRR abs/2310.17216 (2023) - 2022
- [c2]Christoph Angermann, Markus Haltmeier, Ahsan Raza Siyal:
Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks. ECCV Workshops (8) 2022: 61-77 - [i6]Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson:
Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction. CoRR abs/2201.12170 (2022) - [i5]Christoph Angermann, Markus Haltmeier, Ahsan Raza Siyal:
Unsupervised Joint Image Transfer and Uncertainty Quantification using Patch Invariant Networks. CoRR abs/2207.04325 (2022) - 2021
- [j1]Christoph Angermann, Markus Haltmeier:
Deep structure learning using feature extraction in trained projection space. Comput. Electr. Eng. 92: 107097 (2021) - [i4]Christoph Angermann, Steinbjörn Jónsson, Markus Haltmeier, Adéla Moravová, Christian Laubichler, Constantin Kiesling, Martin Kober, Wolfgang Fimml:
Machine Learning for Nondestructive Wear Assessment in Large Internal Combustion Engines. CoRR abs/2103.08482 (2021) - 2020
- [i3]Christoph Angermann, Markus Haltmeier:
PiNet: Deep Structure Learning using Feature Extraction in Trained Projection Space. CoRR abs/2009.00378 (2020)
2010 – 2019
- 2019
- [c1]Christoph Angermann, Markus Haltmeier:
Random 2.5D U-net for Fully 3D Segmentation. MLMECH/CVII-STENT@MICCAI 2019: 158-166 - [i2]Christoph Angermann, Markus Haltmeier, Ruth Steiger, Sergiy Pereverzyev Jr., Elke Ruth Gizewski:
Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation. CoRR abs/1902.00347 (2019) - [i1]Christoph Angermann, Markus Haltmeier:
Random 2.5D U-net for Fully 3D Segmentation. CoRR abs/1910.10398 (2019)
Coauthor Index
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