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Christoph Angermann
Christoph Angermann
Postdoc
Verified email at risto.ph - Homepage
Title
Cited by
Cited by
Year
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images
A Sekuboyina, ME Husseini, A Bayat, M Löffler, H Liebl, H Li, G Tetteh, ...
Medical image analysis 73, 102166, 2021
1942021
Random 2.5 d u-net for fully 3d segmentation
C Angermann, M Haltmeier
Machine Learning and Medical Engineering for Cardiovascular Health and …, 2019
172019
Projection-based 2.5 d u-net architecture for fast volumetric segmentation
C Angermann, M Haltmeier, R Steiger, S Pereverzyev, E Gizewski
2019 13th International conference on Sampling Theory and Applications …, 2019
152019
Surface topography characterization using a simple optical device and artificial neural networks
C Angermann, M Haltmeier, C Laubichler, S Jónsson, M Schwab, ...
Engineering Applications of Artificial Intelligence 123, 106337, 2023
72023
Deep structure learning using feature extraction in trained projection space
C Angermann, M Haltmeier
Computers & electrical engineering 92, 107097, 2021
62021
Unsupervised single-shot depth estimation using perceptual reconstruction
C Angermann, M Schwab, M Haltmeier, C Laubichler, S Jónsson
Machine Vision and Applications 34 (5), 82, 2023
52023
Unsupervised joint image transfer and uncertainty quantification using patch invariant networks
C Angermann, M Haltmeier, AR Siyal
European Conference on Computer Vision, 61-77, 2022
42022
Quantitative cylinder liner wear assessment in large internal combustion engines using handheld optical measurement devices and deep learning
C Laubichler, C Kiesling, M Kober, A Wimmer, C Angermann, M Haltmeier, ...
18th Symposium Sustainable Mobility, Transport and Power Generation, 217-231, 2021
32021
Deep Learning for Surface Assessment of Cylinder Liners in Large Internal Combustion Engines
M Schwab, A Moravová, C Angermann, S Jónsson, C Laubichler, ...
Internal Combustion Engine Division Fall Technical Conference 86540, V001T01A004, 2022
22022
Deep Generative Networks for Nondestructive Cylinder Liner Inspection in Large Internal Combustion Engines
C Angermann, C Laubichler, C Kiesling, F Dreier, M Haltmeier, S Jonsson
SAE Technical Paper, 2023
12023
Computer Vision for Condition Monitoring of Cylinder Liners in Large Engines
C Laubichler, C Kiesling, C Angermann, S Jónsson
MTZ worldwide 83 (12), 48-51, 2022
12022
Three-dimensional Bone Image Synthesis with Generative Adversarial Networks
C Angermann, J Bereiter-Payr, K Stock, M Haltmeier, G Degenhart
arXiv preprint arXiv:2310.17216, 2023
2023
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction
C Angermann, S Göppel, M Haltmeier
arXiv preprint arXiv:2304.06955, 2023
2023
Computer Vision zur Zustandsüberwachung von Zylinderlaufbuchsen in Großmotoren
C Laubichler, C Kiesling, C Angermann, S Jónsson
MTZ-Motortechnische Zeitschrift 83 (12), 50-53, 2022
2022
Deep Learning in Data Annotation: Projection-based 2.5 D U-net Structure for Biomedical Volumetric Segmentation
CH Angermann
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