Christoph Angermann

16 papers Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2024 — conf
ENGinnSAND: A Reference Dataset for Monocular Depth Prediction of Line Structures.
LOD (2)
Hubert Bottesch, Christoph Angermann, Christian Laubichler, Constantin Kiesling, Markus Haltmeier
2024 J jnl
Three-Dimensional Bone-Image Synthesis with Generative Adversarial Networks.
J. Imaging
Christoph Angermann, Johannes Bereiter-Payr, Kerstin Stock, Gerald Degenhart, Markus Haltmeier
2023 J jnl
Correction: Unsupervised single-shot depth estimation using perceptual reconstruction.
Mach. Vis. Appl.
Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson
2023 J jnl
Surface topography characterization using a simple optical device and artificial neural networks.
Eng. Appl. Artif. Intell.
Christoph Angermann, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson, Matthias Schwab, Adéla Moravová, Constantin Kiesling, Martin Kober, Wolfgang Fimml
2023 J jnl
Three-dimensional Bone Image Synthesis with Generative Adversarial Networks.
CoRR
Christoph Angermann, Johannes Bereiter-Payr, Kerstin Stock, Markus Haltmeier, Gerald Degenhart
2023 J jnl
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction.
CoRR
Christoph Angermann, Simon Göppel, Markus Haltmeier
2023 J jnl
Unsupervised single-shot depth estimation using perceptual reconstruction.
Mach. Vis. Appl.
Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson
2022 — conf
Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks.
ECCV Workshops (8)
Christoph Angermann, Markus Haltmeier, Ahsan Raza Siyal
2022 J jnl
Unsupervised Joint Image Transfer and Uncertainty Quantification using Patch Invariant Networks.
CoRR
Christoph Angermann, Markus Haltmeier, Ahsan Raza Siyal
2022 J jnl
Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction.
CoRR
Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson
2021 J jnl
Deep structure learning using feature extraction in trained projection space.
Comput. Electr. Eng.
Christoph Angermann, Markus Haltmeier
2021 J jnl
Machine Learning for Nondestructive Wear Assessment in Large Internal Combustion Engines.
CoRR
Christoph Angermann, Steinbjörn Jónsson, Markus Haltmeier, Adéla Moravová, Christian Laubichler, Constantin Kiesling, Martin Kober, Wolfgang Fimml
2020 J jnl
PiNet: Deep Structure Learning using Feature Extraction in Trained Projection Space.
CoRR
Christoph Angermann, Markus Haltmeier
2019 J jnl
Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation.
CoRR
Christoph Angermann, Markus Haltmeier, Ruth Steiger, Sergiy Pereverzyev Jr., Elke Ruth Gizewski
2019 — conf
Random 2.5D U-net for Fully 3D Segmentation.
MLMECH/CVII-STENT@MICCAI
Christoph Angermann, Markus Haltmeier
2019 J jnl
Random 2.5D U-net for Fully 3D Segmentation.
CoRR
Christoph Angermann, Markus Haltmeier