1 citations · 2 across the 3 of their papers we have counts for
3 papers
Three-dimensional Bone Image Synthesis with Generative Adversarial Networks
Christoph Angermann, Johannes Bereiter-Payr, Kerstin Stock +2
Medical image processing has been highlighted as an area where deep learning-based models have the greatest potential. However, in the medical field in particular, problems of data…
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction
Christoph Angermann, Simon Göppel, Markus Haltmeier
Reconstructing an image from noisy and incomplete measurements is a central task in several image processing applications. In recent years, state-of-the-art reconstruction methods…
Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks
Christoph Angermann, Markus Haltmeier, Ahsan Raza Siyal
Unsupervised image transfer enables intra- and inter-modality image translation in applications where a large amount of paired training data is not abundant. To ensure a structure-…