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eess.IV2023
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…
eess.IV2020★ 1 cited
Deep Structure Learning using Feature Extraction in Trained Projection Space
Christoph Angermann, Markus Haltmeier
Over the last decade of machine learning, convolutional neural networks have been the most striking successes for feature extraction of rich sensory and high-dimensional data. Whil…