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Spherical Harmonic Residual Network for Diffusion Signal Harmonization
Simon Koppers, Luke Bloy, Jeffrey I. Berman +3
Diffusion imaging is an important method in the field of neuroscience, as it is sensitive to changes within the tissue microstructure of the human brain. However, a major challenge…
DELIMIT PyTorch - An extension for Deep Learning in Diffusion Imaging
Simon Koppers, Dorit Merhof
DELIMIT is a framework extension for deep learning in diffusion imaging, which extends the basic framework PyTorch towards spherical signals. Based on several novel layers, deep le…
Image-based Survival Analysis for Lung Cancer Patients using CNNs
Christoph Haarburger, Philippe Weitz, Oliver Rippel +1
Traditional survival models such as the Cox proportional hazards model are typically based on scalar or categorical clinical features. With the advent of increasingly large image d…
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations
Michael Gadermayr, Laxmi Gupta, Barbara M. Klinkhammer +2
Recently, generative adversarial networks exhibited excellent performances in semi-supervised image analysis scenarios. In this paper, we go even further by proposing a fully unsup…