10 citations
2 papers
cs.CV2017★ 10 cited
SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks
Patrick Ferdinand Christ, Florian Ettlinger, Georgios Kaissis +7
Automatic non-invasive assessment of hepatocellular carcinoma (HCC) malignancy has the potential to substantially enhance tumor treatment strategies for HCC patients. In this work…
stat.ME2016
Flexible Bayesian additive joint models with an application to type 1 diabetes research
Meike Köhler, Nikolaus Umlauf, Andreas Beyerlein +3
The joint modeling of longitudinal and time-to-event data is an important tool of growing popularity to gain insights into the association between a biomarker and an event process.…