58 citations
- Technical University of MunichDE14 papers
- Imperial College LondonGB8 papers
- Helmholtz MunichDE3 papers
- Ludwig-Maximilians-Universität MünchenDE2 papers
- The University of Texas MD Anderson Cancer CenterUS2 papers
- University of EdinburghGB2 papers
- Aarhus UniversityDK1 paper
- Aarhus University HospitalDK1 paper
- Cancer Research UK Cambridge CenterGB1 paper
- Christian-Albrechts-Universität zu KielDE1 paper
- German Cancer Research CenterDE1 paper
- German Centre for Cardiovascular ResearchDE1 paper
Showing cs.CVShow all
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cs.CV2021★ 2 cited
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
Chen Chen, Kerstin Hammernik, Cheng Ouyang +3
Deep learning-based segmentation methods are vulnerable to unforeseen data distribution shifts during deployment, e.g. change of image appearances or contrasts caused by different…
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…