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Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond


Apr 08, 2021
Anneke Meyer, Suhita Ghosh, Daniel Schindele, Martin Schostak, Sebastian Stober, Christian Hansen, Marko Rak

* Accepted manuscript in Elsevier Artificial Intelligence in Medicine. Anneke Meyer and Suhita Ghosh contributed equally 

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Learning Multi-Modal Volumetric Prostate Registration with Weak Inter-Subject Spatial Correspondence


Feb 09, 2021
Oleksii Bashkanov, Anneke Meyer, Daniel Schindele, Martin Schostak, Klaus Tönnies, Christian Hansen, Marko Rak


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Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI


Sep 23, 2020
Anneke Meyer, Grzegorz Chlebus, Marko Rak, Daniel Schindele, Martin Schostak, Bram van Ginneken, Andrea Schenk, Hans Meine, Horst K. Hahn, Andreas Schreiber, Christian Hansen

* Submitted to Elsevier Computer Methods and Programs in Biomedicine. Anneke Meyer and Grzegorz Chlebus contributed equally to this work. Sourcecode and data available at https://github.com/AnnekeMeyer/AnisotropicMultiStreamCNN 

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