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2020 – today
- 2023
[j5]Oleksii Bashkanov
, Marko Rak, Anneke Meyer, Lucas Engelage, Agron Lumiani, Rolf Muschter, Christian Hansen:
Automatic detection of prostate cancer grades and chronic prostatitis in biparametric MRI. Comput. Methods Programs Biomed. 239: 107624 (2023)- 2022
- [b1]Anneke Meyer:
Exploiting supplementary data and knowledge for improved CNN-based segmentation of prostate structures in T2-weighted MRI. University of Halle, Germany, 2022 - [j4]Gino Gulamhussene, Anneke Meyer, Marko Rak, Oleksii Bashkanov, Jazan Omari, Maciej Pech, Christian Hansen:
Predicting 4D liver MRI for MR-guided interventions. Comput. Medical Imaging Graph. 101: 102122 (2022) - [i4]Gino Gulamhussene, Anneke Meyer, Marko Rak, Oleksii Bashkanov, Jazan Omari, Maciej Pech, Christian Hansen:
Predicting 4D Liver MRI for MR-guided Interventions. CoRR abs/2202.12628 (2022) - 2021
- [j3]Anneke Meyer, Suhita Ghosh, Daniel Schindele, Martin Schostak, Sebastian Stober, Christian Hansen, Marko Rak:
Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyond. Artif. Intell. Medicine 116: 102073 (2021) - [j2]Anneke Meyer, Grzegorz Chlebus, Marko Rak, Daniel Schindele, Martin Schostak, Bram van Ginneken, Andrea Schenk, Hans Meine, Horst K. Hahn, Andreas Schreiber, Christian Hansen:
Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI. Comput. Methods Programs Biomed. 200: 105821 (2021) - [c5]Oleksii Bashkanov, Anneke Meyer, Daniel Schindele, Martin Schostak, Klaus-Dietz Tönnies, Christian Hansen, Marko Rak:
Learning Multi-Modal Volumetric Prostate Registration With Weak Inter-Subject Spatial Correspondence. ISBI 2021: 1817-1821 - [i3]Oleksii Bashkanov, Anneke Meyer, Daniel Schindele, Martin Schostak, Klaus Tönnies, Christian Hansen, Marko Rak:
Learning Multi-Modal Volumetric Prostate Registration with Weak Inter-Subject Spatial Correspondence. CoRR abs/2102.04938 (2021) - [i2]Anneke Meyer, Suhita Ghosh, Daniel Schindele, Martin Schostak, Sebastian Stober, Christian Hansen, Marko Rak:
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond. CoRR abs/2104.03840 (2021) - 2020
- [i1]Anneke Meyer, Grzegorz Chlebus, Marko Rak, Daniel Schindele, Martin Schostak, Bram van Ginneken, Andrea Schenk, Hans Meine, Horst K. Hahn, Andreas Schreiber, Christian Hansen:
Anisotropic 3D Multi-Stream CNN for Accurate Prostate Segmentation from Multi-Planar MRI. CoRR abs/2009.11120 (2020)
2010 – 2019
- 2019
- [j1]Marko Rak, Johannes Steffen, Anneke Meyer, Christian Hansen, Klaus-Dietz Tönnies:
Combining convolutional neural networks and star convex cuts for fast whole spine vertebra segmentation in MRI. Comput. Methods Programs Biomed. 177: 47-56 (2019) - [c4]Anneke Meyer, Marko Rak, Daniel Schindele, Simon Blaschke, Martin Schostak, Andriy Fedorov, Christian Hansen:
Towards Patient-Individual PI-Rads v2 Sector Map: Cnn for Automatic Segmentation of Prostatic Zones From T2-Weighted MRI. ISBI 2019: 696-700 - 2018
- [c3]Anneke Meyer, Alireza Mehrtash, Marko Rak, Daniel Schindele, Martin Schostak, Clare M. Tempany, Tina Kapur, Purang Abolmaesumi, Andriy Fedorov, Christian Hansen:
Automatic high resolution segmentation of the prostate from multi-planar MRI. ISBI 2018: 177-181 - 2014
- [c2]Anneke Meyer:
Multi-atlas Based Segmentation of Corpus Callosum on MRIs of Multiple Sclerosis Patients. GCPR 2014: 729-735 - 2013
- [c1]Jana Fruth, Marcel Beskau, Matthias Volk, Anneke Meyer, Robin Richter, Jana Dittmann:
Erster Konzeptansatz von Sicherheitstypen: Sicherheitsbewusstsein von Kindern und Jugendlichen im Umgang mit dem Internet. GI-Jahrestagung 2013: 2000-2014
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