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Florian Schmaranzer
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2020 – today
- 2022
- [j2]Adrian C. Ruckli
, Florian Schmaranzer
Automated quantification of cartilage quality for hip treatment decision support. Int. J. Comput. Assist. Radiol. Surg. 17(11): 2011-2021 (2022) - 2021
- [c3]Guodong Zeng, Till D. Lerch, Florian Schmaranzer, Guoyan Zheng, Jürgen Burger, Kate Gerber
Semantic Consistent Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation. MICCAI (3) 2021: 201-210 - 2020
- [c2]Guodong Zeng, Florian Schmaranzer, Till D. Lerch, Adam Boschung, Guoyan Zheng, Jürgen Burger, Kate Gerber
Entropy Guided Unsupervised Domain Adaptation for Cross-Center Hip Cartilage Segmentation from MRI. MICCAI (1) 2020: 447-456 - [i1]Guodong Zeng, Till D. Lerch, Florian Schmaranzer, Guoyan Zheng, Jürgen Burger, Kate Gerber, Moritz Tannast, Klaus-Arno Siebenrock, Nicolas Gerber:
ICMSC: Intra- and Cross-modality Semantic Consistency for Unsupervised Domain Adaptation on Hip Joint Bone Segmentation. CoRR abs/2012.12570 (2020)
2010 – 2019
- 2019
- [j1]Dimitrios Damopoulos
Segmentation of the proximal femur in radial MR scans using a random forest classifier and deformable model registration. Int. J. Comput. Assist. Radiol. Surg. 14(3): 545-561 (2019) - 2018
- [c1]Guodong Zeng, Qian Wang, Till D. Lerch, Florian Schmaranzer, Moritz Tannast
Latent3DU-net: Multi-level Latent Shape Space Constrained 3D U-net for Automatic Segmentation of the Proximal Femur from Radial MRI of the Hip. MLMI@MICCAI 2018: 188-196
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