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ORCIDChristian Weihsbach
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Journal Articles
- 2024
[j1]Christian Weihsbach
, Nora Vogt, Ziad Al-Haj Hemidi, Alexander Bigalke, Lasse Hansen, Julien Oster, Mattias P. Heinrich:
AcquisitionFocus: Joint Optimization of Acquisition Orientation and Cardiac Volume Reconstruction Using Deep Learning. Sensors 24(7): 2296 (2024)
Conference and Workshop Papers
- 2024
- [c4]Ziad Al-Haj Hemidi, Christian Weihsbach, Mattias P. Heinrich:
IM-MoCo: Self-supervised MRI Motion Correction Using Motion-Guided Implicit Neural Representations. MICCAI (7) 2024: 382-392 - 2023
- [c3]Ziad Al-Haj Hemidi, Nora Vogt, Lucile Quillien, Christian Weihsbach, Mattias P. Heinrich, Julien Oster:
CineJENSE: Simultaneous Cine MRI Image Reconstruction and Sensitivity Map Estimation Using Neural Representations. STACOM@MICCAI 2023: 467-478 - 2022
- [c2]Christian Weihsbach, Lasse Hansen, Mattias P. Heinrich:
XEdgeConv: Leveraging graph convolutions for efficient, permutation- and rotation-invariant dense 3D medical image segmentation. GeoMedIA 2022: 61-71 - [c1]Christian Weihsbach, Alexander Bigalke, Christian N. Kruse, Hellena Hempe, Mattias P. Heinrich:
DeepSTAPLE: Learning to Predict Multimodal Registration Quality for Unsupervised Domain Adaptation. WBIR 2022: 37-46
Informal and Other Publications
- 2024
- [i2]Ziad Al-Haj Hemidi, Christian Weihsbach, Mattias P. Heinrich:
IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations. CoRR abs/2407.02974 (2024) - 2023
- [i1]Christian Weihsbach, Christian N. Kruse, Alexander Bigalke, Mattias P. Heinrich:
DG-TTA: Out-of-domain medical image segmentation through Domain Generalization and Test-Time Adaptation. CoRR abs/2312.06275 (2023)
Coauthor Index
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