Christian Weihsbach

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 6

Top Topics

Medical Image Segmentation

Magnetic Resonance

Rotation Invariance

Top Venues

Publications

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) (2024)
Ziad Al-Haj Hemidi, Christian Weihsbach, Mattias P. Heinrich
IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations. CoRR (2024)
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 (2023)
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)
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)
Christian Weihsbach, Lasse Hansen, Mattias P. Heinrich
XEdgeConv: Leveraging graph convolutions for efficient, permutation- and rotation-invariant dense 3D medical image segmentation. GeoMedIA (2022)