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20232026
most citedDG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time Adaptation

1 citations · 1 across the 5 of their papers we have counts for

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eess.IV2024

IM-MoCo: Self-supervised MRI Motion Correction using Motion-Guided Implicit Neural Representations

Ziad Al-Haj Hemidi, Christian Weihsbach, Mattias P. Heinrich

Motion artifacts in Magnetic Resonance Imaging (MRI) arise due to relatively long acquisition times and can compromise the clinical utility of acquired images. Traditional motion c…

cs.CV2024

Self-supervised Learning of Dense Hierarchical Representations for Medical Image Segmentation

Eytan Kats, Jochen G. Hirsch, Mattias P. Heinrich

This paper demonstrates a self-supervised framework for learning voxel-wise coarse-to-fine representations tailored for dense downstream tasks. Our approach stems from the observat…