207 citations · 480 across the 15 of their papers we have counts for
4 papers · 1 filter
CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis
Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger
Modeling temporal changes in subcortical structures is crucial for a better understanding of the progression of Alzheimer's disease (AD). Given their flexibility to adapt to hetero…
Recalibration of Neural Networks for Point Cloud Analysis
Ignacio Sarasua, Sebastian Poelsterl, Christian Wachinger
Spatial and channel re-calibration have become powerful concepts in computer vision. Their ability to capture long-range dependencies is especially useful for those networks that e…
Detect and Correct Bias in Multi-Site Neuroimaging Datasets
Christian Wachinger, Anna Rieckmann, Sebastian Pölsterl
The desire to train complex machine learning algorithms and to increase the statistical power in association studies drives neuroimaging research to use ever-larger datasets. The m…
'Squeeze & Excite' Guided Few-Shot Segmentation of Volumetric Images
Abhijit Guha Roy, Shayan Siddiqui, Sebastian Pölsterl +2
Deep neural networks enable highly accurate image segmentation, but require large amounts of manually annotated data for supervised training. Few-shot learning aims to address this…