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Found 3 papers, 1 papers with code
Robust deformable image registration using cycle-consistent implicit representations
To improve robustness, we propose a deformable registration method using pairs of cycle-consistent Implicit Neural Representations: each implicit representation is linked to a second implicit representation that estimates the opposite transformation, causing each network to act as a regularizer for its paired opposite.
Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning
We empirically assess how many clinical delineations would be sufficient to train a CNN for the segmentation of OARs and find that increasing the training set size beyond a limited number of images leads to sharply diminishing returns.
Automatic Online Quality Control of Synthetic CTs
We show that this uncertainty measure can be used for two kinds of online quality control.
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