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Generative adversarial network for segmentation of motion affected neonatal brain MRI
The results indicate that correction of motion artifacts in the image space using the proposed approach allows accurate segmentation of brain tissue classes in slices affected by motion artifacts.
Automatic brain tissue segmentation in fetal MRI using convolutional neural networks
The cornerstone of volumetric and morphologic analysis in fetal MRI is segmentation of the fetal brain into different tissue classes.
Automatic segmentation of the intracranialvolume in fetal MR images
This paper presents an automatic method for segmentation of the ICV in fetal MR images.
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