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Fast Infant MRI Skullstripping with Multiview 2D Convolutional Neural Networks
The three probabilistic segmentations in the three views are linearly fused and thresholded to produce a final brain mask.
PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation
In this paper we propose a CNN-based segmentation algorithm that, in addition to being highly accurate and fast, is also resilient to variation in the input acquisition.
Pulse Sequence Resilient Fast Brain Segmentation
We use the forward models to augment the training data with test data specific training examples.
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