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Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset
As a consequence, there is a large interest in the automatic segmentation of white matter tract in diffusion tensor MRI data.
A hybrid deep learning framework for integrated segmentation and registration: evaluation on longitudinal white matter tract changes
Registration between time-points is used either as a prior for segmentation in a subsequent time point or to perform segmentation in a common space.
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network
We train a regression network with a fully convolutional architecture combined with a global pooling layer to aggregate the 3D output into a scalar indicating the lesion count.
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