Deep learning methods for identification of white matter Fiber tracts: review of state-of-the-art and future prospective
Quantitative analysis of white matter fiber tracts from diffusion Magnetic Resonance Imaging
(dMRI) data is of great significance in health and disease. For example, analysis of fiber …
(dMRI) data is of great significance in health and disease. For example, analysis of fiber …
Learning optimal white matter tract representations from tractography using a deep generative model for population analyses
Whole brain tractography is commonly used to study the brain's white matter fiber pathways,
but the large number of streamlines generated-up to one million per brain-can be …
but the large number of streamlines generated-up to one million per brain-can be …
StreamNet: A WAE for White Matter Streamline Analysis
We present StreamNet, an autoencoder architecture for the analysis of the highly
heterogeneous geometry of large collections of white matter streamlines. This proposed …
heterogeneous geometry of large collections of white matter streamlines. This proposed …
Differentiable VQ-VAE's for Robust White Matter Streamline Encodings
Given the complex geometry of white matter streamlines, autoencoders have been proposed
as a dimension-reduction tool to simplify the analysis streamlines in low-dimensional latent …
as a dimension-reduction tool to simplify the analysis streamlines in low-dimensional latent …
Deep generative model for learning tractography streamline embeddings based on convolutional variational autoencoder
We present a deep generative model to autoencode tractography streamlines into a smooth
low dimensional latent distribution, which captures their spatial and sequential information …
low dimensional latent distribution, which captures their spatial and sequential information …
Learning White Matter Streamline Representations Using Transformer-based Siamese Networks with Triplet Margin Loss
Robust latent representation of white matter streamlines are critical for parcellating
streamlines. This work introduced a novel transformer-based siamese network with triplet …
streamlines. This work introduced a novel transformer-based siamese network with triplet …