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Found 5 papers, 2 papers with code
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 a low-dimensional latent spaces.
StreamNet: A WAE for White Matter Streamline Analysis
This proposed framework takes advantage of geometry-preserving properties of the Wasserstein-1 metric in order to achieve direct encoding and reconstruction of entire bundles of streamlines.
Alignment of Tractography Streamlines using Deformation Transfer via Parallel Transport
We present a geometric framework for aligning white matter fiber tracts.
SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic Shape Alignment
We present SrvfNet, a generative deep learning framework for the joint multiple alignment of large collections of functional data comprising square-root velocity functions (SRVF) to their templates.
Automating Artifact Detection in Video Games
Based on a sample of representative screen corruption examples, the model was able to identify 10 of the most commonly occurring screen artifacts with reasonable accuracy.
