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Found 8 papers, 3 papers with code
The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)
The Brain Imaging Data Structure (BIDS) is a community-driven standard for the organization of data and metadata from a growing range of neuroscience modalities.
Fractional ridge regression: a fast, interpretable reparameterization of ridge regression
Ridge regression (RR) is a regularization technique that penalizes the L2-norm of the coefficients in linear regression.
Fitting IVIM with Variable Projection and Simplicial Optimization
Fitting multi-exponential models to Diffusion MRI (dMRI) data has always been challenging due to various underlying complexities.
Forecasting Future Humphrey Visual Fields Using Deep Learning
Methods: All datapoints from consecutive 24-2 HVFs from 1998 to 2018 were extracted from a University of Washington database.
Journal of Open Source Software (JOSS): design and first-year review
JOSS is a free and open-access journal that publishes articles describing research software.
Digital Libraries Software Engineering
Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain
Diffusion-weighted magnetic resonance imaging (DWI) and fiber tractography are the only methods to measure the structure of the white matter in the living human brain.
Quantifying error in estimates of human brain fiber directions using Earth Mover's Distance
To elucidate the structure of these connections, algorithms for tracking bundles of axonal fibers through the subcortical white matter rely on local estimates of the fiber orientation distribution function (fODF) in different parts of the brain.
Deconvolution of High-Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain
Diffusion-weighted magnetic resonance imaging (DWI) and fiber tractography are the only methods to measure the structure of the white matter in the living human brain.
