Search Results for author: Ariel Rokem

Found 7 papers, 3 papers with code

Fractional ridge regression: a fast, interpretable reparameterization of ridge regression

2 code implementations7 May 2020 Ariel Rokem, Kendrick Kay

Ridge regression (RR) is a regularization technique that penalizes the L2-norm of the coefficients in linear regression.

regression

Forecasting Future Humphrey Visual Fields Using Deep Learning

2 code implementations2 Apr 2018 Joanne C. Wen, Cecilia S. Lee, Pearse A. Keane, Sa Xiao, Yue Wu, Ariel Rokem, Philip P. Chen, Aaron Y. Lee

Methods: All datapoints from consecutive 24-2 HVFs from 1998 to 2018 were extracted from a University of Washington database.

Transfer Learning

Deconvolution of High Dimensional Mixtures via Boosting, with Application to Diffusion-Weighted MRI of Human Brain

no code implementations NeurIPS 2014 Charles Y. Zheng, Franco Pestilli, Ariel Rokem

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.

Spike Sorting

Quantifying error in estimates of human brain fiber directions using Earth Mover's Distance

no code implementations19 Nov 2014 Charles Zheng, Franco Pestilli, Ariel Rokem

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

no code implementations25 Sep 2014 Charles Zheng, Franco Pestilli, Ariel Rokem

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.

Spike Sorting

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