40 citations · 67 across the 12 of their papers we have counts for
13 papers
Neural Orientation Distribution Fields for Estimation and Uncertainty Quantification in Diffusion MRI
William Consagra, Lipeng Ning, Yogesh Rathi
Inferring brain connectivity and structure \textit{in-vivo} requires accurate estimation of the orientation distribution function (ODF), which encodes key local tissue properties.…
Minimum-entropy causal inference and its application in brain network analysis
Lipeng Ning
Identification of the causal relationship between multivariate time series is a ubiquitous problem in data science. Granger causality measure (GCM) and conditional Granger causalit…
High-fidelity, accelerated whole-brain submillimeter in-vivo diffusion MRI using gSlider-Spherical Ridgelets (gSlider-SR)
Gabriel Ramos-Llordén, Lipeng Ning, Congyu Liao +4
Purpose: To develop an accelerated, robust, and accurate diffusion MRI acquisition and reconstruction technique for submillimeter whole human brain in-vivo scan on a clinical scann…
Regularization of time-varying covariance matrices using linear stochastic systems
Lipeng Ning
This work focuses on modeling of time-varying covariance matrices using the state covariance of linear stochastic systems. Following concepts from optimal mass transport and the Sc…
Regularization of covariance matrices on Riemannian manifolds using linear systems
Lipeng Ning
We propose an approach to use the state covariance of linear systems to track time-varying covariance matrices of non-stationary time series. Following concepts from Riemmanian geo…
Matricial Wasserstein-1 Distance
Yongxin Chen, Tryphon T. Georgiou, Lipeng Ning +1
In this note, we propose an extension of the Wasserstein 1-metric () for matrix probability densities, matrix-valued density measures, and an unbalanced interpretation of mass…