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Lipeng Ning

Showing results (1-10 of 60) with videos related to

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IEEE Transactions on Automatic Control|April 28, 2021
Smooth Interpolation of Covariance Matrices and Brain Network EstimationLipeng Ning
Network Neuroscience (Cambridge, Mass.)|October 2, 2024
An information-theoretic framework for conditional causality analysis of brain networksLipeng Ning
IEEE Transactions on Automatic Control|May 3, 2021
Smooth interpolation of covariance matrices and brain network estimation: Part IILipeng Ning
Imaging Neuroscience (Cambridge, Mass.)|August 22, 2025
Maximum-entropy and subspace methods for high-resolution relaxation-diffusion distribution estimationLipeng Ning
IEEE Transactions on Medical Imaging|August 18, 2017
A Dynamic Regression Approach for Frequency-Domain Partial Coherence and Causality Analysis of Functional Brain NetworksLipeng Ning, Yogesh Rathi
Medical Image Analysis|March 20, 2025
A deep learning approach to multi-fiber parameter estimation and uncertainty quantification in diffusion MRIWilliam Consagra, Lipeng Ning, Yogesh Rathi
Arxiv|March 10, 2025
A Deep Learning Approach to Multi-Fiber Parameter Estimation and Uncertainty Quantification in Diffusion MRIWilliam Consagra, Lipeng Ning, Yogesh Rathi
Biorxiv : the Preprint Server for Biology|March 30, 2023
A domain-agnostic MR reconstruction framework using a randomly weighted neural networkArghya Pal, Lipeng Ning, Yogesh Rathi
Medical Image Analysis|February 20, 2024
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRIWilliam Consagra, Lipeng Ning, Yogesh Rathi
IEEE Transactions on Medical Imaging|April 4, 2015
Estimating diffusion propagator and its moments using directional radial basis functionsLipeng Ning, Carl-Fredrik Westin, Yogesh Rathi
Pageof 6

Showing results (1-10 of 60) with videos related to

Sort By:
Pageof 6
IEEE Transactions on Automatic Control|April 28, 2021
Smooth Interpolation of Covariance Matrices and Brain Network EstimationLipeng Ning
Network Neuroscience (Cambridge, Mass.)|October 2, 2024
An information-theoretic framework for conditional causality analysis of brain networksLipeng Ning
IEEE Transactions on Automatic Control|May 3, 2021
Smooth interpolation of covariance matrices and brain network estimation: Part IILipeng Ning
Imaging Neuroscience (Cambridge, Mass.)|August 22, 2025
Maximum-entropy and subspace methods for high-resolution relaxation-diffusion distribution estimationLipeng Ning
IEEE Transactions on Medical Imaging|August 18, 2017
A Dynamic Regression Approach for Frequency-Domain Partial Coherence and Causality Analysis of Functional Brain NetworksLipeng Ning, Yogesh Rathi
Medical Image Analysis|March 20, 2025
A deep learning approach to multi-fiber parameter estimation and uncertainty quantification in diffusion MRIWilliam Consagra, Lipeng Ning, Yogesh Rathi
Arxiv|March 10, 2025
A Deep Learning Approach to Multi-Fiber Parameter Estimation and Uncertainty Quantification in Diffusion MRIWilliam Consagra, Lipeng Ning, Yogesh Rathi
Biorxiv : the Preprint Server for Biology|March 30, 2023
A domain-agnostic MR reconstruction framework using a randomly weighted neural networkArghya Pal, Lipeng Ning, Yogesh Rathi
Medical Image Analysis|February 20, 2024
Neural orientation distribution fields for estimation and uncertainty quantification in diffusion MRIWilliam Consagra, Lipeng Ning, Yogesh Rathi
IEEE Transactions on Medical Imaging|April 4, 2015
Estimating diffusion propagator and its moments using directional radial basis functionsLipeng Ning, Carl-Fredrik Westin, Yogesh Rathi
Pageof 6