Lipeng Ning

Orcid: 0000-0003-4992-459X

According to our database1, Lipeng Ning authored at least 44 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
DDParcel: Deep Learning Anatomical Brain Parcellation From Diffusion MRI.
IEEE Trans. Medical Imaging, March, 2024

2023
SlicerTMS: Interactive Real-time Visualization of Transcranial Magnetic Stimulation using Augmented Reality and Deep Learning.
CoRR, 2023

Maximum-Entropy Estimation of Joint Relaxation-Diffusion Distribution Using Multi-TE Diffusion MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Deep Learning Framework for Estimating Multi-Fiber PICASO Model Parameters of Tissue Microstructure Using Diffusion MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

In-Vivo Estimation of Axon Radii From Clinical Scanners.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

A Deep-Learning Framework for Estimating the Posterior Distribution of the Standard Model of Diffusion Mri.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Minimum-entropy causal inference and its application in brain network analysis.
CoRR, 2022

On the Dataset Quality Control for Image Registration Evaluation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Deep learning based segmentation of brain tissue from diffusion MRI.
NeuroImage, 2021

2020
Joint RElaxation-Diffusion Imaging Moments to Probe Neurite Microstructure.
IEEE Trans. Medical Imaging, 2020

Smooth Interpolation of Covariance Matrices and Brain Network Estimation: Part II.
IEEE Trans. Autom. Control., 2020

Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results.
NeuroImage, 2020

2019
Smooth Interpolation of Covariance Matrices and Brain Network Estimation.
IEEE Trans. Autom. Control., 2019

MK-curve - Characterizing the relation between mean kurtosis and alterations in the diffusion MRI signal.
NeuroImage, 2019

Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms.
NeuroImage, 2019

Retrospective harmonization of multi-site diffusion MRI data acquired with different acquisition parameters.
NeuroImage, 2019

2018
A Dynamic Regression Approach for Frequency-Domain Partial Coherence and Causality Analysis of Functional Brain Networks.
IEEE Trans. Medical Imaging, 2018

Regularization and Interpolation of Positive Matrices.
IEEE Trans. Autom. Control., 2018

Suprathreshold fiber cluster statistics: Leveraging white matter geometry to enhance tractography statistical analysis.
NeuroImage, 2018

Regularization of covariance matrices on Riemannian manifolds using linear systems.
CoRR, 2018

2017
Precise Inference and Characterization of Structural Organization (PICASO) of tissue from molecular diffusion.
NeuroImage, 2017

Matricial Wasserstein-1 Distance.
IEEE Control. Syst. Lett., 2017

Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Dynamic Regression for Partial Correlation and Causality Analysis of Functional Brain Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Corrigendum to "A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging".
NeuroImage, 2016

A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging.
NeuroImage, 2016

Inter-site and inter-scanner diffusion MRI data harmonization.
NeuroImage, 2016

2015
Estimating Diffusion Propagator and Its Moments Using Directional Radial Basis Functions.
IEEE Trans. Medical Imaging, 2015

On Matrix-Valued Monge-Kantorovich Optimal Mass Transport.
IEEE Trans. Autom. Control., 2015

Linear Models Based on Noisy Data and the Frisch Scheme.
SIAM Rev., 2015

Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?
Medical Image Anal., 2015

A Compressed-Sensing Approach for Super-Resolution Reconstruction of Diffusion MRI.
Proceedings of the Information Processing in Medical Imaging, 2015

2014
Maximum Entropy Estimation of Glutamate and Glutamine in MR Spectroscopic Imaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Metrics for Matrix-valued Measures via Test Functions.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

On robustness of ℓ1-regularization methods for spectral estimation.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
On the Geometry of Covariance Matrices.
IEEE Signal Process. Lett., 2013

Approximation in the Wasserstein distance with application to clustering.
CoRR, 2013

The Wasserstein metric in Factor Analysis.
Proceedings of the SIAM Conference on Control and its Applications, 2013

2012
Distances and Riemannian Metrics for Multivariate Spectral Densities.
IEEE Trans. Autom. Control., 2012

Metrics for multivariate power spectra.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Geometric methods for structured covariance estimation.
Proceedings of the American Control Conference, 2012

2011
Geometric methods for estimation of structured covariances
CoRR, 2011

Sparse factor analysis via likelihood and ℓ1-regularization.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Separation of system dynamics and line spectra via sparse representation.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010


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