Articles avec mandats d'accès public - Lipeng NingEn savoir plus
Non disponibles : 6
DDParcel: deep learning anatomical brain parcellation from diffusion MRI
F Zhang, KIK Cho, J Seitz-Holland, L Ning, JH Legarreta, Y Rathi, ...
IEEE Transactions on Medical Imaging, 2023
Exigences : US National Institutes of Health, National Natural Science Foundation of China
A deep-learning framework for estimating the posterior distribution of the standard model of diffusion MRI
HS Karimi, L Ning, Y Rathi
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-4, 2023
Exigences : US National Institutes of Health
In-vivo estimation of axon radii from clinical scanners
D Mandal, L Ning, Y Rathi
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
Exigences : US National Institutes of Health
Diffusion Propagator Estimation Using Gaussians Scattered in q-Space
L Ning, O Michailovich, CF Westin, Y Rathi
Computational Diffusion MRI: MICCAI Workshop, Boston, MA, USA, September …, 2014
Exigences : US National Institutes of Health
A Deep Learning Framework for Estimating Multi-Fiber PICASO Model Parameters of Tissue Microstructure Using Diffusion MRI
T Xue, HS Karimi, W Consagra, F Zhang, W Cai, LJ O’Donnell, L Ning, ...
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
Exigences : US National Institutes of Health
Dynamic Regression for Partial Correlation and Causality Analysis of Functional Brain Networks
L Ning, Y Rathi
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
Exigences : US National Institutes of Health
Disponibles quelque part : 45
Inter-site and inter-scanner diffusion MRI data harmonization
H Mirzaalian, L Ning, P Savadjiev, O Pasternak, S Bouix, O Michailovich, ...
NeuroImage 135, 311-323, 2016
Exigences : US National Institutes of Health, US Department of Veterans Affairs, Swedish …
Retrospective harmonization of multi-site diffusion MRI data acquired with different acquisition parameters
SC Karayumak, S Bouix, L Ning, A James, T Crow, M Shenton, M Kubicki, ...
Neuroimage 184, 180-200, 2019
Exigences : US National Institutes of Health
Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms
CMW Tax, F Grussu, E Kaden, L Ning, U Rudrapatna, CJ Evans, ...
NeuroImage 195, 285-299, 2019
Exigences : US National Institutes of Health, Research Foundation (Flanders …
Multi-site harmonization of diffusion MRI data in a registration framework
H Mirzaalian, L Ning, P Savadjiev, O Pasternak, S Bouix, O Michailovich, ...
Brain imaging and behavior 12, 284-295, 2018
Exigences : US National Institutes of Health, US Department of Veterans Affairs, Swedish …
Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use?
L Ning, F Laun, Y Gur, EVR DiBella, S Deslauriers-Gauthier, T Megherbi, ...
Medical image analysis 26 (1), 316-331, 2015
Exigences : US National Institutes of Health
Estimating diffusion propagator and its moments using directional radial basis functions
L Ning, CF Westin, Y Rathi
IEEE transactions on medical imaging 34 (10), 2058-2078, 2015
Exigences : US National Institutes of Health, Swedish Research Council
A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging
L Ning, K Setsompop, O Michailovich, N Makris, ME Shenton, CF Westin, ...
NeuroImage 125, 386-400, 2016
Exigences : US National Institutes of Health, US Department of Veterans Affairs, Swedish …
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results
L Ning, E Bonet-Carne, F Grussu, F Sepehrband, E Kaden, J Veraart, ...
Neuroimage 221, 117128, 2020
Exigences : US National Institutes of Health, Research Foundation (Flanders …
Limits and reproducibility of resting-state functional MRI definition of DLPFC targets for neuromodulation
L Ning, N Makris, JA Camprodon, Y Rathi
Brain stimulation 12 (1), 129-138, 2019
Exigences : US National Institutes of Health
Deep learning based segmentation of brain tissue from diffusion MRI
F Zhang, A Breger, KIK Cho, L Ning, CF Westin, LJ O’Donnell, ...
Neuroimage 233, 117934, 2021
Exigences : US National Institutes of Health
Advanced diffusion imaging for assessing normal white matter development in neonates and characterizing aberrant development in congenital heart disease
S Karmacharya, B Gagoski, L Ning, R Vyas, HH Cheng, J Soul, ...
NeuroImage: Clinical 19, 360-373, 2018
Exigences : US National Institutes of Health
On matrix-valued Monge–Kantorovich optimal mass transport
L Ning, TT Georgiou, A Tannenbaum
IEEE transactions on automatic control 60 (2), 373-382, 2014
Exigences : US National Institutes of Health
Cumulant expansions for measuring water exchange using diffusion MRI
L Ning, M Nilsson, S Lasič, CF Westin, Y Rathi
The Journal of chemical physics 148 (7), 2018
Exigences : US National Institutes of Health, Swedish Research Council
Joint relaxation-diffusion imaging moments to probe neurite microstructure
L Ning, B Gagoski, F Szczepankiewicz, CF Westin, Y Rathi
IEEE transactions on medical imaging 39 (3), 668-677, 2019
Exigences : US National Institutes of Health
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