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Computational Diffusion MRI: International MICCAI Workshop, Granada, Spain, September 2018

1st ed. 2019., 2019

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Deep learning based segmentation of brain tissue from diffusion MRI

NeuroImage (Orlando, Fla.), 2021-06, Vol.233, p.117934-117934, Article 117934

2021

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Probing tissue microstructure by diffusion skewness tensor imaging

Scientific reports, 2021-01, Vol.11 (1), p.135-135, Article 135

2021

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Rapid whole-brain electric field mapping in transcranial magnetic stimulation using deep learning

PloS one, 2021-07, Vol.16 (7), p.e0254588-e0254588

2021

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MK-curve - Characterizing the relation between mean kurtosis and alterations in the diffusion MRI signal

NeuroImage (Orlando, Fla.), 2019-08, Vol.196, p.68-80

2019

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Precise Inference and Characterization of Structural Organization (PICASO) of tissue from molecular diffusion

NeuroImage (Orlando, Fla.), 2017-02, Vol.146, p.452-473

2017

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On the Geometry of Covariance Matrices

IEEE signal processing letters, 2013-08, Vol.20 (8), p.787-790

2013

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Multi-site harmonization of diffusion MRI data in a registration framework

Brain imaging and behavior, 2018-02, Vol.12 (1), p.284-295

2018

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Detecting microstructural white matter abnormalities of frontal pathways in children with ADHD using advanced diffusion models

Brain imaging and behavior, 2020-08, Vol.14 (4), p.981-997

2020

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An information-theoretic framework for conditional causality analysis of brain networks

Network neuroscience (Cambridge, Mass.), 2024-10, Vol.8 (3), p.989-1008

Ning, Lipeng

2024

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Computational Diffusion MRI: MICCAI Workshop, Québec, Canada, September 2017

1, 2018

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Elevated hippocampal choline level is associated with altered functional connectivity in females with major depressive disorder: A pilot study

Psychiatry research. Neuroimaging, 2018-08, Vol.278, p.48-55

2018

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Performance of unscented Kalman filter tractography in edema: Analysis of the two-tensor model

NeuroImage clinical, 2017-01, Vol.15, p.819-831

2017

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Retrospective harmonization of multi-site diffusion MRI data acquired with different acquisition parameters

NeuroImage (Orlando, Fla.), 2019-01, Vol.184, p.180-200

2019

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White matter markers and predictors for subject-specific rTMS response in major depressive disorder

Journal of affective disorders, 2022-02, Vol.299, p.207-214

2022

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Cumulant expansions for measuring water exchange using diffusion MRI

The Journal of chemical physics, 2018-02, Vol.148 (7), p.074109-074109

2018

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Diffusion-MRI Based Markers and Predictors for rTMS Response in Major Depressive Disorder

Biological psychiatry (1969), 2020-05, Vol.87 (9), p.S272-S273

2020

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Accelerated diffusion and relaxation‐diffusion MRI using time‐division multiplexing EPI

Magnetic resonance in medicine, 2021-11, Vol.86 (5), p.2528-2541

2021

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Limits and reproducibility of resting-state functional MRI definition of DLPFC targets for neuromodulation

Brain stimulation, 2019-01, Vol.12 (1), p.129-138

2019

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High‐fidelity, accelerated whole‐brain submillimeter in vivo diffusion MRI using gSlider‐spherical ridgelets (gSlider‐SR)

Magnetic resonance in medicine, 2020-10, Vol.84 (4), p.1781-1795

2020

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The intelligent imaging revolution: artificial intelligence in MRI and MRS acquisition and reconstruction

Magma (New York, N.Y.), 2024-07, Vol.37 (3), p.329-333

2024

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

NeuroImage (Orlando, Fla.), 2019-07, Vol.195, p.285-299

2019

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Likelihood-free posterior estimation and uncertainty quantification for diffusion MRI models

Imaging neuroscience (Cambridge, Mass.), 2024-02, Vol.2, p.1-22

2024

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A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging

NeuroImage (Orlando, Fla.), 2016-01, Vol.125, p.386-400

2016

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Reduced cross-scanner variability using vendor-agnostic sequences for single-shell diffusion MRI

Magnetic resonance in medicine, 2024-07, Vol.92 (1), p.246-256

2024

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Computational Diffusion MRI: International MICCAI Workshop, Granada, Spain, September 2018

Deep learning based segmentation of brain tissue from diffusion MRI

Probing tissue microstructure by diffusion skewness tensor imaging

Rapid whole-brain electric field mapping in transcranial magnetic stimulation using deep learning

MK-curve - Characterizing the relation between mean kurtosis and alterations in the diffusion MRI signal

Precise Inference and Characterization of Structural Organization (PICASO) of tissue from molecular diffusion

On the Geometry of Covariance Matrices

Multi-site harmonization of diffusion MRI data in a registration framework

Detecting microstructural white matter abnormalities of frontal pathways in children with ADHD using advanced diffusion models

An information-theoretic framework for conditional causality analysis of brain networks

Computational Diffusion MRI: MICCAI Workshop, Québec, Canada, September 2017

Elevated hippocampal choline level is associated with altered functional connectivity in females with major depressive disorder: A pilot study

Performance of unscented Kalman filter tractography in edema: Analysis of the two-tensor model

Retrospective harmonization of multi-site diffusion MRI data acquired with different acquisition parameters

White matter markers and predictors for subject-specific rTMS response in major depressive disorder

Cumulant expansions for measuring water exchange using diffusion MRI

Diffusion-MRI Based Markers and Predictors for rTMS Response in Major Depressive Disorder

Accelerated diffusion and relaxation‐diffusion MRI using time‐division multiplexing EPI

Limits and reproducibility of resting-state functional MRI definition of DLPFC targets for neuromodulation

High‐fidelity, accelerated whole‐brain submillimeter in vivo diffusion MRI using gSlider‐spherical ridgelets (gSlider‐SR)

The intelligent imaging revolution: artificial intelligence in MRI and MRS acquisition and reconstruction

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

Likelihood-free posterior estimation and uncertainty quantification for diffusion MRI models

A joint compressed-sensing and super-resolution approach for very high-resolution diffusion imaging

Reduced cross-scanner variability using vendor-agnostic sequences for single-shell diffusion MRI

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