Deep learning-based parameter estimation in fetal diffusion-weighted MRI-Reference-Cited by-同舟云学术

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Deep learning-based parameter estimation in fetal diffusion-weighted MRI

Published:2021-11 Issue: Volume:243 Page:118482
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Karimi Davood,Jaimes Camilo,Machado-Rivas Fedel,Vasung Lana,Khan Shadab,Warfield Simon K.,Gholipour Ali

Funder

National Institutes of Health

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference44 articles.

1. Highly accelerated, model-free diffusion tensor mri reconstruction using neural networks;Aliotta;Medical physics,2019

2. Demonstration of acute ischemic lesions in the fetal brain by diffusion magnetic resonance imaging;Baldoli;Annals of neurology,2002

3. Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor mri;Basser;Journal of magnetic resonance,2011

4. Automated processing pipeline for neonatal diffusion mri in the developing human connectome project;Bastiani;NeuroImage,2019

5. Microstructural development of human brain assessed in utero by diffusion tensor imaging;Bui;Pediatric radiology,2006

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1. White matter tract crossing and bottleneck regions in the fetal brain;2024-07-22

2. Deep learning microstructure estimation of developing brains from diffusion MRI: A newborn and fetal study;Medical Image Analysis;2024-07

3. A detailed spatio-temporal atlas of the white matter tracts for the fetal brain;2024-04-27

4. DIMOND: DIffusion Model OptimizatioN with Deep Learning;Advanced Science;2024-04-18

5. Fetal brain MRI atlases and datasets: A review;NeuroImage;2024-04

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