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Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.25.530046Source: DataRank Database

Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2023). On theSindex it has a DataRank of 0. It has been cited 11 times.

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Open Access11 citations

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Enrichment:Funding (8 grants)OA: greenTopics (20)IDs (PubMed, OpenAlex)SDGs (1)

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Context only (not used in score)

Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (11)

Ho Hin Lee ORCID,Nancy R. Newlin ORCID,Cailey I. Kerley ORCID,Praitayini Kanakaraj ORCID,Qi Yang ORCID

Live enrichment

PubMed:36909466 OpenAlex:https://openalex.org/W4322630837

National Institutes of Health

Grant: 5P50HD103537-03

Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at Vanderbilt

National Institutes of Health

Grant: 5U54HD083211-03

Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at Vanderbilt University

National Science Foundation

Grant: 2040462

NSF Convergence Accelerator Track D: Scalable, TRaceable Ai for Imaging Translation: Innovation to Implementation for Accelerated Impact (STRAIT I3)

National Institutes of Health

Grant: 5K01EB032898-03

Microstructure and connectivity modeling from the cortex to the spinal cord in Multiple Sclerosis

National Institutes of Health

Grant: 5R01EB017230-07

Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRI

National Institutes of Health

Grant: 5T32GM007347-08

MEDICAL SCIENTIST TRAINING PROGRAM

National Institutes of Health

Grant: 5U34DK123894-02

Planning for a Cohort Study on Neurocognitive Complication of Type 1 Diabetes in Children

National Institutes of Health

Grant: 1U34DK123895-01

Identifying Modifiable Risk and Protective Factors for Neurocognitive Complications of Pediatric Type 1 Diabetes

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/03/08/2023.02.25.530046.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2023.02.25.530046

repositoryhttps://doi.org/10.1101/2023.02.25.530046

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36909466

Fields of Study

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsBone and Joint Diseases03 medical and health sciences0302 clinical medicine

Keywords

TractographyDiffusion MRIContext (archaeology)Convolutional neural networkComputer scienceArtificial intelligenceDiffusionMagnetic resonance imagingNeuroscienceMedicinePsychologyRadiologyPhysicsBiologyArticle

Sustainable Development Goals

SDG 0: Quality Education