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Super-resolution Left Ventricular Flow and Pressure Mapping by Navier-Stokes-Informed Neural Networks

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.04.12.589319Source: DataRank Database

Super-resolution Left Ventricular Flow and Pressure Mapping by Navier-Stokes-Informed Neural Networks is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0.

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Enrichment:Funding (5 grants)OA: greenTopics (20)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (9)

Pablo Martínez‐Legazpi ORCID,Manuel Guerrero‐Hurtado ORCID,Cathleen M. Nguyen,Alejandro Gonzalo ORCID,Andrew M. Kahn ORCID

Live enrichment

PubMed:38659851 OpenAlex:https://openalex.org/W4394852292

National Science Foundation

Grant: 2140004

Graduate Research Fellowship Program (GRFP)

National Institutes of Health

Grant: 5R01HL158667-02

Mechanistic Relationships Between Fibrosis, Fibrillation, and Stroke: Multi-Scale, Multi-Physics Simulations

National Institutes of Health

Grant: 5R01HL160024-04

Patient-specific thrombosis risk in atrial fibrillation by 4D CT imaging of atrial kinetics combined with computational fluid dynamics

NHLBI NIH HHS

Grant: R01 HL158667

NHLBI NIH HHS

Grant: R01 HL160024

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2024/04/15/2024.04.12.589319.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2024.04.12.589319

repositoryhttps://doi.org/10.1101/2024.04.12.589319

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38659851

Fields of Study

Model Reduction and Neural NetworksFluid Dynamics and Turbulent FlowsCardiac Valve Diseases and Treatments

Keywords

Flow (mathematics)Vector flowArtificial intelligenceComputer scienceConservation of massAlgorithmComputer visionPhysicsMechanicsImage segmentationImage (mathematics)Heart VentriclesModels, CardiovascularHumansNeural Networks, ComputerArticleVentricular Function, Left

Sustainable Development Goals

SDG 0: Life in Land