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Automated segmentation of biventricular contours in tissue phase mapping using deep learning

NMR in Biomedicine(2021)10.1002/nbm.4606Source: DataRank Database

Automated segmentation of biventricular contours in tissue phase mapping using deep learning is a research paper published in NMR in Biomedicine (2021). On theSindex it has a DataRank of 0. It has been cited 6 times.

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Open Access6 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (18 grants)Impact (FWCI 0.63)OA: greenTopics (40)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (9)

Ashitha Pathrose ORCID,Roberto Sarnari,Allison Blake ORCID,Haben Berhane ORCID,Justin Baraboo ORCID

Live enrichment

PubMed:34476863 PMC:PMC8795858 OpenAlex:https://openalex.org/W3197673523

American Heart Association

Grant: 19IPLOI34760317

National Institutes of Health

Grant: R21EB030806

National Institutes of Health

Grant: T32EB025766

National Institutes of Health

Grant: R01HL117888

National Institutes of Health

Grant: R01HL151079

National Institutes of Health

Grant: R21AG055954

National Institutes of Health

Grant: R21EB024315

National Institutes of Health

Grant: R01HL138578

National Institutes of Health

Grant: R01HL116895

NCATS NIH HHS

Grant: UL1 TR001422

National Institutes of Health

Grant: 5R21AG055954-02

MRI of Left Atrial Hemodynamic Disorders in Atrial Fibrillation

National Institutes of Health

Grant: 1T32EB025766-01A1

Graduate Training Program for Magnetic Resonance Imaging

National Institutes of Health

Grant: 3R01HL151079-03S1

Diversity Supplement for Real-time Wideband Cardiac MRI for Patients with a Cardiac Implantable Electronic Device

National Institutes of Health

Grant: 5R01HL117888-03

Comprehensive Cardiac Structure-Function Analysis in Heart Transplantation

National Institutes of Health

Grant: 1R21EB024315-01

Rapid Pediatric Cardiovascular MRI without Contrast Agent or Anesthesia

National Institutes of Health

Grant: 1R21EB030806-01A1

Next-Generation Cardiovascular MRI powered by Artificial Intelligence

National Institutes of Health

Grant: 5R01HL138578-02

Rapid Real-Time Cardiovascular MRI for Detecting Coronary Artery Disease

National Institutes of Health

Grant: 5R01HL116895-10

Precision MRI of Left Atrial Fibrosis for Patients with Atrial Fibrillation

FWCI

0.63

Citation Percentile

0.7%

Citation Trend

2023

2024

2025

greenLicense: Wiley Online Library User Agreement

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8795858

publisherhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/nbm.4606

publisherhttps://onlinelibrary.wiley.com/doi/full-xml/10.1002/nbm.4606

publisherhttps://analyticalsciencejournals.onlinelibrary.wiley.com/doi/pdf/10.1002/nbm.4606

Fields of Study

Advanced MRI Techniques and ApplicationsCardiac Valve Diseases and TreatmentsCardiac Imaging and Diagnostics03 medical and health sciences0302 clinical medicine

MeSH Terms

Deep LearningAdultAgedFemaleHeart VentriclesHumansMaleMiddle AgedHeart TransplantationMagnetic Resonance Imaging, Cine

Keywords

Hausdorff distanceSegmentationArtificial intelligenceComputer scienceVentriclePattern recognition (psychology)Computer visionMathematicsNuclear medicineMedicineInternal medicineImage segmentationTissue Phase Mapping (Tpm)Deep Learning (Dl)Multi-channel 3D Dense U-netAdultMaleDeep LearningHeart VentriclesHeart TransplantationHumansMagnetic Resonance Imaging, CineFemaleMiddle AgedAged

Sustainable Development Goals

SDG 0: Decent work and economic growth