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A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI

IEEE Transactions on Medical Imaging(2020)10.1109/tmi.2020.3046579Source: DataRank Database

A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI is a research paper published in IEEE Transactions on Medical Imaging (2020). On theSindex it has a DataRank of 0. It has been cited 76 times.

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Open Access76 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (17 grants)OA: greenTopics (27)IDs (PubMed, PMC)

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Open Access

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Authors (10)

Davood Karimi ORCID,Caitlin K. Rollins ORCID,Cynthia M. Ortinau ORCID,Lana Vasung ORCID,Clemente Velasco‐Annis ORCID

Live enrichment

PubMed:33351755 PMC:PMC8016740

National Institutes of Health

Grant: R01 EB018988

National Institutes of Health

Grant: R01 NS106030

National Institutes of Health

Grant: K23 NS101120

National Institutes of Health

Grant: K23 HL141602

National Key Research and Development Program of China

Grant: 2019YFC0118300

Shenzhen Peacock Plan

Grant: KQTD2016053112051497

Shenzhen Peacock Plan

Grant: KQJSCX20180328095606003

National Institutes of Health

Grant: 5R01NS106030-04

Advancing microstructural and vascular neuroimaging in perinatal stroke

National Institutes of Health

Grant: 5R01EB018988-04

Motion-robust super-resolution diffusion weighted MRI of early brain development

National Institutes of Health

Grant: 5K23HL141602-02

Physiologic and Genetic Contributions of Impaired Fetal Brain Development in Congenital Heart Disease

National Institutes of Health

Grant: 5K23NS101120-05

Fetal Brain Development in Congenital Heart Disease

Brain and Behaviour Research Foundation

Pediatric Heart Network

Ralph Schlager fellowship at Harvard University

awards from the Mend A Heart Foundation

Technological Innovations in Neuroscience Award from the McKnight Foundation

American Academy of Neurology

greenLicense: other-oa

repositoryhttps://research.manchester.ac.uk/en/publications/fb97df96-91bd-4d5c-af29-c78d7890ec96

publisherhttp://xplorestaging.ieee.org/ielx7/42/9393623/09303459.pdf?arnumber=9303459

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8016740

https://doi.org/10.1109/tmi.2020.3046579

https://eprints.whiterose.ac.uk/180017/1/2004.12847.pdf

Fields of Study

03 medical and health sciences0302 clinical medicine

MeSH Terms

Cerebral CortexFetusMagnetic Resonance ImagingImage Processing, Computer-AssistedNeural Networks, Computer

Keywords

Cerebral CortexFOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern Recognitionconvolutional neural networkdeep learningElectrical Engineering and Systems Science - Image and Video ProcessingQuantitative Biology - Quantitative MethodsMagnetic Resonance Imagingattentionautomatic segmentationFetusfetal MRIFOS: Biological sciencesImage Processing, Computer-AssistedFOS: Electrical engineering, electronic engineering, information engineeringCortical plateNeural Networks, ComputerQuantitative Methods (q-bio.QM)