About: Fast and accurate view classification of echocardiograms using deep learning

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scientific article published on 21 March 2018

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rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована у 2018 (uk) scientific article published on 21 March 2018 (en) article scientifique publié en 2018 (fr) artículu científicu espublizáu en marzu de 2018 (ast)
publication date	wds:Q62496687-55F634AB-1AB2-4333-A33E-11C1FF5B77AA
publication date	2018-03-21 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q62496687-7916E092-0DE6-4F6A-AFA5-4702DE1FA6A5
language of work or name	English
exact match	wds:Q62496687-B6245A1B-2100-46D7-9F68-95F1358E81FD
exact match	https://scigraph.springernature.com/pub.10.1038/s41746-017-0013-1
cites work	wds:Q62496687-1141D3C1-71CD-4DD9-8A51-37774CB17B40 wds:Q62496687-4993A567-6BB4-44E9-B468-542AA4C4EA67 wds:Q62496687-59572B77-77B3-406B-A443-0992879AE80C wds:Q62496687-60B3F7DC-E695-48D3-AC78-8F7DEA9519AC wds:Q62496687-9CEEE1E9-56DF-4103-A0C9-8DAAD7004F88 wds:Q62496687-AB631EA4-4BA4-46C1-9D09-DC4D8C14E51E wds:Q62496687-B0CF3537-1420-4125-B936-1CB13C86AA84 wds:Q62496687-E209649A-0F73-4ACE-BDD0-BC46E3CA4B6F wds:Q62496687-E3FF7071-66F0-43DD-B135-340B23099B8C wds:Q62496687-E825FF04-3B20-4495-90DD-487DCDB9AF04 wds:Q62496687-F307E3E7-62C6-409A-964E-A339F62F4195
cites work	Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs Dermatologist-level classification of skin cancer with deep neural networks wd:Q28306041 ImageNet Large Scale Visual Recognition Challenge Fully Automated Versus Standard Tracking of Left Ventricular Ejection Fraction and Longitudinal Strain: The FAST-EFs Multicenter Study. Machine-Learning Algorithms to Automate Morphological and Functional Assessments in 2D Echocardiography Automatic apical view classification of echocardiograms using a discriminative learning dictionary. A minimum dataset for a standard adult transthoracic echocardiogram: a guideline protocol from the British Society of Echocardiography Cognitive Machine-Learning Algorithm for Cardiac Imaging: A Pilot Study for Differentiating Constrictive Pericarditis From Restrictive Cardiomyopathy Mid-level image representations for real-time heart view plane classification of echocardiograms. AutoGate: fast and automatic Doppler gate localization in B-mode echocardiogram
author name string	wds:Q62496687-23F48F81-572B-442A-8E1B-1EE1AF95C19A wds:Q62496687-7E6F57EF-AA69-488F-BF69-EEF47225CCAF wds:Q62496687-D101BB27-BE9C-439F-9BCA-A91EAC7523D5
author name string	Rima Arnaout Ali Madani Ramy Arnaout
rdfs:label	Fast and accurate view classification of echocardiograms using deep learning (en) Fast and accurate view classification of echocardiograms using deep learning (nl)
skos:prefLabel	Fast and accurate view classification of echocardiograms using deep learning (en) Fast and accurate view classification of echocardiograms using deep learning (nl)
name	Fast and accurate view classification of echocardiograms using deep learning (en) Fast and accurate view classification of echocardiograms using deep learning (nl)
author	wds:Q62496687-933390E5-6F33-4628-B802-C6ABD16DF01D
author	Mohammad R. K. Mofrad
title	wds:Q62496687-6394DF9E-F7E5-44C8-BD37-7F70A7CCC108
title	Fast and accurate view classification of echocardiograms using deep learning (en)
instance of	wds:Q62496687-87A29741-B498-45FF-B32C-EAF3685E26A2
instance of	scholarly article
main subject	wds:Q62496687-966CAF75-C94B-4FD4-A77D-DEF75E50E175
main subject	deep learning
PubMed ID	wds:Q62496687-3F0148DE-BC74-45E9-B09B-771F76DB2EDE
PubMed ID	http://rdf.ncbi.nlm.nih.gov/pubchem/reference/30828647
PubMed ID	30828647
published in	wds:Q62496687-4A5B41F5-036D-4987-BC9D-DB709266F65D
published in	npj Digital Medicine
issue	wds:Q62496687-10C6A79B-75F6-4528-AAA7-D75CED2F1EDA
volume	wds:Q62496687-01E55388-1B24-4ED5-B42C-E55A9EC112EC
issue	1
volume	1
DOI	wds:Q62496687-9F1EDF58-A11C-422B-BCFE-CE0D3AF94506
DOI	http://dx.doi.org/10.1038/S41746-017-0013-1
DOI	10.1038/S41746-017-0013-1
copyright license	wds:Q62496687-cc4e1177-b573-442e-a07f-086ffb6d3995
copyright status	wds:Q62496687-a3ae40ee-05f8-43a2-befc-adab0fd8eb8a
copyright license	Creative Commons Attribution 4.0 International
copyright status	copyrighted
describes a project that uses	wds:Q62496687-70107551-8D70-45AE-8762-9050664622E7
describes a project that uses	deep learning
Dimensions Publication ID	wds:Q62496687-134769CC-69D6-4430-A7B5-1074C0480239
Dimensions Publication ID	1100727024
PMCID	wds:Q62496687-36B138DC-F680-46FE-8ADF-A47FDB65F6CA
PMCID	6395045
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q62496687
is cites work of	Deep learning for cardiovascular medicine: a practical primer Demonstrating the Value of Outcomes in Echocardiography: Imaging-Based Registries in Improving Patient Care Artificial intelligence in cardiovascular imaging: state of the art and implications for the imaging cardiologist Image analysis and artificial intelligence in infectious disease diagnostics Video-based AI for beat-to-beat assessment of cardiac function Deep learning predicts hip fracture using confounding patient and healthcare variables Artificial Intelligence in Cardiovascular Imaging Machine learning in cardiovascular magnetic resonance: basic concepts and applications Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences Deep learning interpretation of echocardiograms Deep echocardiography: data-efficient supervised and semi-supervised deep learning towards automated diagnosis of cardiac disease Improving ultrasound video classification: an evaluation of novel deep learning methods in echocardiography State-of-the-Art Machine Learning Techniques Aiming to Improve Patient Outcomes Pertaining to the Cardiovascular System Current applications of big data and machine learning in cardiology Toward a Patient-Centered, Data-Driven Cardiology The primary use of artificial intelligence in cardiovascular diseases: what kind of potential role does artificial intelligence play in future medicine? Will Artificial Intelligence Replace the Human Echocardiographer?
is cites work of	wds:Q62489866-384A2B56-5005-442F-917C-163668466B59 wds:Q90345526-5EEEFD9A-0335-4196-A2B2-E8A53CFCD5F8 wds:Q92536279-9C14AC0C-F7BD-4DC7-8841-F418FFC6F432 wds:Q90658341-C9C1C047-8A13-4B6E-B650-3B45DDA49482 wds:Q97520909-09729911-7388-4E9F-92AF-C2C1C0E94CB0 wds:Q90569797-627170EC-581F-48DE-B731-347A8AA56F8C

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