Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank - rationale, challenges and approaches - Wikidata - awgldk - TriplyDB

Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank - rationale, challenges and approaches

Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank - rationale, challenges and approaches

http://www.wikidata.org/entity/Q30634750

about

Atlas-based Anatomical Modeling and Analysis of Heart Disease Big heart data: advancing health informatics through data sharing in cardiovascular imaging Challenges of cardiac image analysis in large-scale population-based studies Images as drivers of progress in cardiac computational modelling.Quantification of LV function and mass by cardiovascular magnetic resonance: multi-center variability and consensus contours.Cardiac imaging: working towards fully-automated machine analysis & interpretation Review of Journal of Cardiovascular Magnetic Resonance 2013 Review of Journal of Cardiovascular Magnetic Resonance 2014.Statistical shape modeling of the left ventricle: myocardial infarct classification challenge.Unraveling the miswired connectome: a developmental perspective Age- and gender-related normal left ventricular deformation assessed by cardiovascular magnetic resonance feature tracking.ESR Position Paper on Imaging Biobanks.Rationale, design, and methods for Canadian alliance for healthy hearts and minds cohort study (CAHHM) - a Pan Canadian cohort study.Population-based imaging biobanks as source of big data.Ethical framework for the detection, management and communication of incidental findings in imaging studies, building on an interview study of researchers' practices and perspectives.Characterisation of liver fat in the UK Biobank cohort.UK Biobank's cardiovascular magnetic resonance protocol.Incidental findings in population imaging revisited Imaging-based characterization of cardiometabolic phenotypes focusing on whole-body MRI--an approach to disease prevention and personalized treatment Atlas-based analysis of cardiac shape and function: correction of regional shape bias due to imaging protocol for population studies.3T MRI investigation of cardiac left ventricular structure and function in a UK population: The tayside screening for the prevention of cardiac events (TASCFORCE) study.Multimodal population brain imaging in the UK Biobank prospective epidemiological study.Population-based studies of myocardial hypertrophy: high resolution cardiovascular magnetic resonance atlases improve statistical power.Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohort.Independent prognostic value of MRI beyond existing methods of determining cardiovascular risk - is there a role?T1 mapping: non-invasive evaluation of myocardial tissue composition by cardiovascular magnetic resonance.Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results.Orthogonal decomposition of left ventricular remodeling in myocardial infarction.Building better biomarkers: brain models in translational neuroimaging.Cardiac image modelling: Breadth and depth in heart disease.Measurement of myocardial native T1 in cardiovascular diseases and norm in 1291 subjects.The impact of cardiovascular risk factors on cardiac structure and function: Insights from the UK Biobank imaging enhancement study.Three-dimensional cardiovascular imaging-genetics: a mass univariate framework.Protocol and quality assurance for carotid imaging in 100,000 participants of UK Biobank: development and assessment.Imaging biobanks in oncology: European perspective.The impact of menopausal hormone therapy (MHT) on cardiac structure and function: Insights from the UK Biobank imaging enhancement study.Myocardial Extracellular Volume Quantification by Cardiovascular Magnetic Resonance and Computed Tomography.Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research.Prevalence and Distribution of Atherosclerosis in a Low- to Intermediate-Risk Population: Assessment with Whole-Body MR Angiography.Prospective association between handgrip strength and cardiac structure and function in UK adults.

P2860

Q28604084-5336B3F8-9F15-4669-8302-D3C944C0C667 Q28607069-DAE1D36F-5503-4A48-9A53-98A0D977564A Q28607072-7499B8F0-25FC-4D00-9088-B230561BAFA0 Q28654354-92D8E66B-1A98-421F-BCE3-384763FD37B0 Q30278953-FE5CD945-6055-47FF-B1B6-E5E7A338788E Q30355490-B319FBA6-2B61-4895-81C9-D388CD81212A Q30487473-60E6A45B-3668-47E6-93F6-A2624146ED7B Q30488573-0F697D77-7286-4F36-802D-71C74DF08CFA Q30490730-D216BD6C-7A1C-47F3-9EDE-40876A74B12B Q34213589-756693B5-8D0D-4FDF-8BFC-768FFF886FBE Q35164550-3B27854D-FB7A-421F-89B6-1FD6DF4F9A7E Q35902278-CCADB9D7-4C9F-4DF5-B5A7-1C3C60B3B612 Q36087571-FD04FF1C-0556-4471-8CF0-E0F71C273F7A Q36129117-6F598E78-E344-4962-B0A0-17ADC48E039E Q36272172-99D5C4A0-1FD0-47B6-A0D5-D65A2FAE6DE6 Q36291704-99A4B892-C215-4034-8588-984EAE1F604B Q36531212-093D8379-25D5-40D1-90E8-9722CDAA5718 Q36586857-02BD333A-8247-4A20-969A-CE23F65AD364 Q37178900-2609188B-E202-4B2C-AFF6-4297F67E408E Q37359964-52AE7B73-4032-4FC9-93A6-8C7D573073E4 Q37371062-D8247765-EA9E-4F75-8AF0-1E136C695A04 Q37378043-20BEBBB6-D042-443B-998F-46F949994319 Q37557745-983954B3-FCB4-42D8-A794-C55F5B6170E5 Q37638373-9A05C40A-7145-4967-A9BE-037299D99E53 Q38168946-8C2480E7-9162-41FD-BCDE-F419FA585D6F Q38270769-8B2542C1-9A7C-4CB0-9117-2FDA06D3BAF5 Q38637915-EAFDCACE-8D1F-4EEC-AFEB-9400CE846AFD Q38887363-C558E2F5-2801-401A-98AE-AE7892175EAB Q38946143-D923B886-E43F-47E4-91BE-CF433DC1DA29 Q41652948-972F429A-BD7E-49ED-AB16-23EB0278C53C Q42365793-FA499A26-B0D9-46C9-B799-84BDE0FBDDFB Q42369458-FD2AC41D-7BB5-48EC-ACB4-C63874B16202 Q47317140-59256213-1D4A-4CC0-8429-F8E4497CB4C8 Q47660333-7E8CEB55-822B-4F24-B676-B662F5F1BF3A Q48071853-EC812A73-F353-4BAC-8AAB-2893E8EEA0C2 Q52666783-5464D7EF-57F7-4DCB-9B74-67A0849314AD Q52670629-7C3C0F39-E5C1-47A7-9949-F4C7710D1533 Q52683141-B14BD712-86FF-41F0-B7F3-D03450E5065A Q55114347-A25FD5CE-EFDD-4485-971E-20EAC4969113 Q55286175-19C81BB2-7F2A-448A-8ECC-490321DF2A8C

P2860

Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank - rationale, challenges and approaches

http://www.wikidata.org/entity/Q30634750

description

2013 nî lūn-bûn

@nan

2013 թուականի Մայիսին հրատարակուած գիտական յօդուած

@hyw

2013 թվականի մայիսին հրատարակված գիտական հոդված

@hy

2013年の論文

@ja

2013年学术文章

@wuu

2013年学术文章

@zh-cn

2013年学术文章

@zh-hans

2013年学术文章

@zh-my

2013年学术文章

@zh-sg

2013年學術文章

@yue

name

Imaging in population science: ...... ale, challenges and approaches

@ast

Imaging in population science: ...... ale, challenges and approaches

@en

Imaging in population science: ...... ale, challenges and approaches

@en-gb

type

label

Imaging in population science: ...... ale, challenges and approaches

@ast

Imaging in population science: ...... ale, challenges and approaches

@en

Imaging in population science: ...... ale, challenges and approaches

@en-gb

prefLabel

Imaging in population science: ...... ale, challenges and approaches

@ast

Imaging in population science: ...... ale, challenges and approaches

@en

Imaging in population science: ...... ale, challenges and approaches

@en-gb

P1433

Q30634750-D3A3533A-4156-430D-A431-A5303A3D13CF

P1476

Q30634750-B525583B-4DBF-42E3-8A70-80F894AE6861

P2093

Q30634750-169B7FC4-C3B8-4EC1-9F02-FEE2675BFC7D

Q30634750-41B0A76B-B701-43BA-8E90-0113094A085F

Q30634750-61E8F90D-77B3-49B2-91D2-0D00733C0DFB

Q30634750-698BB66F-1831-496D-9A2E-B78E119E89C3

Q30634750-729C8755-69E8-4EB8-90D4-75C29EA4855D

Q30634750-7C69BF8A-E984-4EF5-9876-87AC5FAFFA90

Q30634750-84CA1FBE-AC71-4C10-9F0C-95B4E2B58697

P2860

Q30634750-03212C01-23F9-4DC7-AD41-BF507FA1E847

Q30634750-0CB8A782-3F26-4CD2-8A28-9E36FA80939F

Q30634750-14FCD961-70FC-49A5-BB8E-2219C9331D2D

Q30634750-17841708-EABC-4E55-90BC-650B75EDC0D9

Q30634750-18632AAE-DAC5-479C-964B-88491D103D4D

Q30634750-1C0E18F5-6622-4C5F-8894-4438556FE727

Q30634750-255D303F-A6FE-4F1A-B3A3-C8B8D32601A6

Q30634750-37D39875-320F-4BFE-9953-753DCC737F18

Q30634750-4D828528-CB87-44FB-966C-BD2FBDBBA8A2

Q30634750-56406E72-1279-4DDD-AA95-9586B5B73EBC

P2888

Q30634750-E5701B52-5194-44E0-8B1D-71124526B25E

P304

Q30634750-6C7A1B26-1D51-412D-A523-E2BB6459E9B6

P31

Q30634750-44127D64-E2F6-4286-8081-7DB811A57D45

P356

Q30634750-ABD530B0-C5A0-4081-8DA0-FBAB62186815

P478

Q30634750-3BD41F68-E8E5-410F-8B51-5A86A0C3C815

P50

Q30634750-15DA93E9-5CD3-4FDD-AC65-1D783D307B10

Q30634750-2DC98429-CAE9-4654-80F2-1D4D91A7291B

Q30634750-39041877-4FD5-4959-A658-3DA7D5A0B0C5

Q30634750-3AA737EC-44E9-4379-A195-0797F34F5D06

Q30634750-767B5E62-722A-4B44-A02A-158BE044AA33

Q30634750-7AFE7FBD-3A14-4375-BED5-0A0A77AEC319

Q30634750-7E5898DB-2283-4942-803D-7419E118A320

Q30634750-A10A57EF-AA5F-49CA-B4BD-23ED3D1767DD

Q30634750-BC59F274-04C7-478A-8A5E-47D2E7BA203E

Q30634750-ECD75CC7-8735-422F-872E-E376FF517A5C

P577

Q30634750-634D4F1B-5797-45E5-BAF6-302FB8488D40

P6179

Q30634750-9DC38BCD-2360-481D-8538-A9F268CFC885

P698

Q30634750-DA07F740-5DD2-4272-A16F-9BE75FD2B4E7

P921

Q30634750-3E9AE147-77B9-44B3-9A83-3E1BEB5ED7F2

Q30634750-938DE082-D86A-4C2A-B32C-065AA0113EE7

P932

Q30634750-73FD9416-F5E6-4DBD-A21F-74DB6DF1B523

P356

1532-429X-15-46

P1433

Journal of Cardiovascular Magnetic Resonance

P1476

Imaging in population science: ...... ale, challenges and approaches

@en

P2093

Fabian Bamberg

http://www.w3.org/2001/XMLSchema#string

Frank E Rademakers

http://www.w3.org/2001/XMLSchema#string

Jonathan Sellors

http://www.w3.org/2001/XMLSchema#string

Matthias G Friedrich

http://www.w3.org/2001/XMLSchema#string

Paul Leeson

http://www.w3.org/2001/XMLSchema#string

Rory Collins

http://www.w3.org/2001/XMLSchema#string

Tim Peakman

http://www.w3.org/2001/XMLSchema#string

P2860

Traditional cardiovascular risk factors in relation to left ventricular mass, volume, and systolic function by cardiac magnetic resonance imaging: the Multiethnic Study of Atherosclerosis.

Carotid artery atherosclerosis, MRI indices of brain ischemia, aging, and cognitive impairment: the Framingham study

Non-contrast T1-mapping detects acute myocardial edema with high diagnostic accuracy: a comparison to T2-weighted cardiovascular magnetic resonance.

Shortened Modified Look-Locker Inversion recovery (ShMOLLI) for clinical myocardial T1-mapping at 1.5 and 3 T within a 9 heartbeat breathhold

Cardiovascular imaging for assessing cardiovascular risk in asymptomatic men versus women: the multi-ethnic study of atherosclerosis (MESA).

Relation of left ventricular ejection fraction to cognitive aging (from the Framingham Heart Study)

Cardiovascular magnetic resonance by non contrast T1-mapping allows assessment of severity of injury in acute myocardial infarction.

MRI detects increased coronary wall thickness in asymptomatic individuals: the multi-ethnic study of atherosclerosis (MESA).

Relation of aortic wall thickness and distensibility to cardiovascular risk factors (from the Multi-Ethnic Study of Atherosclerosis [MESA])

Left ventricular hypertrophy in mild and moderate reduction in kidney function determined using cardiac magnetic resonance imaging and cystatin C: the multi-ethnic study of atherosclerosis (MESA)

P2888

1532-429x-15-46

P304

46

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1186/1532-429X-15-46

http://www.w3.org/2001/XMLSchema#string

P478

15

http://www.w3.org/2001/XMLSchema#string

P50

David A. Bluemke

Steffen E Petersen

Paul M. Matthews

Stefan Neubauer

P577

2013-05-28T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P6179

1039789503

http://www.w3.org/2001/XMLSchema#string

P698

23714095

http://www.w3.org/2001/XMLSchema#string

P921

Aparato circulatorio

P932

3668194

http://www.w3.org/2001/XMLSchema#string