Design and validation of Segment--freely available software for cardiovascular image analysis. - Wikidata - awgldk - TriplyDB

Design and validation of Segment--freely available software for cardiovascular image analysis.

Design and validation of Segment--freely available software for cardiovascular image analysis.

http://www.wikidata.org/entity/Q33523178

about

Multi-atlas segmentation of biomedical images: A survey Characterization of regional left ventricular function in nonhuman primates using magnetic resonance imaging biomarkers: a test-retest repeatability and inter-subject variability study Riociguat reduces infarct size and post-infarct heart failure in mouse hearts: insights from MRI/PET imaging Complex I deficiency due to selective loss of Ndufs4 in the mouse heart results in severe hypertrophic cardiomyopathy Multiparametric CMR imaging of infarct remodeling in a percutaneous reperfused Yucatan mini-pig model.Effect of Scar Compaction on the Therapeutic Efficacy of Anisotropic Reinforcement Following Myocardial Infarction in the Dog.Right ventricular ejection fraction measurements using two-dimensional transthoracic echocardiography by applying an ellipsoid model.Quantification of aortic stenosis diagnostic parameters: comparison of fast 3 direction and 1 direction phase contrast CMR and transthoracic echocardiography Vortex ring behavior provides the epigenetic blueprint for the human heart.Postprocedure mapping of cardiac resynchronization lead position using standard fluoroscopy systems: implications for the nonresponder with scar.Feasibility of asymmetric stretch assessment in the ascending aortic wall with DENSE cardiovascular magnetic resonance.Cardiovascular magnetic resonance of cardiac function and myocardial mass in preterm infants: a preliminary study of the impact of patent ductus arteriosus.Manual correction of semi-automatic three-dimensional echocardiography is needed for right ventricular assessment in adults; validation with cardiac magnetic resonance.Validation of an automated method to quantify stress-induced ischemia and infarction in rest-stress myocardial perfusion SPECT.Comprehensive 4D velocity mapping of the heart and great vessels by cardiovascular magnetic resonance Myocardium at risk by magnetic resonance imaging: head-to-head comparison of T2-weighted imaging and contrast-enhanced steady-state free precession Longitudinal strain from velocity encoded cardiovascular magnetic resonance: a validation study.Restoration of optimal ellipsoid left ventricular geometry: lessons learnt from in silico surgical modelling Performance of 3D, navigator echo-gated, contrast-enhanced, magnetic resonance coronary vein imaging in patients undergoing CRT.Validation and Development of a New Automatic Algorithm for Time-Resolved Segmentation of the Left Ventricle in Magnetic Resonance Imaging.Titin-truncating variants affect heart function in disease cohorts and the general population.The vascular Ca2+-sensing receptor regulates blood vessel tone and blood pressure Hydraulic forces contribute to left ventricular diastolic filling Point mutations in murine Nkx2-5 phenocopy human congenital heart disease and induce pathogenic Wnt signaling.High resolution hemodynamic profiling of murine arteriovenous fistula using magnetic resonance imaging and computational fluid dynamics.Decreased Diastolic Ventricular Kinetic Energy in Young Patients with Fontan Circulation Demonstrated by Four-Dimensional Cardiac Magnetic Resonance Imaging.Comparison of NOGA endocardial mapping and cardiac magnetic resonance imaging for determining infarct size and infarct transmurality for intramyocardial injection therapy using experimental data.Automatic Cardiac Self-Gating of Small-Animal PET Data.Effects of contour propagation and background corrections in different MRI flow software packages Automatic extraction of forward stroke volume using dynamic PET/CT: a dual-tracer and dual-scanner validation in patients with heart valve disease.Left ventricular fluid kinetic energy time curves in heart failure from cardiovascular magnetic resonance 4D flow data.A new automatic algorithm for quantification of myocardial infarction imaged by late gadolinium enhancement cardiovascular magnetic resonance: experimental validation and comparison to expert delineations in multi-center, multi-vendor patient data Toward translating near-infrared spectroscopy oxygen saturation data for the non-invasive prediction of spatial and temporal hemodynamics during exercise.Chronic non-transmural infarction has a delayed recovery of function following revascularization.Serum Biomarkers of Myocardial Remodeling and Coronary Dysfunction in Early Stages of Hypertrophic Cardiomyopathy in the Young.Moderate intensity supine exercise causes decreased cardiac volumes and increased outer volume variations: a cardiovascular magnetic resonance study.Infarct quantification using 3D inversion recovery and 2D phase sensitive inversion recovery; validation in patients and ex vivo Relation between cardiac dimensions and peak oxygen uptake.Treatment with the C5a receptor antagonist ADC-1004 reduces myocardial infarction in a porcine ischemia-reperfusion model.Cardiac magnetic resonance in patients with acute cardiac injury and unobstructed coronary arteries.

P2860

Q26825130-13355B53-20A2-404C-8FFC-057945B328B6 Q27306035-C0339E4D-4CE8-4AE7-9AE9-5C5DAA48E816 Q27336286-546E940A-1BE8-4BE7-B7DE-4715B169A03F Q27342864-CD507BE0-7AF3-404A-94B3-6B81BBB41CA7 Q30274835-BED5AE56-8EA9-4556-8AC6-029409F9FB07 Q30279182-17B27ED2-508A-4696-ADC8-A1E4565C55FF Q30361279-8595111F-184B-4D79-86ED-6539B66B25DB Q30361308-2CDC311C-C115-4C7A-86CB-4E501C510621 Q30389372-C520BEAB-2B8A-4F24-99E3-3A62A2CC1C54 Q30412516-B423582D-F771-4872-9ED5-77B8B6AC9915 Q30415244-52FF023D-248B-4AE7-BE3F-66916E0E4AE9 Q30432269-98C2F8EA-F021-4D10-9D6E-C6F0AAFA08EC Q30465617-C42407A7-8F76-461A-91C4-6A9A2140329C Q30486754-D3E24C0A-107C-4D7B-ACFB-DB5C2D1246B2 Q30497981-744F498B-C3F1-4555-8972-DFD6A71E6585 Q30528281-482943AC-D772-4284-9C87-FA85A522ECE0 Q30533926-D8F90C94-6829-41AE-954D-ED4FB452886A Q30565415-CF71EAF2-0655-4B48-B5D4-183438FD08B8 Q30591084-45F7FA33-8B19-41A8-A1BF-A7354E82C0D1 Q30656655-54E9C170-19DB-4F7D-8BF5-E687C92A2201 Q30833466-81DE3FFF-BD19-48B2-8684-95F17C774C86 Q30835393-F11CFA3A-163E-4387-A422-9C924E8D421A Q30840531-DC305564-41B2-4B40-9B1D-9B89E705D865 Q30842375-4D6AB095-406D-400E-912B-C1B5880CDA8B Q30842496-F8C6AF39-A765-45F8-8750-E1DAE4BDA194 Q30844988-E900099F-7C4B-46B5-949D-E549534E8240 Q30870579-F71ACABE-3E79-4C91-B724-4D55C8ACA252 Q30967948-39FB3BEE-AE80-4524-80E4-62DE7F489007 Q30992025-338C0510-95CB-4FC7-9822-7BA6C1B01F7D Q31011278-487D29B0-2B50-45FA-9C7F-97915D7AB360 Q31032964-00D8E280-FE96-43E2-85DD-31660136A5D0 Q31090542-904D8C55-570B-4804-8656-E0B19711139E Q31112306-3A507545-FE09-4059-8436-18FDCFD44923 Q33524903-9519651F-2C29-459B-BDEE-4F2E45A7EBA3 Q33554999-F5714CA3-D518-4060-8699-B1A8D4DC5191 Q33588374-2B37518D-5DB0-495E-ADD7-FE30ADDD4978 Q33644184-FD68124B-BB1C-4DEC-A2B3-F676604B1F9A Q33672103-1CFCDF53-6696-4DC5-830B-F5EDE2E7DC3B Q33704554-8B9553F7-A772-4786-9A6D-9307FD8916B3 Q33854856-1F29E6C6-B1E1-4409-BF77-E5DC6D93121E

P2860

Design and validation of Segment--freely available software for cardiovascular image analysis.

http://www.wikidata.org/entity/Q33523178

description

2010 nî lūn-bûn

@nan

2010 թուականի Յունուարին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի հունվարին հրատարակված գիտական հոդված

@hy

2010年の論文

@ja

2010年論文

@yue

2010年論文

@zh-hant

2010年論文

@zh-hk

2010年論文

@zh-mo

2010年論文

@zh-tw

2010年论文

@wuu

name

Design and validation of Segme ...... cardiovascular image analysis.

@ast

Design and validation of Segme ...... cardiovascular image analysis.

@en

Design and validation of Segme ...... cardiovascular image analysis.

@nl

type

label

Design and validation of Segme ...... cardiovascular image analysis.

@ast

Design and validation of Segme ...... cardiovascular image analysis.

@en

Design and validation of Segme ...... cardiovascular image analysis.

@nl

prefLabel

Design and validation of Segme ...... cardiovascular image analysis.

@ast

Design and validation of Segme ...... cardiovascular image analysis.

@en

Design and validation of Segme ...... cardiovascular image analysis.

@nl

P1433

Q33523178-7177B0ED-5EE2-4C5A-B6FF-27D59CFF4F53

P1476

Q33523178-1A1CDBC3-11F2-4719-B569-C2CBB79F8237

P2093

Q33523178-0486797C-79FA-410C-850D-F154E92BA81F

Q33523178-CEA31A1F-AB0F-4457-B209-E81AF4F82BC0

Q33523178-EC6B0EF6-5798-4F14-A81A-0D952B80A4AA

P2860

Q33523178-0B162A82-5D8E-4594-BA01-01AF9897EB8E

Q33523178-16B49BF7-1EA0-4855-9BC4-1B1E435BB316

Q33523178-21CCF823-3FCB-4833-B176-DA059F84773A

Q33523178-25C5AC5B-1DFF-4D5B-BAD7-EC422C2F8734

Q33523178-2DB390CB-94E6-4A6B-A1FB-27F1C9DF6D50

Q33523178-310491C6-4872-433A-9C23-EE813C62D283

Q33523178-38696972-8E5C-4642-A5CC-E7AB7D185576

Q33523178-483BD931-99AD-446E-935D-1B92F843F644

Q33523178-4D1C0D08-37E3-498C-9418-C4CC6036A480

Q33523178-4E528D6F-3766-4EE2-81EC-4366BF5E114A

P2888

Q33523178-2044CE54-8800-4E32-A647-3D86E694A3D2

P304

Q33523178-DF34B6C6-CE3C-41FA-83FE-8DEB35F7B986

P31

Q33523178-4B35C84F-0A61-434C-A3B9-FEEB32F80F0E

P356

Q33523178-778BD839-3014-4D44-92FC-EC6235451771

P478

Q33523178-3211D9AD-A607-44F8-85A6-2FADDF9AB46E

P50

Q33523178-499E0AA8-4E0D-49D2-BE44-2F0F9A6EFA8E

Q33523178-4AC05D5C-4DEB-4155-ADFA-73124B6AC9F4

Q33523178-6BCD378D-071C-4D27-9476-A3AA74C0C8F6

P577

Q33523178-2DF11A7B-5A31-4D22-B60F-EFA96B2FCFD9

P5875

Q33523178-557C6725-832A-4866-A598-FD51F94B5436

P6179

Q33523178-8EB138CE-3852-48D8-9FB1-046F53F2D065

P698

Q33523178-05AE970F-754D-46BC-83D9-1F5C598E55BF

P921

Q33523178-9D4815A1-C962-4EFE-BD5B-6F2CF1C0609A

P932

Q33523178-68BA22DA-8678-4B0D-B64C-418C965429C6

P356

P1433

BMC Medical Imaging

P1476

Design and validation of Segme ...... cardiovascular image analysis.

@en

P2093

Henrik Engblom

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

Marcus Carlsson

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

Martin Ugander

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

P2860

Internet image viewer (iiV)

Quantitative MR measurements of regional and global left ventricular function and strain after intramyocardial transfer of VM202 into infarcted swine myocardium

Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association.

Hemodynamic effects of vacuum-assisted closure therapy in cardiac surgery: assessment using magnetic resonance imaging.

Cardiac magnetic resonance imaging in small rodents using clinical 1.5 T and 3.0 T scanners.

Myocardial microinfarction after coronary microembolization in swine: MR imaging characterization.

Infarct evolution in man studied in patients with first-time coronary occlusion in comparison to different species - implications for assessment of myocardial salvage.

Measurement of the distribution volume of gadopentetate dimeglumine at echo-planar MR imaging to quantify myocardial infarction: comparison with 99mTc-DTPA autoradiography in rats.

An integrated visualization system for surgical planning and guidance using image fusion and an open MR.

The medical imaging interaction toolkit.

P2888

P304

1

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

P31

scholarly article

P356

10.1186/1471-2342-10-1

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

P478

10

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

P50

P577

2010-01-11T00:00:00Z

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

P5875

40906865

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

P6179

1031508374

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

P698

20064248

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

P921

Aparato circulatorio

P932

2822815

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