about
Evaluating the Atrial Myopathy Underlying Atrial Fibrillation: Identifying the Arrhythmogenic and Thrombogenic SubstrateCardiomyocytes induce macrophage receptor shedding to suppress phagocytosisThe Cardiac Atlas Project--an imaging database for computational modeling and statistical atlases of the heartLeakage and water exchange characterization of gadofosveset in the myocardium.Velocity quantification by electrocardiography-gated phase contrast magnetic resonance imaging in patients with cardiac arrhythmia: a simulation study based on real time transesophageal echocardiography data in atrial fibrillation.Systemic sclerosis and the heart: current diagnosis and management.Diastolic wall strain: a simple marker of abnormal cardiac mechanics.Atlas-based quantification of cardiac remodeling due to myocardial infarction.Novel MRI-derived quantitative biomarker for cardiac function applied to classifying ischemic cardiomyopathy within a Bayesian rule learning framework.Time elapsed after contrast injection is crucial to determine infarct transmurality and myocardial functional recovery after an acute myocardial infarction.The feasibility of imaging myocardial ischemic/reperfusion injury using (99m)Tc-labeled duramycin in a porcine model.Optimized AIR and investigational MOLLI cardiac T1 mapping pulse sequences produce similar intra-scan repeatability in patients at 3T.A Comparison of Theory-Based and Experimentally Determined Myocardial Signal Intensity Correction Methods in First-Pass Perfusion Magnetic Resonance ImagingInfarct healing is a dynamic process following acute myocardial infarction.Information maximizing component analysis of left ventricular remodeling due to myocardial infarction.Left Atrial 4-Dimensional Flow Magnetic Resonance Imaging: Stasis and Velocity Mapping in Patients With Atrial FibrillationThe Kinetics of Circulating Monocyte Subsets and Monocyte-Platelet Aggregates in the Acute Phase of ST-Elevation Myocardial Infarction: Associations with 2-Year Cardiovascular EventsA collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images.Atlas-based analysis of cardiac shape and function: correction of regional shape bias due to imaging protocol for population studies.Quantification of absolute myocardial blood flow by magnetic resonance perfusion imaging.MerTK Cleavage on Resident Cardiac Macrophages Compromises Repair after Myocardial Ischemia Reperfusion Injury.Virtual electrophysiological study in a 3-dimensional cardiac magnetic resonance imaging model of porcine myocardial infarction.Left Atrial and Left Atrial Appendage 4D Blood Flow Dynamics in Atrial Fibrillation.Myocardial perfusion magnetic resonance imaging using sliding-window conjugate-gradient HYPR methods in canine with stenotic coronary arteries.Three-dimensional left atrial blood flow characteristics in patients with atrial fibrillation assessed by 4D flow CMR.Absolute quantification of myocardial blood flow with constrained estimation of the arterial input function.Plasminogen Activator Inhibitor Type I Controls Cardiomyocyte Transforming Growth Factor-β and Cardiac Fibrosis.Cardiac MR feature tracking identifies abnormal biventricular global strain values in biopsy-proven non-ischemic cardiomyopathies.Assessment of left atrial and left atrial appendage flow and stasis in atrial fibrillation.Validation of highly accelerated real-time cardiac cine MRI with radial k-space sampling and compressed sensing in patients at 1.5T and 3T.Association of nonmyeloablative hematopoietic stem cell transplantation with neurological disability in patients with relapsing-remitting multiple sclerosis.An empirical method for reducing variability and complexity of myocardial perfusion quantification by dual bolus cardiac MRI.Response to Letter Regarding Article, "Evaluating the Atrial Myopathy Underlying Atrial Fibrillation: Identifying the Arrhythmogenic and Thrombogenic Substrate".Assessment of left and right atrial 3D hemodynamics in patients with atrial fibrillation: a 4D flow MRI study.Probing transmural myocardial perfusion with CMR.Real time flow imaging in atrial fibrillation.Cardiac MR reliably identifies patients with clinically significant left ventricular noncompaction using a novel mass quantification technique.Left Ventricular Segmentation Challenge from Cardiac MRI: A Collation StudyThe Cardiac Atlas Project: Rationale, Design and ProceduresContinuous Spatio-temporal Atlases of the Asymptomatic and Infarcted Hearts
P50
Q26799163-DC4364A4-0960-48A5-B525-A58BC2F3FB8CQ27302322-6E75F365-A9EB-412A-882E-065952DEB8FBQ28741811-1CC6C37C-5196-4F4D-BACA-446AFB586FDEQ30732433-0E730DB1-66A0-43B1-A947-D1F7B233E93DQ30952393-2C5C853D-F259-4FAC-A28D-3526A56C4BA6Q34012584-8C1A5701-71AE-4062-92A8-4BEF8A45A49BQ34340475-DD22677D-C306-475F-B369-4285239E318CQ34434074-72F15901-A03D-47DC-B671-32D4BDCA2406Q35634542-AE26A4FB-13F2-41D2-8CAD-1725A36843D4Q35666931-1A450356-7270-4E24-9FD8-CEDC9B0D04E9Q36060711-0E49E2C9-A5C4-4866-8A98-D325AA7948EDQ36122843-CF0E41A7-6675-4A11-9104-9375252AD298Q36160355-78C6A669-E60F-437A-9893-F8DB8AEAA721Q36237173-A1FE6280-B44C-423E-A15E-048605FFC56CQ36246547-67B994F1-75F9-4FC4-B22C-446D567D7BA0Q36547460-17ADBC37-1155-49CF-8151-C1CA8018667EQ36891776-EC820D8F-91FB-4168-B42B-98F36D2A5B02Q37341531-EDCE92E5-F321-40FC-A67E-82229C1D71C8Q37359964-39731828-FA2F-4766-A291-827B2B48DCFFQ37516791-E9DEB5E4-70A1-4C57-B7B0-6362141C7715Q38603141-F8BD70F1-0B89-4560-B98A-44676456FF3BQ39612848-9EDC1061-A9C5-4B2E-A7BB-4F33C54CE47AQ41065525-5C0EBC22-3F77-4D9D-B6DB-C46F71AEDF44Q42418524-AE7327A7-DEBF-44B0-9F14-34333E7BCA72Q42677834-B7456449-1413-4DAA-A02F-231F11B3BA53Q43668411-AEF396D6-0D92-45E5-A0AE-BC3A46C7F935Q45868567-136F2E20-CC62-4569-AC04-811357FDD40AQ46670750-03D474A3-5733-410B-80A7-F1D59EC245A3Q46704764-9165894D-1EA4-44E2-AC39-383393E849C2Q47664057-7235A424-E334-4E89-AA76-BF9BAA24F4F8Q48368793-1E093825-A09D-42EE-AB35-7A9E47C59E9DQ48682723-8E5F3AAE-3483-4EDC-A1E9-B285759010CFQ50428573-EE384FF9-D987-40DC-B8ED-A97D186818D7Q51543782-F1D4F2C1-2B12-4387-882B-2F2EA6B511F5Q53083034-30751690-A46B-46F8-A2FD-7F9BADECFAECQ55101492-7D913E67-BB0E-4D01-BB24-DFFAB284BAF6Q55334248-CB15C19F-6330-4F84-8EF2-2132396E9971Q57241894-1AF33DF5-98F2-44EC-B149-51019D98DBEBQ57594616-20CC051B-A62F-4EC0-A521-472D65F45A9BQ57736002-D379E125-BA8F-44CE-B1FC-7CFAD7275CA1
P50
description
hulumtues
@sq
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Daniel C. Lee
@ast
Daniel C. Lee
@br
Daniel C. Lee
@co
Daniel C. Lee
@da
Daniel C. Lee
@de
Daniel C. Lee
@en
Daniel C. Lee
@es
Daniel C. Lee
@fr
Daniel C. Lee
@id
Daniel C. Lee
@it
type
label
Daniel C. Lee
@ast
Daniel C. Lee
@br
Daniel C. Lee
@co
Daniel C. Lee
@da
Daniel C. Lee
@de
Daniel C. Lee
@en
Daniel C. Lee
@es
Daniel C. Lee
@fr
Daniel C. Lee
@id
Daniel C. Lee
@it
altLabel
DC Lee
@en
Dan C. Lee
@en
Daniel C. Lee
@en
Daniel Lee
@br
Daniel Lee
@co
Daniel Lee
@da
Daniel Lee
@de
Daniel Lee
@en
Daniel Lee
@es
Daniel Lee
@fr
prefLabel
Daniel C. Lee
@ast
Daniel C. Lee
@br
Daniel C. Lee
@co
Daniel C. Lee
@da
Daniel C. Lee
@de
Daniel C. Lee
@en
Daniel C. Lee
@es
Daniel C. Lee
@fr
Daniel C. Lee
@id
Daniel C. Lee
@it
P106
P1153
13806507700
P21
P2456
P31
P496
0000-0001-9447-4175