Detalhe da pesquisa
1.
Deep Learning for Echo Analysis, Tracking, and Evaluation of Mitral Regurgitation (DELINEATE-MR).
Circulation
; 2024 Jun 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-38881496
2.
Deep learning to detect left ventricular structural abnormalities in chest X-rays.
Eur Heart J
; 45(22): 2002-2012, 2024 Jun 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-38503537
3.
Effects of confounding and effect-modifying lifestyle, environmental and medical factors on risk of radiation-associated cardiovascular disease.
BMC Public Health
; 24(1): 1601, 2024 Jun 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-38879521
4.
Recovery Rates of Diagnostic Cardiac Procedural Volume in Oceania 1 Year Into COVID-19: The IAEA Non-Invasive Cardiology Protocol Survey on COVID-19 (INCAPS COVID 2).
Heart Lung Circ
; 33(3): 384-391, 2024 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-38365497
5.
Evaluating Radiation Exposure in Patients with Stable Chest Pain in the SCOT-HEART Trial.
Radiology
; 308(2): e221963, 2023 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-37526539
6.
Mitigating bias in deep learning for diagnosis of coronary artery disease from myocardial perfusion SPECT images.
Eur J Nucl Med Mol Imaging
; 50(2): 387-397, 2023 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36194270
7.
Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging.
Eur J Nucl Med Mol Imaging
; 50(9): 2656-2668, 2023 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-37067586
8.
Diagnostic performance characteristics of planar quantitative and semi-quantitative parameters of Tc99m pyrophosphate (PYP) imaging for diagnosis of transthyretin (ATTR) cardiac amyloidosis: the SCAN-MP study.
J Nucl Cardiol
; 30(4): 1414-1419, 2023 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-36823486
9.
Prevalence and significance of extracardiac uptake on pyrophosphate imaging in the SCAN-MP study: the first 379 cases.
J Nucl Cardiol
; 30(6): 2531-2539, 2023 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-37311914
10.
Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients.
BMC Med Inform Decis Mak
; 23(Suppl 1): 40, 2023 02 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-36829139
11.
An Image Quality-informed Framework for CT Characterization.
Radiology
; 302(2): 380-389, 2022 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-34751618
12.
The Impact of Surveillance Imaging Frequency on the Detection of Distant Disease for Patients with Resected Stage III Melanoma.
Ann Surg Oncol
; 29(5): 2871-2881, 2022 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-35142966
13.
Diagnostic reference levels and median doses for common clinical indications of CT: findings from an international registry.
Eur Radiol
; 32(3): 1971-1982, 2022 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-34642811
14.
ASNC Imaging Indications (ASNC-I2): Multisocietal indications for radionuclide imaging in the multimodality context-Series rationale and methodology.
J Nucl Cardiol
; 29(5): 2667-2678, 2022 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-34561848
15.
Machine learning to predict abnormal myocardial perfusion from pre-test features.
J Nucl Cardiol
; 29(5): 2393-2403, 2022 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-35672567
16.
Prevalence and predictors of automatically quantified myocardial ischemia within a multicenter international registry.
J Nucl Cardiol
; 29(6): 3221-3232, 2022 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-35174442
17.
Automated quantitative analysis of CZT SPECT stratifies cardiovascular risk in the obese population: Analysis of the REFINE SPECT registry.
J Nucl Cardiol
; 29(2): 727-736, 2022 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-32929639
18.
Diagnostic safety of a machine learning-based automatic patient selection algorithm for stress-only myocardial perfusion SPECT.
J Nucl Cardiol
; 29(5): 2295-2307, 2022 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-34228341
19.
Comparison of diabetes to other prognostic predictors among patients referred for cardiac stress testing: A contemporary analysis from the REFINE SPECT Registry.
J Nucl Cardiol
; 29(6): 3003-3014, 2022 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-34757571
20.
An Analytic Method for Calculating Scanner-, Kilovoltage Peak-, and Patient Size-Specific Hounsfield Unit Scale Thresholds for Agatston Score.
J Comput Assist Tomogr
; 46(3): 423-433, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35405687