Detalhe da pesquisa
1.
Metabolic syndrome, fatty liver, and artificial intelligence-based epicardial adipose tissue measures predict long-term risk of cardiac events: a prospective study.
Cardiovasc Diabetol
; 20(1): 27, 2021 01 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-33514365
2.
Epicardial and intra-thoracic adipose tissue and cardiovascular calcifications in type 1 diabetes (T1D) in epidemiology of diabetes Interventions and Complications (EDIC): A pilot study.
Am J Prev Cardiol
; 18: 100650, 2024 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-38584607
3.
Use of noninvasive imaging in the evaluation of coarctation of aorta.
J Comput Assist Tomogr
; 37(1): 75-8, 2013.
Artigo
em Inglês
| MEDLINE | ID: mdl-23321836
4.
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional long short-term memory networks.
J Med Imaging (Bellingham)
; 9(5): 054001, 2022 Sep.
Artigo
em Inglês
| MEDLINE | ID: mdl-36090960
5.
Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study.
Lancet Digit Health
; 4(4): e256-e265, 2022 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-35337643
6.
Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks.
ArXiv
; 2021 Mar 31.
Artigo
em Inglês
| MEDLINE | ID: mdl-33821209
7.
Epicardial adipose tissue is associated with extent of pneumonia and adverse outcomes in patients with COVID-19.
Metabolism
; 115: 154436, 2021 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-33221381
8.
Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study.
Atherosclerosis
; 318: 76-82, 2021 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-33239189
9.
Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects.
Circ Cardiovasc Imaging
; 13(2): e009829, 2020 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-32063057
10.
Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study.
Cardiovasc Res
; 116(14): 2216-2225, 2020 12 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31853543
11.
Quantitative Burden of COVID-19 Pneumonia on Chest CT Predicts Adverse Outcomes: A Post-Hoc Analysis of a Prospective International Registry.
Radiol Cardiothorac Imaging
; 2(5): e200389, 2020 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-33778629
12.
Fully Automated CT Quantification of Epicardial Adipose Tissue by Deep Learning: A Multicenter Study.
Radiol Artif Intell
; 1(6): e190045, 2019 Nov 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-32090206
13.
Relationship between changes in pericoronary adipose tissue attenuation and coronary plaque burden quantified from coronary computed tomography angiography.
Eur Heart J Cardiovasc Imaging
; 20(6): 636-643, 2019 Jun 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-30789223
14.
Extra-coronary calcification (aortic valve calcification, mitral annular calcification, aortic valve ring calcification and thoracic aortic calcification) in HIV seropositive and seronegative men: Multicenter AIDS Cohort Study.
J Cardiovasc Comput Tomogr
; 10(3): 229-236, 2016.
Artigo
em Inglês
| MEDLINE | ID: mdl-26949197
15.
Epicardial fat is associated with duration of antiretroviral therapy and coronary atherosclerosis.
AIDS
; 28(11): 1635-44, 2014 Jul 17.
Artigo
em Inglês
| MEDLINE | ID: mdl-24809732