X
Search Filters
Format Format
Subjects Subjects
Subjects Subjects
X
Sort by Item Count (A-Z)
Filter by Count
index medicus (135) 135
humans (120) 120
female (119) 119
male (119) 119
cardiac & cardiovascular systems (114) 114
middle aged (112) 112
cardiovascular (105) 105
risk factors (92) 92
prognosis (80) 80
aged (79) 79
radiology, nuclear medicine & medical imaging (74) 74
angiography (65) 65
coronary artery disease - diagnostic imaging (62) 62
atherosclerosis (61) 61
internal medicine (61) 61
cardiovascular disease (57) 57
coronary artery disease (55) 55
coronary angiography - methods (54) 54
coronary heart disease (53) 53
ct imaging (49) 49
cardiology (44) 44
mortality (43) 43
predictive value of tests (43) 43
calcification (42) 42
tomography, x-ray computed (41) 41
severity of illness index (37) 37
medical imaging (36) 36
coronary artery disease - mortality (34) 34
coronary vessels (33) 33
registries (33) 33
adult (31) 31
prospective studies (31) 31
calcium (30) 30
computed tomography (30) 30
risk assessment (30) 30
artery-disease (29) 29
ischemia (29) 29
quantification (29) 29
cardiology and cardiovascular medicine (26) 26
coronary angiography (26) 26
coronary computed tomography angiography (26) 26
risk (26) 26
heart attacks (25) 25
prediction (25) 25
proportional hazards models (25) 25
coronary artery disease - epidemiology (24) 24
computed-tomography (23) 23
coronary artery disease - diagnosis (23) 23
coronary vessels - diagnostic imaging (23) 23
ct angiography (23) 23
prevalence (23) 23
prognostic value (23) 23
reproducibility of results (23) 23
abridged index medicus (22) 22
computed tomography angiography (22) 22
follow-up studies (21) 21
time factors (21) 21
all-cause mortality (20) 20
clinical-outcomes (20) 20
coronary stenosis - diagnostic imaging (20) 20
usage (20) 20
cardiac patients (18) 18
disease (18) 18
heart-disease (18) 18
medical colleges (18) 18
medicine & public health (18) 18
age (17) 17
confidence intervals (17) 17
diagnosis (17) 17
imaging / radiology (17) 17
myocardial-infarction (17) 17
peripheral vascular disease (17) 17
retrospective studies (17) 17
coronary artery disease - complications (16) 16
fractional flow reserve (16) 16
logistic models (16) 16
nuclear medicine (16) 16
radiology nuclear medicine and imaging (16) 16
risk-factors (16) 16
roc curve (16) 16
tomography (16) 16
association (15) 15
computed tomographic angiography (15) 15
diabetes (15) 15
health risk assessment (15) 15
sensitivity and specificity (15) 15
tomography, x-ray computed - methods (15) 15
analysis (14) 14
cardiovascular diseases (14) 14
computed tomography angiography - methods (14) 14
diagnostic performance (14) 14
health aspects (14) 14
heart (14) 14
heart diseases (14) 14
hypertension (14) 14
risk assessment - methods (14) 14
vascular calcification - diagnostic imaging (14) 14
algorithms (13) 13
coronary ct angiography (13) 13
coronary-artery-disease (13) 13
more...
Language Language
Publication Date Publication Date
Click on a bar to filter by decade
Slide to change publication date range


Journal Article
Journal Article
JACC (Journal of the American College of Cardiology), ISSN 0735-1097, 2016, Volume 67, Issue 13, pp. 1759 - 1759
Background Coronary Artery Calcification is a strong predictor of cardiovascular (CV) events, but dense calcified plaque has been thought to play a stabilizing... 
Cardiovascular | Internal Medicine | Ischemia | Specific gravity | Calcium | Calcification
Journal Article
Journal of the American College of Cardiology, ISSN 0735-1097, 2018, Volume 71, Issue 22, pp. 2511 - 2522
Journal Article
European radiology, ISSN 1432-1084, 2018, Volume 28, Issue 6, pp. 2655 - 2664
... & Sara Gaur 2 & Kristian A. Ovrehus 2 & Piotr J. Slomka 3 & Julian Betancur 3 & Markus Goeller 1,4 & Michaela M. Hell 4 & Heidi Gransar 3 & Daniel S. Berman 3... 
Computed tomography angiography | Ischaemia | Medicine & Public Health | Diagnostic Radiology | Atherosclerotic plaque | Coronary stenosis | Machine learning | Internal Medicine | Interventional Radiology | Imaging / Radiology | Ultrasound | Neuroradiology | FRACTIONAL FLOW RESERVE | ATHEROSCLEROTIC PLAQUES | STENOSES | DIAGNOSTIC PERFORMANCE | ACCURACY | MYOCARDIAL-PERFUSION SPECT | COMPUTED TOMOGRAPHIC ANGIOGRAPHY | LARGE POPULATION | INTRAVASCULAR ULTRASOUND | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | ARTERY-DISEASE | Coronary Stenosis - diagnostic imaging | Severity of Illness Index | Plaque, Atherosclerotic - diagnostic imaging | Humans | Middle Aged | Vascular Calcification - diagnostic imaging | Male | Fractional Flow Reserve, Myocardial - physiology | Machine Learning | Plaque, Atherosclerotic - physiopathology | Coronary Artery Disease - diagnostic imaging | Computed Tomography Angiography - methods | Coronary Angiography - methods | Coronary Artery Disease - physiopathology | Coronary Stenosis - physiopathology | Aged, 80 and over | Myocardial Ischemia - diagnostic imaging | Myocardial Ischemia - physiopathology | Vascular Calcification - physiopathology | Adult | Female | Aged | Hemodynamics | CT imaging | Algorithms | Ischemia | Angiography | Cardiology | Coronary heart disease | Automation | Medical imaging | Coronary artery | Blood vessels | Stenosis | Data processing | Cardiovascular disease | Risk | Coronary artery disease | Density | Patients | Learning algorithms | Computed tomography | Predictions | Calcification | Artificial intelligence | Heart diseases
Journal Article
Journal of Nuclear Cardiology, ISSN 1071-3581, 06/2018, Volume 27, Issue 3, pp. 1 - 12
We aim to establish a multicenter registry collecting clinical, imaging, and follow-up data for patients who undergo myocardial perfusion imaging (MPI) with... 
Myocardial perfusion imaging | Machine learning | Artificial intelligence | Coronary artery disease | SPECT | High-efficiency SPECT | Quantitative analysis | Electrocardiography | Collaboration | Medical imaging
Journal Article
The American journal of cardiology, ISSN 0002-9149, 2013, Volume 111, Issue 8, pp. 1081 - 1086
Journal Article
Journal Article
Journal of the American College of Cardiology, ISSN 0735-1097, 03/2018, Volume 71, Issue 11, pp. A1483 - A1483
Background We aimed to evaluate whether machine learning (ML) approach will allow improved prediction as compared to standard coronary artery calcium (CAC) and... 
Heart | Learning algorithms | Arteriosclerosis | Atherosclerosis | Machine learning | Cardiovascular disease | Cardiovascular diseases | Health risk assessment | Artificial intelligence | Heart diseases | Coronary artery disease
Journal Article