AIMC Topic: Coronary Artery Disease
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Editorial.
Computer methods and programs in biomedicine
Jan 1, 2017
Vessel extraction in X-ray angiograms using deep learning.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
Coronary artery disease (CAD) is the most common type of heart disease which is the leading cause of death all over the world. X-ray angiography is currently the gold standard imaging technique for CAD diagnosis. These images usually suffer from low ...
Bailouts to LIMA Damage for Avoiding Conversion in Minimal Access Coronary Procedures.
The Annals of thoracic surgery
Aug 1, 2016
Minimally invasive and robotic coronary revascularization strategies offer less pain, fewer adverse events, better cosmesis, and speedier recovery. These procedures are vulnerable to left internal mammary artery (LIMA) injury that may require a full ...
Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network.
Journal of healthcare engineering
Jan 1, 2016
For hospitals' admission management, the ability to predict length of stay (LOS) as early as in the preadmission stage might be helpful to monitor the quality of inpatient care. This study is to develop artificial neural network (ANN) models to predi...
[Comparison Study of Left Ventricular Function Assessment by 18F-FDG PET, Gated SPECT and 2D-Echocardiography in Patients with Myocardial Infarction].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Oct 1, 2015
The aim of this study is to analyze the concordance between EDV, ESV and LVEF values derived from 18F-FDG PET, GSPECT and ECHO in patients with myocardial infarction. Sixty-four patients with coronary artery disease (CAD) and myocardial infarction we...
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