State-of-the-art deep learning in cardiovascular image analysis
Cardiovascular imaging is going to change substantially in the next decade, fueled by the
deep learning revolution. For medical professionals, it is important to keep track of these …
deep learning revolution. For medical professionals, it is important to keep track of these …
[HTML][HTML] Artificial intelligence in the diagnosis and detection of heart failure: the past, present, and future
F Yasmin, SMI Shah, A Naeem… - Reviews in …, 2021 - imrpress.com
Artificial Intelligence (AI) performs human intelligence-dependant tasks using tools such as
Machine Learning, and its subtype Deep Learning. AI has incorporated itself in the field of …
Machine Learning, and its subtype Deep Learning. AI has incorporated itself in the field of …
Calcium scoring at coronary CT angiography using deep learning
Background Separate noncontrast CT to quantify the coronary artery calcium (CAC) score
often precedes coronary CT angiography (CTA). Quantifying CAC scores directly at CTA …
often precedes coronary CT angiography (CTA). Quantifying CAC scores directly at CTA …
Imagecas: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images
Cardiovascular disease (CVD) accounts for about half of non-communicable diseases.
Vessel stenosis in the coronary artery is considered to be the major risk of CVD. Computed …
Vessel stenosis in the coronary artery is considered to be the major risk of CVD. Computed …
Development and application of artificial intelligence in cardiac imaging
B Jiang, N Guo, Y Ge, L Zhang… - The British Journal of …, 2020 - academic.oup.com
In this review, we describe the technical aspects of artificial intelligence (AI) in cardiac
imaging, starting with radiomics, basic algorithms of deep learning and application tasks of …
imaging, starting with radiomics, basic algorithms of deep learning and application tasks of …
Cpr-gcn: Conditional partial-residual graph convolutional network in automated anatomical labeling of coronary arteries
Automated anatomical labeling plays a vital role in coronary artery disease diagnosing
procedure. The main challenge in this problem is the large individual variability inherited in …
procedure. The main challenge in this problem is the large individual variability inherited in …
Fusing 2D and 3D convolutional neural networks for the segmentation of aorta and coronary arteries from CT images
L Gu, XC Cai - Artificial Intelligence in Medicine, 2021 - Elsevier
Automated segmentation of three-dimensional medical images is of great importance for the
detection and quantification of certain diseases such as stenosis in the coronary arteries …
detection and quantification of certain diseases such as stenosis in the coronary arteries …
Current and future applications of artificial intelligence in cardiac CT
Abstract Purpose of Review In this review, we aim to summarize state-of-the-art artificial
intelligence (AI) approaches applied to cardiovascular CT and their future implications …
intelligence (AI) approaches applied to cardiovascular CT and their future implications …
AGMN: association graph-based graph matching network for coronary artery semantic labeling on invasive coronary angiograms
Semantic labeling of coronary arterial segments in invasive coronary angiography (ICA) is
important for automated assessment and report generation of coronary artery stenosis in …
important for automated assessment and report generation of coronary artery stenosis in …
An intelligent model for coronary heart disease diagnosis
TK Revathi, B Sathiyabhama, S Sankar… - … in Smart Healthcare, 2022 - taylorfrancis.com
Heart disease is one of the harmful diseases in the world. Coronary heart disease (CHD)
happens due to fat deposits on coronary wall and it reduces blood flow to the heart, which …
happens due to fat deposits on coronary wall and it reduces blood flow to the heart, which …