Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed …
Though conventional coronary angiography (CCA) has been the standard of reference for
diagnosing coronary artery disease in the past decades, computed tomography …
diagnosing coronary artery disease in the past decades, computed tomography …
Accelerating 3D medical volume segmentation using GPUs
Medical images have an undeniably integral role in the process of diagnosing and treating
of a very large number of ailments. Processing such images (for different purposes) can …
of a very large number of ailments. Processing such images (for different purposes) can …
Structured learning algorithm for detection of nonobstructive and obstructive coronary plaque lesions from computed tomography angiography
Visual identification of coronary arterial lesion from three-dimensional coronary computed
tomography angiography (CTA) remains challenging. We aimed to develop a robust …
tomography angiography (CTA) remains challenging. We aimed to develop a robust …
Deep learning powered coronary CT angiography for detecting obstructive coronary artery disease: The effect of reader experience, calcification and image quality
CY Liu, CX Tang, XL Zhang, S Chen, Y **e… - European Journal of …, 2021 - Elsevier
Objectives To investigate the effect of reader experience, calcification and image quality on
the performance of deep learning (DL) powered coronary CT angiography (CCTA) in …
the performance of deep learning (DL) powered coronary CT angiography (CCTA) in …
Automatic segmentation, detection and quantification of coronary artery stenoses on CTA
Accurate detection and quantification of coronary artery stenoses is an essential
requirement for treatment planning of patients with suspected coronary artery disease. We …
requirement for treatment planning of patients with suspected coronary artery disease. We …
Automated identification and grading of coronary artery stenoses with X-ray angiography
Background and Objective X-ray coronary angiography (XCA) remains the gold standard
imaging technique for the diagnosis and treatment of cardiovascular disease. Automatic …
imaging technique for the diagnosis and treatment of cardiovascular disease. Automatic …
Artificial intelligence in coronary CT angiography: current status and future prospects
J Liao, L Huang, M Qu, B Chen… - Frontiers in Cardiovascular …, 2022 - frontiersin.org
Coronary heart disease (CHD) is the leading cause of mortality in the world. Early detection
and treatment of CHD are crucial. Currently, coronary CT angiography (CCTA) has been the …
and treatment of CHD are crucial. Currently, coronary CT angiography (CCTA) has been the …
Stenosis detection with deep convolutional neural networks
Recent popularity of deep learning methods inspires to find new applications for them. One
of promising areas is medical diagnosis support, especially analysis of medical images. In …
of promising areas is medical diagnosis support, especially analysis of medical images. In …
Enhanced 3d segmentation techniques for reconstructed 3d medical volumes: Robust and accurate intelligent system
Medical images play an important role in treating a large number of ailments as they are
integral and even indispensable to the diagnosis process of such ailments. Medical images …
integral and even indispensable to the diagnosis process of such ailments. Medical images …
[HTML][HTML] Revolutionizing Acute Cardiac Care with Artificial Intelligence: Opportunities and Challenges
This manuscript reviews the application of artificial intelligence (AI) in acute cardiac care,
highlighting its potential to transform patient outcomes in the face of the global burden of …
highlighting its potential to transform patient outcomes in the face of the global burden of …