Machine learning for cardiovascular biomechanics modeling: challenges and beyond
Recent progress in machine learning (ML), together with advanced computational power,
have provided new research opportunities in cardiovascular modeling. While classifying …
have provided new research opportunities in cardiovascular modeling. While classifying …
Deep learning for 3D vascular segmentation in hierarchical phase contrast tomography: a case study on kidney
Automated blood vessel segmentation is critical for biomedical image analysis, as vessel
morphology changes are associated with numerous pathologies. Still, precise segmentation …
morphology changes are associated with numerous pathologies. Still, precise segmentation …
CathAI: fully automated coronary angiography interpretation and stenosis estimation
R Avram, JE Olgin, Z Ahmed, L Verreault-Julien… - npj Digital …, 2023 - nature.com
Coronary angiography is the primary procedure for diagnosis and management decisions in
coronary artery disease (CAD), but ad-hoc visual assessment of angiograms has high …
coronary artery disease (CAD), but ad-hoc visual assessment of angiograms has high …
Progressive perception learning for main coronary segmentation in X-ray angiography
Main coronary segmentation from the X-ray angiography images is important for the
computer-aided diagnosis and treatment of coronary disease. However, it confronts the …
computer-aided diagnosis and treatment of coronary disease. However, it confronts the …
Automatic extraction and stenosis evaluation of coronary arteries in invasive coronary angiograms
Background Coronary artery disease (CAD) is the leading cause of death in the United
States (US) and a major contributor to healthcare cost. Accurate segmentation of coronary …
States (US) and a major contributor to healthcare cost. Accurate segmentation of coronary …
The application of deep learning for the segmentation and classification of coronary arteries
In recent years, the prevalence of coronary artery disease (CAD) has become one of the
leading causes of death around the world. Accurate stenosis detection of coronary arteries is …
leading causes of death around the world. Accurate stenosis detection of coronary arteries is …
Vessel segmentation for X-ray coronary angiography using ensemble methods with deep learning and filter-based features
Background Automated segmentation of coronary arteries is a crucial step for computer-
aided coronary artery disease (CAD) diagnosis and treatment planning. Correct delineation …
aided coronary artery disease (CAD) diagnosis and treatment planning. Correct delineation …
Vision Transformer in stenosis detection of coronary arteries
M Jungiewicz, P Jastrzębski, P Wawryka… - Expert Systems with …, 2023 - Elsevier
About 380 thousand people in the United States die each year because of coronary artery
disease. About 2 in 10 deaths from CAD happen in adults less than 65 years old. Early …
disease. About 2 in 10 deaths from CAD happen in adults less than 65 years old. Early …
[HTML][HTML] CIDN: A context interactive deep network with edge-aware for X-ray angiography images segmentation
Accurate segmentation of X-ray angiography images is imperative for cardiovascular
disease diagnosis. Despite significant strides in segmentation through deep learning …
disease diagnosis. Despite significant strides in segmentation through deep learning …
Non-invasive fractional flow reserve estimation using deep learning on intermediate left anterior descending coronary artery lesion angiography images
This study aimed to design an end-to-end deep learning model for estimating the value of
fractional flow reserve (FFR) using angiography images to classify left anterior descending …
fractional flow reserve (FFR) using angiography images to classify left anterior descending …