Machine learning applications for vascular stenosis detection in computed tomography angiography: a systematic review and meta-analysis
AMOA Anwer, H Karacan, L Enver, G Cabuk - Neural Computing and …, 2024 - Springer
In an era in which cardiovascular disease has become the main cause of death all over the
world, diagnostic accuracy in identifying blood vessels has become particularly important …
world, diagnostic accuracy in identifying blood vessels has become particularly important …
[HTML][HTML] Cardiovascular Medical Image and Analysis based on 3D Vision: A Comprehensive Survey
With the rapid development of 3D vision and computer graphics technology, the way
humans interact with the world has undergone significant transformations. 3D vision-related …
humans interact with the world has undergone significant transformations. 3D vision-related …
Automatic Coronary Artery Plaque Quantification and CAD-RADS Prediction using Mesh Priors
Coronary artery disease (CAD) remains the leading cause of death worldwide. Patients with
suspected CAD undergo coronary CT angiography (CCTA) to evaluate the risk of …
suspected CAD undergo coronary CT angiography (CCTA) to evaluate the risk of …
How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography
Recently, algorithms capable of assessing the severity of Coronary Artery Disease (CAD) in
form of the Coronary Artery Disease-Reporting and Data System (CAD-RADS) grade from …
form of the Coronary Artery Disease-Reporting and Data System (CAD-RADS) grade from …
[HTML][HTML] A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images
Background and objective In patients with suspected Coronary Artery Disease (CAD), the
severity of stenosis needs to be assessed for precise clinical management. An automatic …
severity of stenosis needs to be assessed for precise clinical management. An automatic …
Deep 3D vessel segmentation based on cross transformer network
The coronary microvascular disease poses a great threat to human health. Computer-aided
analysis/diagnosis systems help physicians intervene in the disease at early stages, where …
analysis/diagnosis systems help physicians intervene in the disease at early stages, where …
CAD-RADS scoring using deep learning and task-specific centerline labeling
With coronary artery disease (CAD) persisting to be one of the leading causes of death
worldwide, interest in supporting physicians with algorithms to speed up and improve …
worldwide, interest in supporting physicians with algorithms to speed up and improve …
Diagnosis of Coronary Heart Disease through Deep Learning-Based Segmentation and Localization in Computed Tomography Angiography
B Zhao, J Peng, C Chen, Y Fan, K Zhang… - IEEE Access, 2025 - ieeexplore.ieee.org
Coronary heart disease (CHD), a leading cause of global mortality, requires precise and
early diagnosis for effective intervention. Coronary computed tomography angiography …
early diagnosis for effective intervention. Coronary computed tomography angiography …
SEMPAI: a Self‐Enhancing Multi‐Photon Artificial Intelligence for Prior‐Informed Assessment of Muscle Function and Pathology
Deep learning (DL) shows notable success in biomedical studies. However, most DL
algorithms work as black boxes, exclude biomedical experts, and need extensive data. This …
algorithms work as black boxes, exclude biomedical experts, and need extensive data. This …
[HTML][HTML] CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: A clinically-inspired deep learning pipeline
Background and objective The standard non-invasive imaging technique used to assess the
severity and extent of Coronary Artery Disease (CAD) is Coronary Computed Tomography …
severity and extent of Coronary Artery Disease (CAD) is Coronary Computed Tomography …