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 …
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 …
Graph Convolutional Networks with Spatial and Channel Attention for Medical Image Segmentation
S Dai, X Liu, L Qiao - Available at SSRN 4768653, 2024 - papers.ssrn.com
In recent years, there has been a growing demand for image segmentation in the medical
field. Among them, U-shaped neural networks based on UNet and transformer have …
field. Among them, U-shaped neural networks based on UNet and transformer have …
Artificial Intelligence Integration into the Computed Tomography System
M Sühling, S Großkopf, R Gutjahr… - Artificial Intelligence in …, 2022 - Springer
For many years, CT development has been driven by technical refinement of CT scanners to
improve their performance, extend their clinical capabilities, and enable new applications …
improve their performance, extend their clinical capabilities, and enable new applications …
Artificial Intelligence-Based Coronary Artery Disease Reporting and Data System (CAD-RADS)
G Muscogiuri, M Chiesa, C Cau, R Cau… - Artificial Intelligence in …, 2022 - Springer
Coronary computed tomography angiography (CCTA) is rapidly increasing its role in ruling
out coronary artery disease (CAD). In the past years, the reporting of CCTA has not been …
out coronary artery disease (CAD). In the past years, the reporting of CCTA has not been …