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 Xie… - 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 …
Multi-constraints based deep learning model for automated segmentation and diagnosis of coronary artery disease in X-ray angiographic images
M Algarni, A Al-Rezqi, F Saeed, A Alsaeedi… - PeerJ Computer …, 2022 - peerj.com
Background The detection of coronary artery disease (CAD) from the X-ray coronary
angiography is a crucial process which is hindered by various issues such as presence of …
angiography is a crucial process which is hindered by various issues such as presence of …
Diagnostic accuracy and generalizability of a deep learning-based fully automated algorithm for coronary artery stenosis detection on CCTA: a multi-centre registry …
Aims: In this retrospective, multi-center study, we aimed to estimate the diagnostic accuracy
and generalizability of an established deep learning (DL)-based fully automated algorithm in …
and generalizability of an established deep learning (DL)-based fully automated algorithm in …
Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience
Background To investigate the influence of artificial intelligence (AI) based on deep learning
on the diagnostic performance and consistency of inexperienced cardiovascular …
on the diagnostic performance and consistency of inexperienced cardiovascular …
A deep learning-based automated algorithm for labeling coronary arteries in computed tomography angiography images
P Ren, Y He, N Guo, N Luo, F Li, Z Wang… - BMC Medical Informatics …, 2023 - Springer
Objective Using two three-dimensional U-Net architectures for myocardium structure
extraction and a distance transformation algorithm specifically for the left circumflex artery …
extraction and a distance transformation algorithm specifically for the left circumflex artery …
[HTML][HTML] Automatic vessel segmentation and reformation of non-contrast coronary magnetic resonance angiography using transfer learning-based three-dimensional …
L Lin, Y Zheng, Y Li, D Jiang, J Cao, J Wang… - Journal of …, 2025 - Elsevier
Background Coronary magnetic resonance angiography (CMRA) presents distinct
advantages, but its reliance on manual image post-processing is labor-intensive and …
advantages, but its reliance on manual image post-processing is labor-intensive and …
Association between Pericoronary Fat Attenuation Index Values and Plaque Composition Volume Fraction Measured by Coronary Computed Tomography …
M Jing, H Xi, Y Wang, H Zhu, Q Sun, Y Zhang, W Ren… - Academic …, 2024 - Elsevier
Rationale and Objectives The pericoronary fat attenuation index (FAI) values around
plaques may reveal the relationship between periplaque vascular inflammation and different …
plaques may reveal the relationship between periplaque vascular inflammation and different …
Point Transformer for Coronary Artery Labeling
X Wang, J Ma, J Li - 2023 IEEE 20th International Symposium …, 2023 - ieeexplore.ieee.org
Coronary CT angiography (CCTA) scans are widely used for diagnosis of coronary artery
diseases. An accurate and automatic vessel labeling algorithm for CCTA analysis can …
diseases. An accurate and automatic vessel labeling algorithm for CCTA analysis can …
The influence of artificial intelligence assistance on the diagnostic performance of CCTA for coronary stenosis for radiologists with different levels of experience
Background The interpretation of coronary computed tomography angiography (CCTA)
stenosis may be difficult among radiologists of different experience levels. Artificial …
stenosis may be difficult among radiologists of different experience levels. Artificial …
Automatic Identification Algorithm for Semantic Relations of Chinese Natural Language Entities
C Xinle - 2022 International Conference on Knowledge …, 2022 - ieeexplore.ieee.org
Semantic parsing, in a sense, is a formal language process that translates natural language
into computer recognizable language. Therefore, semantic parsing can be treated as a …
into computer recognizable language. Therefore, semantic parsing can be treated as a …