过去一年中添加的文章，按日期排序
Prediction Of Obstructive Coronary Artery Disease From CT Calcium Scoring: A Sub-study Of The SCOT-HEART Trial
J Lee, M Williams, P Singh… - … Tomography, 2024 - journalofcardiovascularct.com
14 天前 - … In this study, we utilized machine learning to determine … coronary artery disease
as defined by the coronary artery … the proposed method was assessed through 1000 repeat …
as defined by the coronary artery … the proposed method was assessed through 1000 repeat …
Coronary computed tomographic angiography-derived anatomic and hemodynamic plaque characteristics in prediction of cardiovascular events
M Gu, Q Mao, H Wang, Y Liang, F Shen, H Cui… - … Cardiovascular Imaging, 2024 - Springer
26 天前 - … plaque characteristics based on deep learning coronary computed tomography …
in the anatomic assessment of occlusion features [18]. Wenjie Yang developed a deep learning …
in the anatomic assessment of occlusion features [18]. Wenjie Yang developed a deep learning …
[HTML][HTML] Automated detection and classification of coronary atherosclerotic plaques on coronary CT angiography using deep learning algorithm
J Liang, K Zhou, MP Chu, Y Wang, G Yang… - Quantitative Imaging …, 2024 - ncbi.nlm.nih.gov
48 天前 - … is to assess the performance of a deep learning algorithm … coronary atherosclerotic
plaques in coronary computed … coronary axial computed tomographic angiography (CTA) …
plaques in coronary computed … coronary axial computed tomographic angiography (CTA) …
Prognostic value of deep learning based RCA PCAT and plaque volume beyond CT-FFR in patients with stent implantation
Z Huang, R Tang, X Du, Y Ding, ZW Yang, B Cao, M Li… - 2024 - researchsquare.com
57 天前 - … Unfortunately, so far, limited studies have reported effective method contains
coronary computed tomography angiography (CTA) features to assess the prognostic value in …
coronary computed tomography angiography (CTA) features to assess the prognostic value in …
Artificial intelligence–enhanced electrocardiography analysis as a promising tool for predicting obstructive coronary artery disease in patients with stable angina
58 天前 - … A deep learning framework for the quantitative ECG (QCG… evaluation for chest pain
(invasive coronary or computed … tor coronary computed tomography angiography in relation …
(invasive coronary or computed … tor coronary computed tomography angiography in relation …
Prospective Deep Learning-based Quantitative Assessment of Coronary Plaque by CT Angiography Compared with Intravascular Ultrasound
J Narula, TD Stuckey, G Nakazawa… - … Imaging, 2024 - academic.oup.com
69 天前 - … Coronary computed tomography angiography (CCTA) has recently been recommended
15 … computed tomography angiography in suspected coronary artery disease: the 13 …
15 … computed tomography angiography in suspected coronary artery disease: the 13 …
[PDF][PDF] Impact of nitroglycerin on machine-learning fractional flow reserve in coronary computed tomography (CT)-angiography
Y Zhou, N Zhao, Y An, W Ma, L Han, L Song… - Quantitative Imaging in … - cdn.amegroups.cn
73 天前 - … improves stenosis assessment of coronary computed tomography (CT) angiography
(… coronary computed tomographic angiography: A report of the society of Cardiovascular …
(… coronary computed tomographic angiography: A report of the society of Cardiovascular …
[HTML][HTML] A comparative analysis of deep learning-based location-adaptive threshold method software against other commercially available software
D Park, EA Park, B Jeong, W Lee - … Journal of Cardiovascular Imaging, 2024 - Springer
84 天前 - … Coronary computed tomography angiography (CCTA) is … coronary arteries can
be performed using CCTA images, … In this study, our evaluation focused on segmentation …
be performed using CCTA images, … In this study, our evaluation focused on segmentation …
[PDF][PDF] Automated Segmentation of the Left Ventricle in Cardiac CT Angiography Using a 2.5 UNet
FL Iacono, JF Calderon, G Pontone… - Advances in Signal …, 2024 - researchgate.net
85 天前 - … computed tomography angiography (CCTA) is an … In this framework, a deep learning
approach for LV segmentation … Cardiac computed tomography angiography (CCTA) is a …
approach for LV segmentation … Cardiac computed tomography angiography (CCTA) is a …
Data-efficient segmentation of coronary arteries for pericoronary adipose tissue analysis on coronary CT angiography using self-supervised learning
JN Kim, J Lee, A Subramaniam, Y Song… - Medical Imaging …, 2024 - spiedigitallibrary.org
100 天前 - … arteries in coronary computed tomography angiography (CCTA) … The emergence
of deep learning has introduced a … Moreover, this study includes a meticulous assessment of …
of deep learning has introduced a … Moreover, this study includes a meticulous assessment of …