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Machine learning for assessment of coronary artery disease in cardiac CT: a survey
Cardiac computed tomography (CT) allows rapid visualization of the heart and coronary
arteries with high spatial resolution. However, analysis of cardiac CT scans for manifestation …
arteries with high spatial resolution. However, analysis of cardiac CT scans for manifestation …
A recurrent CNN for automatic detection and classification of coronary artery plaque and stenosis in coronary CT angiography
Various types of atherosclerotic plaque and varying grades of stenosis could lead to different
management of patients with a coronary artery disease. Therefore, it is crucial to detect and …
management of patients with a coronary artery disease. Therefore, it is crucial to detect and …
Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed …
Though conventional coronary angiography (CCA) has been the standard of reference for
diagnosing coronary artery disease in the past decades, computed tomography …
diagnosing coronary artery disease in the past decades, computed tomography …
Findings from machine learning in clinical medical imaging applications–Lessons for translation to the forensic setting
Abstract Machine learning (ML) techniques are increasingly being used in clinical medical
imaging to automate distinct processing tasks. In post-mortem forensic radiology, the use of …
imaging to automate distinct processing tasks. In post-mortem forensic radiology, the use of …
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 …
Automatic segmentation, detection and quantification of coronary artery stenoses on CTA
Accurate detection and quantification of coronary artery stenoses is an essential
requirement for treatment planning of patients with suspected coronary artery disease. We …
requirement for treatment planning of patients with suspected coronary artery disease. We …
Current modeling methods used in QSAR/QSPR
LC Yee, YC Wei - … modelling of molecular descriptors in QSAR …, 2012 - Wiley Online Library
A drug company has to ensure the quality, safety, and efficacy of a marketed drug by
subjecting the drug to a variety of tests [1]. Therefore, drug development is a time-consuming …
subjecting the drug to a variety of tests [1]. Therefore, drug development is a time-consuming …
Automatic coronary wall and atherosclerotic plaque segmentation from 3D coronary CT angiography
AM Ghanem, AH Hamimi, JR Matta, A Carass… - Scientific reports, 2019 - nature.com
Coronary plaque burden measured by coronary computerized tomography angiography
(CCTA), independent of stenosis, is a significant independent predictor of coronary heart …
(CCTA), independent of stenosis, is a significant independent predictor of coronary heart …
[PDF][PDF] Automatic detection and characterization of coronary artery plaque and stenosis using a recurrent convolutional neural network in coronary CT angiography
Different types of atherosclerotic plaque and varying grades of stenosis lead to different
management of patients with obstructive coronary artery disease. Therefore, it is crucial to …
management of patients with obstructive coronary artery disease. Therefore, it is crucial to …
A deep learning‐based interpretable decision tool for predicting high risk of chemotherapy‐induced nausea and vomiting in cancer patients prescribed highly …
J Zhang, X Cui, C Yang, D Zhong, Y Sun… - Cancer …, 2023 - Wiley Online Library
Objective This study aims to develop a risk prediction model for chemotherapy‐induced
nausea and vomiting (CINV) in cancer patients receiving highly emetogenic chemotherapy …
nausea and vomiting (CINV) in cancer patients receiving highly emetogenic chemotherapy …