[HTML][HTML] Prediction of incident cardiovascular events using machine learning and CMR radiomics
… of CMR radiomics … CMR radiomics over existing approaches, we hierarchically built
supervised ML models incorporating traditional vascular risk factors (VRFs) and conventional CMR …
supervised ML models incorporating traditional vascular risk factors (VRFs) and conventional CMR …
[HTML][HTML] Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection
E Avard, I Shiri, G Hajianfar, H Abdollahi… - Computers in Biology …, 2022 - Elsevier
… yielded optimal results as the best machine learning algorithms for this radiomics analysis
study. This work showed that using radiomics on Cine-CMR images is helpful to accurately …
study. This work showed that using radiomics on Cine-CMR images is helpful to accurately …
Radiomics-based machine learning models in STEMI: a promising tool for the prediction of major adverse cardiac events
Objective To evaluate the potential value of the machine learning (ML) models using radiomic
features of late gadolinium enhancement (LGE) and cine images on magnetic resonance …
features of late gadolinium enhancement (LGE) and cine images on magnetic resonance …
[HTML][HTML] Machine learning of native T1 mapping radiomics for classification of hypertrophic cardiomyopathy phenotypes
AS Antonopoulos, M Boutsikou, S Simantiris… - Scientific Reports, 2021 - nature.com
… We explored whether radiomic features from T1 maps by cardiac magnetic resonance (CMR)
could … ) undergoing a CMR scan were included in this study. We extracted a total of 850 …
could … ) undergoing a CMR scan were included in this study. We extracted a total of 850 …
[HTML][HTML] … between cardiac amyloidosis and hypertrophic cardiomyopathy on non-contrast cine-magnetic resonance images using machine learning-based radiomics
S Jiang, L Zhang, J Wang, X Li, S Hu, Y Fu… - Frontiers in …, 2022 - frontiersin.org
… CMR images is another approach to TA in CMR imaging (11, 12). Hence, we hypothesized
that a radiomics … differences in the myocardial texture of CA and HCM on CMR cine images. …
that a radiomics … differences in the myocardial texture of CA and HCM on CMR cine images. …
Cardiac magnetic resonance radiomics: basic principles and clinical perspectives
Z Raisi-Estabragh, C Izquierdo… - European Heart …, 2020 - academic.oup.com
… We will also review existing literature on CMR radiomics, … More commonly, machine learning
algorithms are used to train … machines (SVMs) are a commonly used machine learning …
algorithms are used to train … machines (SVMs) are a commonly used machine learning …
[HTML][HTML] Myocardial function prediction after coronary artery bypass grafting using mri radiomic features and machine learning algorithms
… [29] investigated the potential of Cine-CMR radiomics for differentiating MI from normal … of
radiomic features extracted from LGE-CMR images along with machine learning algorithms to …
radiomic features extracted from LGE-CMR images along with machine learning algorithms to …
[HTML][HTML] Machine learning in cardiovascular magnetic resonance: basic concepts and applications
… cardiac diseases, the application of radiomics to CMR imaging data appears to be appealing
… The first applications of radiomics and TA in CMR have been reported for segmentation of …
… The first applications of radiomics and TA in CMR have been reported for segmentation of …
[HTML][HTML] Prognostic prediction of left ventricular myocardial noncompaction using machine learning and cardiac magnetic resonance radiomics
PL Han, ZK Jiang, R Gu, S Huang, Y Jiang… - … Imaging in Medicine …, 2023 - ncbi.nlm.nih.gov
… , the performance of cine CMR-based radiomics in predicting MACEs in … radiomics features
derived from cine CMR images and develop a predictive model using machine learning to …
derived from cine CMR images and develop a predictive model using machine learning to …
[HTML][HTML] New imaging signatures of cardiac alterations in ischaemic heart disease and cerebrovascular disease using CMR radiomics
E Rauseo, C Izquierdo Morcillo… - Frontiers in …, 2021 - frontiersin.org
… and brain diseases using CMR radiomics analysis may provide … In this paper, we used
CMR radiomics analysis to study … We used machine learning (ML) methods to identify the most …
CMR radiomics analysis to study … We used machine learning (ML) methods to identify the most …
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