Identification of fibrosis in hypertrophic cardiomyopathy: a radiomic study on cardiac magnetic resonance cine imaging
C Pu, X Hu, S Lv, Y Wu, F Yu, W Zhu, L Zhang, J Fei… - European …, 2023 - Springer
… In this study, we constructed CMR, radiomics, and integrated models based on cine imaging
to identify fibrosis in patients with HCM. The results in the independent test set showed that I …
to identify fibrosis in patients with HCM. The results in the independent test set showed that I …
Multi-parametric assessment of cardiac magnetic resonance images to distinguish myocardial infarctions: A tensor-based radiomics feature
D Wang, H Jasim Taher, M Al-Fatlawi… - Journal of X-Ray …, 2024 - content.iospress.com
… for radiomic features extracted from CMR … Cardiovascular disease (CVD) prevalence
increases with age and causes structural and functional complications [1, 2]. Cardiovascular …
increases with age and causes structural and functional complications [1, 2]. Cardiovascular …
A radiomic approach to predict myocardial fibrosis on coronary CT angiography in hypertrophic cardiomyopathy
… to simultaneously rule out coronary artery disease (CAD) [5,… radiomic studies focusing on
the diagnosis and differentiation of HCM by CMR, this study emphasized the utility of radiomics …
the diagnosis and differentiation of HCM by CMR, this study emphasized the utility of radiomics …
Diagnosis of cardiac amyloidosis using a radiomics approach applied to late gadolinium-enhanced cardiac magnetic resonance images: a retrospective, multicohort …
XY Zhou, CX Tang, YK Guo, XW Tao… - … in Cardiovascular …, 2022 - frontiersin.org
… in patients with suspected cardiac AL amyloidosis. Therefore, we aimed to assess the value
of CMR-based radiomics approaches for the identification of cardiac involvement in patients …
of CMR-based radiomics approaches for the identification of cardiac involvement in patients …
Radiomics side experiments and DAFIT approach in identifying pulmonary hypertension using Cardiac MRI derived radiomics based machine learning models
… studies and other prior radiomics CMR studies have also … -up for a family history of
cardiovascular disease. All patients in the … ), coronary artery disease on CMRI, or cardiac …
cardiovascular disease. All patients in the … ), coronary artery disease on CMRI, or cardiac …
[HTML][HTML] Radiomics feature analysis using native T1 mapping for discriminating between cardiac tumors and thrombi
… radiomics analysis using native T1 or T2 maps can be useful in the diagnosis of various cardiac
diseases. … (21) demonstrated the possibility of distinguishing hypertensive heart disease …
diseases. … (21) demonstrated the possibility of distinguishing hypertensive heart disease …
A collaborative approach for the development and application of machine learning solutions for CMR-based cardiac disease classification
… for the extraction of typical radiomics features and image-based cardiac biomarkers as
suggested in Section Introduction. For 4D image data we generate radiomics feature curves that …
suggested in Section Introduction. For 4D image data we generate radiomics feature curves that …
A robust radiomic-based machine learning approach to detect cardiac amyloidosis using cardiac computed tomography
F Lo Iacono, R Maragna, G Pontone… - Frontiers in …, 2023 - frontiersin.org
… scintigraphy and/or cardiac magnetic resonance (CMR). … Some CMR markers, although
pathognomonic in patients with … in other forms of cardiovascular disease, including reactive or …
pathognomonic in patients with … in other forms of cardiovascular disease, including reactive or …
Multiparametric cardiovascular magnetic resonance approach in diagnosing, monitoring, and prognostication of myocarditis
C Eichhorn, S Greulich, C Bucciarelli-Ducci… - Cardiovascular …, 2022 - jacc.org
… CMR mapping techniques and texture analysis or radiomics or … experienced a major adverse
cardiovascular event (MACE) … Follow-up CMR, 6 months after the initial CMR scan, showed …
cardiovascular event (MACE) … Follow-up CMR, 6 months after the initial CMR scan, showed …
Interpretable machine learning through radiomics and attribute-regularized neural networks for cardiology
I Cetin - 2022 - tdx.cat
… CMR radiomics and regularized latent-representation based models for identifying changes
in cardiac … for image phenotyping of important cardiovascular diseases was carried out …
in cardiac … for image phenotyping of important cardiovascular diseases was carried out …