Prediction of incident cardiovascular events using machine learning and CMR radiomics
Objectives: Evaluation of the feasibility of using cardiovascular magnetic resonance (CMR)
radiomics in the prediction of incident atrial fibrillation (AF), heart failure (HF), myocardial …
radiomics in the prediction of incident atrial fibrillation (AF), heart failure (HF), myocardial …
Prediction of incident cardiovascular events using machine learning and CMR radiomics
Objectives Evaluation of the feasibility of using cardiovascular magnetic resonance (CMR)
radiomics in the prediction of incident atrial fibrillation (AF), heart failure (HF), myocardial …
radiomics in the prediction of incident atrial fibrillation (AF), heart failure (HF), myocardial …
Cardiac magnetic resonance radiomics for prediction of incident heart failure: a feasibility study in the UK Biobank Imaging cohort
Background Cardiac magnetic resonance (CMR) radiomics is a novel image quantification
technique with the potential to improve image-based disease diagnosis and prediction …
technique with the potential to improve image-based disease diagnosis and prediction …
Radiomics signatures of cardiovascular risk factors in cardiac MRI: results from the UK biobank
Cardiovascular magnetic resonance (CMR) radiomics is a novel technique for advanced
cardiac image phenotyping by analyzing multiple quantifiers of shape and tissue texture. In …
cardiac image phenotyping by analyzing multiple quantifiers of shape and tissue texture. In …
Prediction of Incident Atrial Fibrillation in Population with Ischemic Heart Disease Using Machine Learning with Radiomics and ECG Markers
Ischemic heart disease (IHD) is the main cause of death globally. The coexistence of IHD
with atrial fibrillation (AF) can result in a reduced lifespan and severe disabilities. Despite the …
with atrial fibrillation (AF) can result in a reduced lifespan and severe disabilities. Despite the …
Machine learning prediction of atrial fibrillation in cardiovascular patients using cardiac magnetic resonance and electronic health information
S Dykstra, A Satriano, AK Cornhill, LY Lei… - Frontiers in …, 2022 - frontiersin.org
Background Atrial fibrillation (AF) is a commonly encountered cardiac arrhythmia associated
with morbidity and substantial healthcare costs. While patients with cardiovascular disease …
with morbidity and substantial healthcare costs. While patients with cardiovascular disease …
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 …
radiomic features of late gadolinium enhancement (LGE) and cine images on magnetic …
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
Background: Ischaemic heart disease (IHD) and cerebrovascular disease are two closely
inter-related clinical entities. Cardiovascular magnetic resonance (CMR) radiomics may …
inter-related clinical entities. Cardiovascular magnetic resonance (CMR) radiomics may …
Cardiac magnetic resonance radiomics reveal differential impact of sex, age, and vascular risk factors on cardiac structure and myocardial tissue
Background: Cardiovascular magnetic resonance (CMR) radiomics analysis provides
multiple quantifiers of ventricular shape and myocardial texture, which may be used for …
multiple quantifiers of ventricular shape and myocardial texture, which may be used for …
Variation of cardiac magnetic resonance radiomics features by age and sex in healthy participants from the UK Biobank
Introduction Cardiac magnetic resonance (CMR) radiomics use voxel-level data to derive
quantitative indices of myocardial tissue texture, which may provide complementary risk …
quantitative indices of myocardial tissue texture, which may provide complementary risk …