Recommendation for cardiac magnetic resonance imaging-based phenotypic study: imaging part

C Wang, Y Li, J Lv, J Jin, X Hu, X Kuang, W Chen… - Phenomics, 2021 - Springer
Cardiac magnetic resonance (CMR) imaging provides important biomarkers for the early
diagnosis of many cardiovascular diseases and has been reported to reveal phenome-wide …

Cardiac magnetic resonance radiomics reveal differential impact of sex, age, and vascular risk factors on cardiac structure and myocardial tissue

Z Raisi-Estabragh, A Jaggi, P Gkontra… - Frontiers in …, 2021 - frontiersin.org
Background: Cardiovascular magnetic resonance (CMR) radiomics analysis provides
multiple quantifiers of ventricular shape and myocardial texture, which may be used for …

[HTML][HTML] Cardiovascular magnetic resonance for the evaluation of patients with cardiovascular disease: An overview of current indications, limitations, and procedures

SI Mavrogeni, A Kallifatidis, S Kourtidou, N Lama… - Hellenic Journal of …, 2023 - Elsevier
Cardiovascular disease (CVD) is the most common cause of morbidity/mortality worldwide.
Early diagnosis is the key to improve CVD prognosis, and cardiovascular imaging plays a …

[HTML][HTML] Reference ranges (“normal values”) for cardiovascular magnetic resonance (CMR) in adults and children: 2020 update

N Kawel-Boehm, SJ Hetzel… - Journal of …, 2020 - Elsevier
Cardiovascular magnetic resonance (CMR) enables assessment and quantification of
morphological and functional parameters of the heart, including chamber size and function …

Radiomics signatures of cardiovascular risk factors in cardiac MRI: results from the UK biobank

I Cetin, Z Raisi-Estabragh, SE Petersen… - Frontiers in …, 2020 - frontiersin.org
Cardiovascular magnetic resonance (CMR) radiomics is a novel technique for advanced
cardiac image phenotyping by analyzing multiple quantifiers of shape and tissue texture. In …

A collaborative approach for the development and application of machine learning solutions for CMR-based cardiac disease classification

M Huellebrand, M Ivantsits, L Tautz, S Kelle… - Frontiers in …, 2022 - frontiersin.org
The quality and acceptance of machine learning (ML) approaches in cardiovascular data
interpretation depends strongly on model design and training and the interaction with the …

The impact of cardiovascular risk factors on cardiac structure and function: Insights from the UK Biobank imaging enhancement study

SE Petersen, MM Sanghvi, N Aung, JA Cooper… - PloS one, 2017 - journals.plos.org
Aims The UK Biobank is a large-scale population-based study utilising cardiovascular
magnetic resonance (CMR) to generate measurements of atrial and ventricular structure and …

[HTML][HTML] Normal sex and age-specific parameters in a multi-ethnic population: a cardiovascular magnetic resonance study of the Canadian Alliance for Healthy Hearts …

JM Luu, C Gebhard, C Ramasundarahettige… - Journal of …, 2022 - Elsevier
Background Despite the growing utility of cardiovascular magnetic resonance (CMR) for
cardiac morphology and function, sex and age-specific normal reference values derived …

[HTML][HTML] Association of antecedent cardiovascular risk factor levels and trajectories with cardiovascular magnetic resonance-derived cardiac function and structure

R Lorbeer, S Rospleszcz, CL Schlett, SD Rado… - Journal of …, 2021 - Elsevier
Background The association of longitudinal trajectories of cardiovascular risk factors with
cardiovascular magnetic resonance (CMR)-measures of cardiac structure and function in the …

Cardiovascular magnetic resonance imaging in the prospective, population-based, Hamburg City Health cohort study: objectives and design

S Bohnen, M Avanesov, A Jagodzinski… - Journal of …, 2018 - Springer
Background The purpose of this work is to describe the objectives and design of
cardiovascular magnetic resonance (CMR) imaging in the single center, prospective …