[HTML][HTML] Radiomics feature reliability assessed by intraclass correlation coefficient: a systematic review
Radiomics research is rapidly growing in recent years, but more concerns on radiomics
reliability are also raised. This review attempts to update and overview the current status of …
reliability are also raised. This review attempts to update and overview the current status of …
Present and future innovations in AI and cardiac MRI
MA Morales, WJ Manning, R Nezafat - Radiology, 2024 - pubs.rsna.org
Cardiac MRI is used to diagnose and treat patients with a multitude of cardiovascular
diseases. Despite the growth of clinical cardiac MRI, complicated image prescriptions and …
diseases. Despite the growth of clinical cardiac MRI, complicated image prescriptions and …
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 enhance the diagnostic value of T1 mapping in distinguishing health from …
(CMR) could enhance the diagnostic value of T1 mapping in distinguishing health from …
Radiomics of late gadolinium enhancement reveals prognostic value of myocardial scar heterogeneity in hypertrophic cardiomyopathy
Background Late gadolinium enhancement (LGE) scar burden by cardiac magnetic
resonance is a major risk factor for sudden cardiac death (SCD) in hypertrophic …
resonance is a major risk factor for sudden cardiac death (SCD) in hypertrophic …
[HTML][HTML] Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy
Background Myocardial scar burden quantified using late gadolinium enhancement (LGE)
cardiovascular magnetic resonance (CMR), has important prognostic value in hypertrophic …
cardiovascular magnetic resonance (CMR), has important prognostic value in hypertrophic …
Achieving imaging and computational reproducibility on multiparametric MRI radiomics features in brain tumor diagnosis: Phantom and clinical validation
Abstract Objectives The Image Biomarker Standardization Initiative has helped improve the
computational reproducibility of MRI radiomics features. Nonetheless, the MRI sequences …
computational reproducibility of MRI radiomics features. Nonetheless, the MRI sequences …
Machine learning phenotyping of scarred myocardium from cine in hypertrophic cardiomyopathy
J Mancio, F Pashakhanloo… - European Heart …, 2022 - academic.oup.com
Aims Cardiovascular magnetic resonance (CMR) with late-gadolinium enhancement (LGE)
is increasingly being used in hypertrophic cardiomyopathy (HCM) for diagnosis, risk …
is increasingly being used in hypertrophic cardiomyopathy (HCM) for diagnosis, risk …
Emerging techniques in cardiac magnetic resonance imaging
R Guo, S Weingärtner, P Šiurytė… - Journal of Magnetic …, 2022 - Wiley Online Library
Cardiovascular disease is the leading cause of death and a significant contributor of health
care costs. Noninvasive imaging plays an essential role in the management of patients with …
care costs. Noninvasive imaging plays an essential role in the management of patients with …
Stability of MRI radiomic features according to various imaging parameters in fast scanned T2-FLAIR for acute ischemic stroke patients
L Joo, SC Jung, H Lee, SY Park, M Kim, JE Park… - Scientific reports, 2021 - nature.com
Abstract From May 2015 to June 2016, data on 296 patients undergoing 1.5-Tesla MRI for
symptoms of acute ischemic stroke were retrospectively collected. Conventional, echo …
symptoms of acute ischemic stroke were retrospectively collected. Conventional, echo …
Repeatability of cardiac magnetic resonance radiomics: a multi-centre multi-vendor test-retest study
Aims: To evaluate the repeatability of cardiac magnetic resonance (CMR) radiomics features
on test-retest scanning using a multi-centre multi-vendor dataset with a varied case-mix …
on test-retest scanning using a multi-centre multi-vendor dataset with a varied case-mix …