Identification of ischemic heart disease via machine learning analysis on magnetocardiograms

T Tantimongcolwat, T Naenna… - Computers in biology …, 2008 - Elsevier
Ischemic heart disease (IHD) is predominantly the leading cause of death worldwide. Early
detection of IHD may effectively prevent severity and reduce mortality rate. Recently …

Deep learning for diagnosis of chronic myocardial infarction on nonenhanced cardiac cine MRI

N Zhang, G Yang, Z Gao, C Xu, Y Zhang, R Shi… - Radiology, 2019 - pubs.rsna.org
Background Renal impairment is common in patients with coronary artery disease and, if
severe, late gadolinium enhancement (LGE) imaging for myocardial infarction (MI) …

Multiparametric cardiovascular magnetic resonance approach in diagnosing, monitoring, and prognostication of myocarditis

C Eichhorn, S Greulich, C Bucciarelli-Ducci… - Cardiovascular …, 2022 - jacc.org
Myocarditis represents the entity of an inflamed myocardium and is a diagnostic challenge
caused by its heterogeneous presentation. Contemporary noninvasive evaluation of patients …

[HTML][HTML] Feature tracking cardiac magnetic resonance imaging: A review of a novel non-invasive cardiac imaging technique

ZU Rahman, P Sethi, G Murtaza, HUH Virk… - World journal of …, 2017 - ncbi.nlm.nih.gov
Cardiovascular disease is a leading cause of morbidity and mortality globally. Early
diagnostic markers are gaining popularity for better patient care disease outcomes. There is …

Classification of Heart Disease Using MFO Based Neural Network on MRI Images.

N UM - Current Medical Imaging, 2021 - europepmc.org
Background Cardiovascular Disease (CVD) is one of the primary diseases that causes
death every year. An approximation of roughly about 17.5 million people dies due to CVD …

The applications of artificial intelligence in cardiovascular magnetic resonance—a comprehensive review

A Argentiero, G Muscogiuri, MG Rabbat… - Journal of Clinical …, 2022 - mdpi.com
Cardiovascular disease remains an integral field on which new research in both the
biomedical and technological fields is based, as it remains the leading cause of mortality …

A comprehensive 3-D framework for automatic quantification of late gadolinium enhanced cardiac magnetic resonance images

D Wei, Y Sun, SH Ong, P Chai, LL Teo… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
Late gadolinium enhanced (LGE) cardiac magnetic resonance (CMR) can directly visualize
nonviable myocardium with hyperenhanced intensities with respect to normal myocardium …

Determinants and prognostic value of cardiac magnetic resonance imaging-derived infarct characteristics in non-ST-elevation myocardial infarction

HJ Feistritzer, M Nanos, I Eitel, A Jobs… - European Heart …, 2020 - academic.oup.com
Aims The prognostic significance of cardiac magnetic resonance (CMR)-derived infarct
characteristics has been demonstrated in ST-elevation myocardial infarction (STEMI) …

Third-order tensor based analysis of multilead ECG for classification of myocardial infarction

S Padhy, S Dandapat - Biomedical Signal Processing and Control, 2017 - Elsevier
Electrocardiogram (ECG) feature extraction and classification are challenging tasks for
correct diagnosis of cardiac diseases. Conventional feature extraction methods were based …

Diagnostic Performance of Biphasic Diffusion Tensor Cardiovascular Magnetic Resonance for Detection of Segments with Myocardial Infarction

R Rajakulasingam, P Ferreira, A Scott… - Journal of …, 2024 - journalofcmr.com
Background: Biphasic diffusion tensor cardiovascular magnetic resonance (DT-CMR)
provides novel insights into the altered myocardial microstructure after ST-elevation …