Related references
Note: Only part of the references are listed.Artificial intelligence in cardiology
Dipti Itchhaporia
TRENDS IN CARDIOVASCULAR MEDICINE (2022)
Predictive Value of Cardiac CTA, Cardiac MRI, and Transthoracic Echocardiography for Cardioembolic Stroke Recurrence
Georg Apfaltrer et al.
AMERICAN JOURNAL OF ROENTGENOLOGY (2021)
Artificial intelligence in cardiovascular medicine
Sagar Ranka et al.
CURRENT OPINION IN CARDIOLOGY (2021)
Cardiovascular magnetic resonance stress and rest T1-mapping using regadenoson for detection of ischemic heart disease compared to healthy controls
Matthew K. Burrage et al.
INTERNATIONAL JOURNAL OF CARDIOLOGY (2021)
Radiomics Detection of Pulmonary Hypertension via Texture-Based Assessments of Cardiac MRI: A Machine-Learning Model Comparison-Cardiac MRI Radiomics in Pulmonary Hypertension
Sarv Priya et al.
JOURNAL OF CLINICAL MEDICINE (2021)
Ischemic Heart Disease: Noninvasive Imaging Techniques and Findings
Arlene Sirajuddin et al.
RADIOGRAPHICS (2021)
The recent advances, drawbacks, and the future directions of CMRI in the diagnosis of IHD
Moram A. Fagiry et al.
SCIENTIFIC REPORTS (2021)
The evolving role of cardiac imaging in patients with myocardial infarction and non-obstructive coronary arteries
Rocco A. Montone et al.
PROGRESS IN CARDIOVASCULAR DISEASES (2021)
Assessment of ventricular tachyarrhythmia in patients with hypertrophic cardiomyopathy with machine learning-based texture analysis of late gadolinium enhancement cardiac MRI
D. Alis et al.
DIAGNOSTIC AND INTERVENTIONAL IMAGING (2020)
Prevalence of Anderson-Fabry disease in a cohort with unexplained late gadolinium enhancement on cardiac MRI
Avalon Moonen et al.
INTERNATIONAL JOURNAL OF CARDIOLOGY (2020)
CRT-100.48 Prediction of Acute Myocardial Infarction Using a Machine Learning-Based Approach From Data at Admission
Ji Young Park et al.
JACC-Cardiovascular Interventions (2020)
The use of cardiac magnetic resonance imaging (CMRI) for adult congenital heart disease patients: qualitative comparative review
Ahmed Alsunbuli
CLINICAL MEDICINE (2020)
Association between anxiety and clinical outcomes in Chinese patients with myocardial infarction in the absence of obstructive coronary artery disease
Chao-Jie He et al.
CLINICAL CARDIOLOGY (2020)
Artificial Intelligence and Myocardial Contrast Enhancement Pattern
Fang Tang et al.
CURRENT CARDIOLOGY REPORTS (2020)
Unsupervised Machine Learning of LGE Patterns on Cardiac MRI Identifies Patients at Risk for Right Ventricular Failure After LVAD
Julia M. Simkowski et al.
JOURNAL OF CARDIAC FAILURE (2020)
Automatic segmentation with detection of local segmentation failures in cardiac MRI
Jorg Sander et al.
SCIENTIFIC REPORTS (2020)
Cardiovascular imaging of women and men visiting the outpatient clinic with chest pain or discomfort: design and rationale of the ARGUS Study
Floor Groepenhoff et al.
BMJ OPEN (2020)
Cardiac Segmentation With Strong Anatomical Guarantees
Nathan Painchaud et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
CMR Parametric Mapping as a Tool for Myocardial Tissue Characterization
Vanessa M. Ferreira et al.
KOREAN CIRCULATION JOURNAL (2020)
Compound-protein interaction prediction with end-to-end learning of neural networks for graphs and sequences
Masashi Tsubaki et al.
BIOINFORMATICS (2019)
Detection of Left Ventricular Hypertrophy Using Bayesian Additive Regression Trees: The MESA (Multi-Ethnic Study of Atherosclerosis)
Rodney Sparapani et al.
JOURNAL OF THE AMERICAN HEART ASSOCIATION (2019)
Assessment and Treatment of Patients With Type 2 Myocardial Infarction and Acute Nonischemic Myocardial Injury
Andrew P. DeFilippis et al.
CIRCULATION (2019)
Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi-Task Deep Learning Approach
Jinming Duan et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)
The relative contributions of myocardial perfusion, blood volume and extracellular volume to native T1 and native T2 at rest and during adenosine stress in normal physiology
Jannike Nickander et al.
JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE (2019)
Differentiating type 1 and 2 acute myocardial infarctions using the N-terminal pro B-type natriuretic peptide/cardiac troponin T ratio
Richard M. Nowak et al.
AMERICAN JOURNAL OF EMERGENCY MEDICINE (2018)
Artificial Intelligence in Medical Practice: The Question to the Answer?
D. Douglas Miller et al.
AMERICAN JOURNAL OF MEDICINE (2018)
Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
Ozan Oktay et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
Olivier Bernard et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)
Predictors of poor clinical outcomes in patients with acute myocardial infarction and non-obstructed coronary arteries (MINOCA)
Giuseppe Ciliberti et al.
INTERNATIONAL JOURNAL OF CARDIOLOGY (2018)
Comparison of MRI techniques for detecting microadenomas in Cushing's disease
Yuval Grober et al.
JOURNAL OF NEUROSURGERY (2018)
ESC working group position paper on myocardial infarction with non-obstructive coronary arteries
Stefan Agewall et al.
EUROPEAN HEART JOURNAL (2017)
High-Sensitivity Cardiac Troponin for the Diagnosis of Patients with Acute Coronary Syndromes
Vlad C. Vasile et al.
CURRENT CARDIOLOGY REPORTS (2017)
A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images
Shuchao Pang et al.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE (2017)
The prognostic value of non-perfusion variables obtained during vasodilator stress myocardial perfusion imaging
Navkaranbir S. Bajaj et al.
JOURNAL OF NUCLEAR CARDIOLOGY (2016)
Epidemiological studies of CHD and the evolution of preventive cardiology
Nathan D. Wong
NATURE REVIEWS CARDIOLOGY (2014)
Distribution of late gadolinium enhancement in various types of cardiomyopathies: Significance in differential diagnosis, clinical features and prognosis
Hiroshi Satoh et al.
WORLD JOURNAL OF CARDIOLOGY (2014)
Redefinition of uremic cardiomyopathy by contrast-enhanced cardiac magnetic resonance imaging
P. B. Mark et al.
KIDNEY INTERNATIONAL (2006)
Share Paper
