Results 101 to 110 of about 69,651 (314)
Boosting Cardiac Color Doppler Frame Rates with Deep Learning [PDF]
Color Doppler echocardiography enables visualization of blood flow within the heart. However, the limited frame rate impedes the quantitative assessment of blood velocity throughout the cardiac cycle, thereby compromising a comprehensive analysis of ventricular filling.
arxiv
Ambulatory follow-up of aortic dissection by transesophageal two-dimensional and color-coded Doppler echocardiography. [PDF]
Susanne Mohr-Kahaly+6 more
openalex +1 more source
Markers of progression to heart failure (HF). Gal‐4, galectin‐4; GDF‐15, growth differentiation factor 15; NT‐proBNP, N‐terminal pro‐B‐type natriuretic peptide; ST2, suppression of tumorigenicity‐2. ABSTRACT Aims Biomarkers associated with asymptomatic ventricular dysfunction might improve risk stratification and identify pathways leading to heart ...
Anna Dieden+23 more
wiley +1 more source
The article presents a comparative analysis of standard echocardiography and tissue Doppler method Rings atrioventricular valves in patients with chronic heart failure with a view to early diagnosis of functional disorders of the myocardium.
A S Skosyrev, D A Maksimkin
doaj
Evaluation of cardiac function in asthmatic children by Tissue Doppler Echocardiography. [PDF]
Wagdy R, El-Deriny G.
europepmc +1 more source
Age-related valvular regurgitation: a study by pulsed Doppler echocardiography. [PDF]
Takashi Akasaka+8 more
openalex +1 more source
Right ventricular reverse remodelling after transcatheter tricuspid valve intervention (TTVI). Optimal tricuspid regurgitation (TR) reduction is critical for right ventricular reverse remodelling. CMR, cardiac magnetic resonance; echo, echocardiography; RV EDV, right ventricular end‐diastolic volume. Abstract Aims Right ventricular reverse remodelling (
Ludwig T. Weckbach+16 more
wiley +1 more source
Quantitation of mitral regurgitation by Doppler echocardiography. [PDF]
Steven Blumlein+6 more
openalex +1 more source
Summary of the study design and key findings. The (+) and (−) signs mean that the variable has a positive or a negative association with growth differentiation factor‐15 (GDF‐15) levels in the fully adjusted model (age, gender, current smoker, body mass index, total cholesterol, systolic blood pressure and N‐terminal pro‐B‐type natriuretic peptide ...
Luca Monzo+11 more
wiley +1 more source
Semi-Supervised Multimodal Multi-Instance Learning for Aortic Stenosis Diagnosis [PDF]
Automated interpretation of ultrasound imaging of the heart (echocardiograms) could improve the detection and treatment of aortic stenosis (AS), a deadly heart disease. However, existing deep learning pipelines for assessing AS from echocardiograms have two key limitations.
arxiv