Results 11 to 20 of about 157,591 (311)
GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation [PDF]
IEEE International Conference on Computer Vision, 2023 Echocardiogram video segmentation plays an important role in cardiac disease diagnosis. This paper studies the unsupervised domain adaption (UDA) for echocardiogram video segmentation, where the goal is to generalize the model trained on the source ...
Jie-Wen Yang +4 more
semanticscholar +1 more source
JACC: Case Reports, 2023 We report a case of fulminant COVID-19–related myocarditis requiring venoarterial extracorporeal membrane oxygenation where the use of an ultrasound-enhancing agent demonstrated a previously undescribed echocardiographic finding, the “lightbulb” sign ...
Ayana Nanthakumar +7 more
doaj +1 more source
Feature-Conditioned Cascaded Video Diffusion Models for Precise Echocardiogram Synthesis [PDF]
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023 Image synthesis is expected to provide value for the translation of machine learning methods into clinical practice. Fundamental problems like model robustness, domain transfer, causal modelling, and operator training become approachable through ...
Hadrien Reynaud +7 more
semanticscholar +1 more source
Indian Journal of Kidney Diseases, 2023 Background and Objectives: This study was conducted to analyse the prevalence of pulmonary hypertension (PH) in maintenance haemodialysis patients, risk factors associated with it and the patient outcomes.
Jalal Ahmed +4 more
doaj +1 more source
Multimodal Foundation Models For Echocardiogram Interpretation [PDF]
arXiv.org, 2023 Multimodal deep learning foundation models can learn the relationship between images and text. In the context of medical imaging, mapping images to language concepts reflects the clinical task of diagnostic image interpretation, however current general ...
M. Christensen +3 more
semanticscholar +1 more source
GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation [PDF]
International Conference on Medical Image Computing and Computer-Assisted Intervention, 2023 Cardiac structure segmentation from echocardiogram videos plays a crucial role in diagnosing heart disease. The combination of multi-view echocardiogram data is essential to enhance the accuracy and robustness of automated methods.
Ziyang Zheng +4 more
semanticscholar +1 more source
Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction From Echocardiogram Videos [PDF]
IEEE Transactions on Medical Imaging, 2022 Left-ventricular ejection fraction (LVEF) is an important indicator of heart failure. Existing methods for LVEF estimation from video require large amounts of annotated data to achieve high performance, e.g.
Weihang Dai +3 more
semanticscholar +1 more source
Automated Assessment of Transthoracic Echocardiogram Image Quality Using Deep Neural Networks [PDF]
Intelligent Medicine, 2022 Background: Standard views in two-dimensional echocardiography are well established but the quality of acquired images are highly dependent on operator skills and are assessed subjectively.
Robert B. Labs +3 more
semanticscholar +1 more source
Association Between Left Ventricle Diastolic Dysfunction and Unfavorable Prognostic Markers in Patients with Aortic Insufficiency [PDF]
Journal of Clinical and Diagnostic Research, 2017 Introduction: The presence of symptoms, systolic dysfunction and Left Ventricle (LV) dilation are considered unfavourable prognostic markers in Aortic Valve Insufficiency (AVI).
Meliza Goi Roscani +7 more
doaj +1 more source
Frontiers in Cardiovascular Medicine, 2022 Secundum atrial septal defect (ASD) is one of the most common congenital heart diseases (CHDs). This study aims to evaluate the feasibility and accuracy of automatic detection of ASD in children based on color Doppler echocardiographic images using ...
Wenjing Hong +20 more
doaj +1 more source