AIMC Topic: Heart Ventricles
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Deep Learning Single-Frame and Multiframe Super-Resolution for Cardiac MRI.
Radiology
Apr 14, 2020
Background Cardiac MRI is limited by long acquisition times, yet faster acquisition of smaller-matrix images reduces spatial detail. Deep learning (DL) might enable both faster acquisition and higher spatial detail via super-resolution. Purpose To ex...
Left ventricle automatic segmentation in cardiac MRI using a combined CNN and U-net approach.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Apr 10, 2020
Cardiovascular diseases can be effectively prevented from worsening through early diagnosis. To this end, various methods have been proposed to detect the disease source by analyzing cardiac magnetic resonance images (MRI), wherein left ventricular s...
Cardiac MR segmentation based on sequence propagation by deep learning.
PloS one
Apr 9, 2020
Accurate segmentation of myocardial in cardiac MRI (magnetic resonance image) is key to effective rapid diagnosis and quantitative pathology analysis. However, a low-quality CMR (cardiac magnetic resonance) image with a large amount of noise makes it...
A deep learning-based approach for automatic segmentation and quantification of the left ventricle from cardiac cine MR images.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Mar 12, 2020
Cardiac MRI has been widely used for noninvasive assessment of cardiac anatomy and function as well as heart diagnosis. The estimation of physiological heart parameters for heart diagnosis essentially require accurate segmentation of the Left ventric...
Automated left ventricular myocardium segmentation using 3D deeply supervised attention U-net for coronary computed tomography angiography; CT myocardium segmentation.
Medical physics
Feb 29, 2020
PURPOSE: Segmentation of left ventricular myocardium (LVM) in coronary computed tomography angiography (CCTA) is important for diagnosis of cardiovascular diseases. Due to poor image contrast and large variation in intensity and shapes, LVM segmentat...
Automated segmentation of the left ventricle from MR cine imaging based on deep learning architecture.
Biomedical physics & engineering express
Feb 18, 2020
BACKGROUND: Magnetic resonance cine imaging is the accepted standard for cardiac functional assessment. Left ventricular (LV) segmentation plays a key role in volumetric functional quantification of the heart. Conventional manual analysis is time-con...
Evaluation of acute pulmonary embolism and clot burden on CTPA with deep learning.
European radiology
Feb 16, 2020
OBJECTIVES: To take advantage of the deep learning algorithms to detect and calculate clot burden of acute pulmonary embolism (APE) on computed tomographic pulmonary angiography (CTPA).
Assessing and Mitigating Bias in Medical Artificial Intelligence: The Effects of Race and Ethnicity on a Deep Learning Model for ECG Analysis.
Circulation. Arrhythmia and electrophysiology
Feb 16, 2020
BACKGROUND: Deep learning algorithms derived in homogeneous populations may be poorly generalizable and have the potential to reflect, perpetuate, and even exacerbate racial/ethnic disparities in health and health care. In this study, we aimed to (1)...
Development and application of artificial intelligence in cardiac imaging.
The British journal of radiology
Feb 6, 2020
In this review, we describe the technical aspects of artificial intelligence (AI) in cardiac imaging, starting with radiomics, basic algorithms of deep learning and application tasks of algorithms, until recently the availability of the public databa...
Myocardial Infarction
Heart Ventricles
Coronary Disease
Vascular Calcification
Magnetic Resonance Imaging
Adipose Tissue
Heart
Fractional Flow Reserve, Myocardial
Computed Tomography Angiography
Cardiomyopathies
Coronary Stenosis
Humans
Artificial Intelligence
Prognosis
Deep Learning
Algorithms
Databases, Factual
Pyramid feature adaptation for semi-supervised cardiac bi-ventricle segmentation.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Feb 6, 2020
Cardiac bi-ventricle segmentation (BVS) is an essential task for assessing cardiac indices, such as the ejection fraction and volume of the left ventricle (LV) and right ventricle (RV). However, BVS is extremely challenging due to the high variabilit...
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