Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review
In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of
mortality globally. At early stages, CVDs appear with minor symptoms and progressively get …
mortality globally. At early stages, CVDs appear with minor symptoms and progressively get …
[HTML][HTML] Multi-modality cardiac image computing: A survey
Multi-modality cardiac imaging plays a key role in the management of patients with
cardiovascular diseases. It allows a combination of complementary anatomical …
cardiovascular diseases. It allows a combination of complementary anatomical …
Encoder modified U-net and feature pyramid network for multi-class segmentation of cardiac magnetic resonance images
Cardiovascular diseases are leading cause of death worldwide. Timely and accurate
detection of disease is required to reduce load on healthcare system and number of deaths …
detection of disease is required to reduce load on healthcare system and number of deaths …
Image‐Based Biological Heart Age Estimation Reveals Differential Aging Patterns Across Cardiac Chambers
Background Biological heart age estimation can provide insights into cardiac aging.
However, existing studies do not consider differential aging across cardiac regions. Purpose …
However, existing studies do not consider differential aging across cardiac regions. Purpose …
Automatic diagnosis of myocarditis disease in cardiac MRI modality using deep transformers and explainable artificial intelligence
Myocarditis is among the most important cardiovascular diseases (CVDs), endangering the
health of many individuals by damaging the myocardium. Microbes and viruses, such as …
health of many individuals by damaging the myocardium. Microbes and viruses, such as …
Accurate and efficient 3D reconstruction of right heart shape and motion from multi-series cine-MRI
The accurate reconstruction of the right heart geometry and motion from time-resolved
medical images enhances diagnostic tools based on image visualization as well as the …
medical images enhances diagnostic tools based on image visualization as well as the …
A fusion‐attention swin transformer for cardiac MRI image segmentation
R Yang, K Liu, Y Liang - IET Image Processing, 2024 - Wiley Online Library
For semantic segmentation of cardiac magnetic resonance image (MRI) with low recognition
and high background noise, a fusion‐attention Swin Transformer is proposed based on …
and high background noise, a fusion‐attention Swin Transformer is proposed based on …
Right ventricular segmentation from short-and long-axis mris via information transition
Right ventricular (RV) segmentation from magnetic resonance imaging (MRI) is a crucial
step for cardiac morphology and function analysis. However, automatic RV segmentation …
step for cardiac morphology and function analysis. However, automatic RV segmentation …
Fully Automatic initialization and segmentation of left and right ventricles for large-scale cardiac MRI using a deeply supervised network and 3D-ASM
H Hu, N Pan, AF Frangi - Computer Methods and Programs in Biomedicine, 2023 - Elsevier
Background and objective The sheer volume of data generated by population imaging
studies is unparalleled by current capabilities to extract objective and quantitative cardiac …
studies is unparalleled by current capabilities to extract objective and quantitative cardiac …
IoT Based Prediction of Active and Passive Earth Pressure Coefficients Using Artificial Neural Networks
Abstract Internet of Things (IoT) combined with Artificial intelligence (AI) applied to data-
centric systems has demonstrated excellent predictive capabilities compared to …
centric systems has demonstrated excellent predictive capabilities compared to …