Automated diagnosis of cardiovascular diseases from cardiac magnetic resonance imaging using deep learning models: A review

M Jafari, A Shoeibi, M Khodatars, N Ghassemi… - Computers in Biology …, 2023 - Elsevier
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 …

A powerful paradigm for cardiovascular risk stratification using multiclass, multi-label, and ensemble-based machine learning paradigms: A narrative review

JS Suri, M Bhagawati, S Paul, AD Protogerou… - Diagnostics, 2022 - mdpi.com
Abstract Background and Motivation: Cardiovascular disease (CVD) causes the highest
mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment …

Automatic diagnosis of myocarditis disease in cardiac MRI modality using deep transformers and explainable artificial intelligence

M Jafari, A Shoeibi, N Ghassemi, J Heras… - arxiv preprint arxiv …, 2022 - arxiv.org
Myocarditis is a significant cardiovascular disease (CVD) that poses a threat to the health of
many individuals by causing damage to the myocardium. The occurrence of microbes and …

RETRACTED ARTICLE: Denoising transthoracic echocardiographic images in regional wall motion abnormality using deep learning techniques

AS Beevi, S Ratheesha, S Kalady, JJ Chackola - Soft Computing, 2023 - Springer
Image analysis and classification perform well in pre-processed noise-free images than in
corrupted images. Synthetic aperture radar (SAR) images, Ultrasound (US) medical images …

[HTML][HTML] Artificial Intelligence in Imaging for Personalized Management of Coronary Artery Disease

A Bednarek, K Gumiężna, P Baruś, J Kochman… - Journal of Clinical …, 2025 - mdpi.com
The precision of imaging and the number of other risk-assessing and diagnostic methods
are constantly growing, allowing for the uptake of additional strategies for individualized …

[HTML][HTML] Optimizing Cardiovascular Health Monitoring with IoT-Enabled Sensors and AI: A Focus on Obesity-Induced Cardiovascular Risks in Young Adults

M Chan, Y Yu, P Chang, TY Chen, HL Wong… - Electronics, 2024 - mdpi.com
With shifts in lifestyle and dietary patterns, obesity has become an increasing health issue
among younger demographics, particularly affecting young adults. This trend is strongly …

Cardiac Fibrosis Automated Diagnosis Based on FibrosisNet Network Using CMR Ischemic Cardiomyopathy

M Bekheet, M Sallah, NS Alghamdi, R Rusu-Both… - Diagnostics, 2024 - mdpi.com
Ischemic heart condition is one of the most prevalent causes of death that can be treated
more effectively and lead to fewer fatalities if identified early. Heart muscle fibrosis affects the …

Comparative Analysis of EfficientNet Models for Differentiation of Ischemic and Non-Ischemic Diabetic Foot Ulcers

M Muthulakshmi, RA Laasya - 2023 IEEE 20th India Council …, 2023 - ieeexplore.ieee.org
Diabetic Foot Ulcers (DFUs) is a consequence of diabetes, requiring early and accurate
classification to prevent amputations. Non-ischemic wounds are easier to cure than …

Recent trends of left and right ventricle segmentation in cardiac mri using deep learning

D Irmawati, O Wahyunggoro… - 2020 12th International …, 2020 - ieeexplore.ieee.org
Clinical indications of heart disease are shown from left ventricle (LV) or right ventricle (RV)
volume measurements of cardiac MRI images. LV and RV segmentation of cardiac MRI …

Comparing the accuracy of a convolutional neural network algorithm with K-nearest neighbors algorithm for the cardiac diagnosis

C Krupadanam, R Narendran… - AIP Conference …, 2024 - pubs.aip.org
The primary objective of this research is to enhance the accuracy of identifying cardiac
conditions through machine learning applied to medical images. To achieve this goal, a …