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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] Improving the efficiency and accuracy of cardiovascular magnetic resonance with artificial intelligence—review of evidence and proposition of a roadmap to …
Background Cardiovascular magnetic resonance (CMR) is an important imaging modality
for the assessment of heart disease; however, limitations of CMR include long exam times …
for the assessment of heart disease; however, limitations of CMR include long exam times …
ELRL-MD: a deep learning approach for myocarditis diagnosis using cardiac magnetic resonance images with ensemble and reinforcement learning integration
AMM Kasmaee, A Ataei, SV Moravvej… - Physiological …, 2024 - iopscience.iop.org
Objective. Myocarditis poses a significant health risk, often precipitated by viral infections
like coronavirus disease, and can lead to fatal cardiac complications. As a less invasive …
like coronavirus disease, and can lead to fatal cardiac complications. As a less invasive …
Automatic transportation mode classification using a deep reinforcement learning approach with smartphone sensors
The increasing dependence on smartphones with advanced sensors has highlighted the
imperative of precise transportation mode classification, pivotal for domains like health …
imperative of precise transportation mode classification, pivotal for domains like health …
GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM
L Hong, MH Modirrousta… - CAAI Transactions …, 2023 - Wiley Online Library
Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their
structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is …
structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is …
Myocarditis diagnosis: a method using mutual learning-based abc and reinforcement learning
S Danaei, A Bostani, SV Moravvej… - 2022 IEEE 22nd …, 2022 - ieeexplore.ieee.org
Myocarditis occurs when the heart muscle becomes inflamed and inflammation occurs when
your body's immune system responds to infections. It can be diagnosed using cardiac …
your body's immune system responds to infections. It can be diagnosed using cardiac …
Wastewater treatment monitoring: Fault detection in sensors using transductive learning and improved reinforcement learning
Wastewater treatment plants (WWTPs) increasingly utilize sensors to optimize operations
and ensure treated water quality. These sensors' rich datasets are well-suited for automated …
and ensure treated water quality. These sensors' rich datasets are well-suited for automated …
Stock market prediction with transductive long short-term memory and social media sentiment analysis
A Peivandizadeh, S Hatami, A Nakhjavani… - IEEE …, 2024 - ieeexplore.ieee.org
In an era dominated by digital communication, the vast amounts of data generated from
social media and financial markets present unique opportunities and challenges for …
social media and financial markets present unique opportunities and challenges for …
An adaptation of hybrid binary optimization algorithms for medical image feature selection in neural network for classification of breast cancer
The performance of neural network is largely dependent on their capability to extract very
discriminant features supporting the characterization of abnormalities in the medical image …
discriminant features supporting the characterization of abnormalities in the medical image …
[HTML][HTML] A Novel Method for 3D Lung Tumor Reconstruction Using Generative Models
Background: Lung cancer remains a significant health concern, and the effectiveness of
early detection significantly enhances patient survival rates. Identifying lung tumors with high …
early detection significantly enhances patient survival rates. Identifying lung tumors with high …