AIMC Topic: Heart

Clear Filters Showing 1 to 10 of 474 articles

A review of machine learning applications in heart health.

Biomedical engineering online Aug 11, 2025
The application of machine learning in healthcare continues to gain attention as researchers attempt to prove its potential for the enhancement of diagnosis and prognosis accuracy. Although many applications of machine learning have been well studied...
Heart Stroke Health Humans Machine Learning
View on PubMed DOI

Semi-supervised medical image segmentation based on multi-stage iterative training and high-confidence pseudo-labeling.

Biomedical physics & engineering express Aug 6, 2025
Due to the scarcity and high cost of pixel-level annotations for training data, semi-supervised learning has gradually become a key solution. Most existing methods rely on consistency regularization and pseudo-label generation, often adopting multi-b...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Heart Algorithms Reproducibility of Results Supervised Machine Learning Humans
View on PubMed DOI

Investigating methods to enhance interpretability and performance in cardiac MRI for myocardial scarring diagnosis using convolutional neural network classification and One Match.

PloS one Jun 9, 2025
Machine learning (ML) classification of myocardial scarring in cardiac MRI is often hindered by limited explainability, particularly with convolutional neural networks (CNNs). To address this, we developed One Match (OM), an algorithm that builds on ...
Myocardium Heart Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Cicatrix Algorithms Female Aged Male Middle Aged Convolutional Neural Networks Humans Neural Networks, Computer Machine Learning
View on PubMed DOI

Aging at the Crossroads of Organ Interactions: Implications for the Heart.

Circulation research May 22, 2025
Aging processes underlie common chronic cardiometabolic diseases such as heart failure and diabetes. Cross-organ/tissue interactions can accelerate aging through cellular senescence, tissue wasting, accelerated atherosclerosis, increased vascular sti...
Oxidative Stress Heart Cellular Senescence Humans Animals Aging
View on PubMed DOI

Integrating anatomy and electrophysiology in the healthy human heart: Insights from biventricular statistical shape analysis using universal coordinates.

Computers in biology and medicine May 4, 2025
A cardiac digital twin is a virtual replica of a patient-specific heart, mimicking its anatomy and physiology. A crucial step of building a cardiac digital twin is anatomical twinning, where the computational mesh of the digital twin is tailored to t...
Middle Aged Electrocardiography Female Heart Adult Heart Ventricles Male Models, Cardiovascular Humans Tomography, X-Ray Computed
View on PubMed DOI

Semi-Supervised Echocardiography Video Segmentation via Adaptive Spatio-Temporal Tensor Semantic Awareness and Memory Flow.

IEEE transactions on medical imaging May 2, 2025
Accurate segmentation of cardiac structures in echocardiography videos is vital for diagnosing heart disease. However, challenges such as speckle noise, low spatial resolution, and incomplete video annotations hinder the accuracy and efficiency of se...
Supervised Machine Learning Image Interpretation, Computer-Assisted Semantics Humans Echocardiography Algorithms Image Processing, Computer-Assisted Heart
View on PubMed DOI

Feedback Attention to Enhance Unsupervised Deep Learning Image Registration in 3D Echocardiography.

IEEE transactions on medical imaging May 2, 2025
Cardiac motion estimation is important for assessing the contractile health of the heart, and performing this in 3D can provide advantages due to the complex 3D geometry and motions of the heart. Deep learning image registration (DLIR) is a robust wa...
Humans Algorithms Female Unsupervised Machine Learning Heart Adult Echocardiography, Three-Dimensional Deep Learning
View on PubMed DOI

Spatiotemporal Implicit Neural Representation for Unsupervised Dynamic MRI Reconstruction.

IEEE transactions on medical imaging May 2, 2025
Supervised Deep-Learning (DL)-based reconstruction algorithms have shown state-of-the-art results for highly-undersampled dynamic Magnetic Resonance Imaging (MRI) reconstruction. However, the requirement of excessive high-quality ground-truth data hi...
Unsupervised Machine Learning Humans Heart Neural Networks, Computer Algorithms Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging
View on PubMed DOI

Self-supervised learning for label-free segmentation in cardiac ultrasound.

Nature communications Apr 30, 2025
Segmentation and measurement of cardiac chambers from ultrasound is critical, but laborious and poorly reproducible. Neural networks can assist, but supervised approaches require the same problematic manual annotations. We build a pipeline for self-s...
Heart Ventricles Female Supervised Machine Learning Echocardiography Humans Deep Learning Reproducibility of Results Neural Networks, Computer Image Processing, Computer-Assisted Male Magnetic Resonance Imaging Heart
View on PubMed DOI

An end-to-end neural network for 4D cardiac CT reconstruction using single-beat scans.

Physics in medicine and biology Apr 22, 2025
Motion artifacts remain a significant challenge in cardiac CT imaging, often impairing the accurate detection and diagnosis of cardiac diseases. These artifacts result from involuntary cardiac motion, and traditional mitigation methods typically rely...
Humans Signal-To-Noise Ratio Neural Networks, Computer Phantoms, Imaging Image Processing, Computer-Assisted Deep Learning Four-Dimensional Computed Tomography Heart Artifacts
View on PubMed DOI
Popular Topics
Recent Journals