ArticleFrontiers in bioengineering and biotechnology2020
Atherosclerotic Plaque Tissue Characterization: An OCT-Based Machine Learning Algorithm With
Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 19 citations in OpenAlex.
- Multi-Omics and Machine Learning Integration Identifies Key Endothelial Modules in Carotid Artery Stenosis.Journal of clinical laboratory analysis · 2026Article
- Artificial intelligence in carotid computed tomography angiography plaque detection: Decade of progress and future perspectives.World journal of radiology · 2025Review
- Examination of the performance of machine learning-based automated coronary plaque characterization by near-infrared spectroscopy-intravascular ultrasound and optical coherence tomography with histology.European heart journal. Digital health · 2025Article
- Article
- Intracoronary Optical Coherence Tomography: Technological Innovations and Clinical Implications in Cardiology.Current treatment options in cardiovascular medicine · 2025Review
- An Unsupervised Learning Tool for Plaque Tissue Characterization in Histopathological Images.Sensors (Basel, Switzerland) · 2024Article
- Symmetry and asymmetry in atherosclerosis.International journal of occupational medicine and environmental health · 2023Review
- Novel Imaging-Based Biomarkers for Identifying Carotid Plaque Vulnerability.Biomolecules · 2023Review
- Optical Coherence Tomography in Cerebrovascular Disease: Open up New Horizons.Translational stroke research · 2023Review
- Artificial intelligence in atherosclerotic disease: Applications and trends.Frontiers in cardiovascular medicine · 2022Review
- Ovarian cancer detection using optical coherence tomography and convolutional neural networks.Neural computing & applications · 2022Article
- Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: a narrative review for stroke application.Annals of translational medicine · 2021Review
- Histopathology-Based Deep-Learning Predicts Atherosclerotic Lesions in Intravascular Imaging.Frontiers in cardiovascular medicine · 2021Article
- Coronary Plaque Characterization From Optical Coherence Tomography Imaging With a Two-Pathway Cascade Convolutional Neural Network Architecture.Frontiers in cardiovascular medicine · 2021Article
- Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
There is a need to develop a validated algorithm for plaque characterization which can help to facilitate the standardization of optical coherence tomography (OCT) image interpretation of plaque morphology, and improve the efficiency and accuracy in the application of OCT imaging for the quantitative assessment of plaque vulnerability. In this study, a machine learning algorithm was implemented for characterization of atherosclerotic plaque components by intravascular OCT using
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.