ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2019
Automated analysis of cardiovascular magnetic resonance myocardial native T
Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
63 citing papers in PubMed.
- A Multitask Deep Learning Pipeline for Classifying Hypertrophic Cardiomyopathy and Hypertensive Heart Disease Based on Native T1 Mapping.Journal of imaging informatics in medicine · 2026Article
- The role of artificial intelligence in pediatric cardiovascular imaging: clinical applications and future directions in computed tomography and magnetic resonance imaging.Pediatric radiology · 2026Review
- Deep learning-based segmentation of T1 and T2 cardiac MRI maps for automated disease detection.European radiology · 2026Article
- Towards fully automated synthetic ECV quantification: an open-access machine learning-based approach for fast blood draw-free CMR.Scientific reports · 2026Article
- Review
- Leveraging artificial intelligence for risk stratification of inherited cardiomyopathies in under-resourced settings.Heart rhythm O2 · 2025Article
- Advanced Myocardial MRI Tissue Characterization Combining Contrast Agent-Free T1-Rho Mapping With Fully Automated Analysis.Journal of magnetic resonance imaging : JMRI · 2025Article
- Role of Artificial Intelligence in Congenital Heart Disease and Interventions.Journal of the Society for Cardiovascular Angiography & Interventions · 2025Review
- Artificial Intelligence in Cardiovascular Imaging and Interventional Cardiology: Emerging Trends and Clinical Implications.Journal of the Society for Cardiovascular Angiography & Interventions · 2025Review
- Free-breathing 3D cardiac extracellular volume (ECV) mapping using a linear tangent space alignment (LTSA) model.Magnetic resonance in medicine · 2025Article
- Towards a cardiovascular magnetic resonance foundation model for multi-task cardiac image analysis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025Article
- Review
- Development and performance evaluation of fully automated deep learning-based models for myocardial segmentation on T1 mapping MRI data.Scientific reports · 2024Article
- Multimodal Cardiac Imaging Revisited by Artificial Intelligence: An Innovative Way of Assessment or Just an Aid?Cureus · 2024Review
- The beating heart: artificial intelligence for cardiovascular application in the clinic.Magma (New York, N.Y.) · 2024Review
- Automated segmentation of the left-ventricle from MRI with a fully convolutional network to investigate CTRCD in breast cancer patients.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Present and Future Innovations in AI and Cardiac MRI.Radiology · 2024Review
- Clinical assessment of an AI tool for measuring biventricular parameters on cardiac MR.Frontiers in cardiovascular medicine · 2024Article
- Imaging for the diagnosis of acute myocarditis: can artificial intelligence improve diagnostic performance?Frontiers in cardiovascular medicine · 2024Review
- Synthetic multi-contrast late gadolinium enhancement imaging using post-contrast magnetic resonance fingerprinting.NMR in biomedicine · 2024Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundCardiovascular magnetic resonance (CMR) myocardial native T
methodsA deep fully convolutional neural network (FCN) was used for myocardium segmentation in T
resultsThe FCN achieved fast segmentation (< 0.3 s/image) with high DSC (0.85 ± 0.07). The automatically and manually calculated T
conclusionThe proposed FCN-based image processing platform allows fast and automatic analysis of myocardial native T
Indexed as
Identifiers
What OpenQuestion holds
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.