ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2022
Accelerated cardiac T
Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Deep-Learning-Based Image Reconstruction to Improve End-Diastolic and Systolic Cardiac T1 Mapping.Magnetic resonance in medicine · 2026Article
- Free-Running Three-Dimensional Cardiac Extracellular Volume Mapping in a Single Scan With Mid-Scan Contrast Injection.Magnetic resonance in medicine · 2026Article
- Clinical Applications of Artificial Intelligence in Cardiovascular Imaging: Where Do We Stand?Life (Basel, Switzerland) · 2026Review
- Impact of Deep Learning-Based Reconstruction on the Accuracy and Precision of Cardiac Tissue Characterization.Diagnostics (Basel, Switzerland) · 2026Article
- Metrology for MRI: the field you've never heard of.Magma (New York, N.Y.) · 2025Review
- Neural networks with personalized training for improved MOLLI TBMC medical imaging · 2025Article
- Free-breathing 3D cardiac extracellular volume (ECV) mapping using a linear tangent space alignment (LTSA) model.Magnetic resonance in medicine · 2025Article
- [Artificial intelligence in cardiovascular radiology : Image acquisition, image reconstruction and workflow optimization].Radiologie (Heidelberg, Germany) · 2024Article
- Scanner-Independent MyoMapNet for Accelerated Cardiac MRI TJournal of magnetic resonance imaging : JMRI · 2024Article
- Present and Future Innovations in AI and Cardiac MRI.Radiology · 2024Review
- Magnetic resonance myocardial T1ρ mapping : Technical overview, challenges, emerging developments, and clinical applications.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023Review
- Motion-compensated TFrontiers in cardiovascular medicine · 2023Review
- Automated T1 and T2 mapping segmentation on cardiovascular magnetic resonance imaging using deep learning.Frontiers in cardiovascular medicine · 2023Article
- Impact of deep learning architectures on accelerated cardiac TNMR in biomedicine · 2022Article
- Embedded Quantitative MRI TJournal of imaging · 2022Article
- Clinical evaluation of the Multimapping technique for simultaneous myocardial TFrontiers in cardiovascular medicine · 2022Article
- The Road Toward Reproducibility of Parametric Mapping of the Heart: A Technical Review.Frontiers in cardiovascular medicine · 2022Review
- Artificial Intelligence in Cardiovascular Imaging: Current Applications and New Horizons.Journal of cardiovascular echographyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
purposeTo develop and evaluate MyoMapNet, a rapid myocardial T
methodWe implemented an FCNN for MyoMapNet to estimate T
resultsMyoMapNet trained using a combination of native and post-contrast T
conclusionA FCNN, trained using MOLLI data, can estimate 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.