ArticleMagnetic resonance in medicine2020
Fast and accurate calculation of myocardial T
Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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.
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Who cites it
17 citing papers in PubMed.
- Spatial-temporal and physical constrained deep learning model for simultaneous T1 and T2 reconstruction and mapping (STEP).Quantitative imaging in medicine and surgery · 2026Article
- 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
- Scanner-Independent MyoMapNet for Accelerated Cardiac MRI TJournal of magnetic resonance imaging : JMRI · 2024Article
- The future of cardiovascular magnetic resonance: All-in-one vs. real-time (Part 1).Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024Review
- Rapid anatomical imaging of the neonatal brain using TMagnetic resonance in medicine · 2023Article
- Uncertainty-aware physics-driven deep learning network for free-breathing liver fat and RMagnetic resonance in medicine · 2023Article
- Cascade of Denoising and Mapping Neural Networks for MRI R2* Relaxometry of Iron-Loaded Liver.Bioengineering (Basel, Switzerland) · 2023Article
- Impact of deep learning architectures on accelerated cardiac TNMR in biomedicine · 2022Article
- Deep Learning and Its Application to Function Approximation for MR in Medicine: An Overview.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022Review
- Fast, Accurate, and Robust T2 Mapping of Articular Cartilage by Neural Networks.Diagnostics (Basel, Switzerland) · 2022Article
- Accelerated cardiac TJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2022Article
- Simultaneous multi-parametric acquisition and reconstruction techniques in cardiac magnetic resonance imaging: Basic concepts and status of clinical development.Frontiers in cardiovascular medicine · 2022Review
- Clinical evaluation of the Multimapping technique for simultaneous myocardial TFrontiers in cardiovascular medicine · 2022Article
- Deep learning reconstruction for cardiac magnetic resonance fingerprinting TMagnetic resonance in medicine · 2021Article
- Fast and accurate calculation of myocardial TMagnetic resonance in medicine · 2020Article
- Artificial Intelligence in Cardiovascular Imaging: Current Applications and New Horizons.Journal of cardiovascular echographyReview
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
purposeTo propose and evaluate a deep learning model for rapid and accurate calculation of myocardial T
methodsDeep learning Bloch equation simulations (DeepBLESS) models are proposed for rapid and accurate T
resultsAfter DeepBLESS was trained, in phantom studies, DeepBLESS and BLESSPC achieved similar accuracy and precision in T
conclusionThe DeepBLESS model offers an almost instantaneous approach for estimating accurate T
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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.