ArticleMagnetic resonance in medicine2021
Deep learning reconstruction for cardiac magnetic resonance fingerprinting T
Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed.
- Physics-informed optimization of saturation-transfer MRI protocols using non-differentiable Bloch models.Physics in medicine and biology · 2026Article
- Artificial Intelligence and the Expanding Universe of Cardio-Oncology: Beyond Detection Toward Prediction and Prevention of Therapy-Related Cardiotoxicity-A Comprehensive Review.Diagnostics (Basel, Switzerland) · 2026Review
- Highly Accelerated TNMR in biomedicine · 2026Article
- Impact of Deep Learning-Based Reconstruction on the Accuracy and Precision of Cardiac Tissue Characterization.Diagnostics (Basel, Switzerland) · 2026Article
- Promises and challenges of AI-enabled methods for myocardial characterisation in cardiovascular magnetic resonance.Frontiers in cardiovascular medicine · 2026Review
- Open-source cardiac magnetic resonance fingerprinting.Magma (New York, N.Y.) · 2025Article
- Neural networks with personalized training for improved MOLLI TBMC medical imaging · 2025Article
- Artificial Intelligence to Enhance Precision Medicine in Cardio-Oncology: A Scientific Statement From the American Heart Association.Circulation. Genomic and precision medicine · 2025Review
- Free-breathing 3D cardiac extracellular volume (ECV) mapping using a linear tangent space alignment (LTSA) model.Magnetic resonance in medicine · 2025Article
- Use of AI in Cardiac CT and MRI: A Scientific Statement from the ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA.Radiology · 2025Review
- Cardiac MR Fingerprinting: Overview, Technical Developments, and Applications.Journal of magnetic resonance imaging : JMRI · 2024Review
- Accelerated Cartesian cardiac T2 mapping based on a calibrationless locally low-rank tensor constraint.Quantitative imaging in medicine and surgery · 2024Article
- Emerging Trends in Magnetic Resonance Fingerprinting for Quantitative Biomedical Imaging Applications: A Review.Bioengineering (Basel, Switzerland) · 2024Review
- 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
- Scanner-Independent MyoMapNet for Accelerated Cardiac MRI TJournal of magnetic resonance imaging : JMRI · 2024Article
- A deep learning method for the automated assessment of paradoxical pulsation after myocardial infarction using multicenter cardiac MRI data.European radiology · 2023Article
- Cardiovascular magnetic resonance (CMR) and positron emission tomography (PET) imaging in the diagnosis and follow-up of patients with acute myocarditis and chronic inflammatory cardiomyopathy : A review paper with practical recommendations on behalf of the European Society of Cardiovascular Radiology (ESCR).The international journal of cardiovascular imaging · 2023Review
- Only-train-once MR fingerprinting for BMagnetic resonance in medicine · 2023Article
- Deep Learning-Based Reconstruction for Cardiac MRI: A Review.Bioengineering (Basel, Switzerland) · 2023Review
- Cardiac Magnetic Resonance Fingerprinting: Potential Clinical Applications.Current cardiology reports · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
purposeTo develop a deep learning method for rapidly reconstructing T
methodsA neural network was developed that outputs T
resultsIn simulations, the normalized root-mean-square error (nRMSE) for T
conclusionA neural network is introduced for reconstructing cMRF 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.