ArticleScientific reports2020
Rapid mono and biexponential 3D-T
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Reproducibility of T2 relaxation time mapping in a phantom and human knee articular cartilage.Magma (New York, N.Y.) · 2026Article
- Highly Accelerated TNMR in biomedicine · 2026Article
- CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping.Journal of mathematical imaging and vision · 2025Article
- Article
- Cartilage compositional MRI-a narrative review of technical development and clinical applications over the past three decades.Skeletal radiology · 2024Review
- Improved quantitative parameter estimation for prostate TMagma (New York, N.Y.) · 2024Article
- Updates on Compositional MRI Mapping of the Cartilage: Emerging Techniques and Applications.Journal of magnetic resonance imaging : JMRI · 2023Review
- K2S Challenge: From Undersampled K-Space to Automatic Segmentation.Bioengineering (Basel, Switzerland) · 2023Article
- Optimization of spin-lock times for TScientific reports · 2022Article
- Fast, Accurate, and Robust T2 Mapping of Articular Cartilage by Neural Networks.Diagnostics (Basel, Switzerland) · 2022Article
- Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications.IEEE transactions on computational imaging · 2022Article
- A Fast CS-Based Reconstruction Model with Total Variation Constraint for MRI Enhancement in K-Space Domain.Computational intelligence and neuroscience · 2022Article
- Improving Quantitative Magnetic Resonance Imaging Using Deep Learning.Seminars in musculoskeletal radiology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
In this study we use undersampled MRI acquisition methods to obtain accelerated 3D mono and biexponential spin-lattice relaxation time in the rotating frame (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.