ArticleNMR in biomedicine2022
Impact of deep learning architectures on accelerated cardiac T
Article in NMR in biomedicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Model-based deep learning with fully connected neural networks for accelerated magnetic resonance parameter mapping.International journal of computer assisted radiology and surgery · 2025Article
- Free-breathing 3D cardiac extracellular volume (ECV) mapping using a linear tangent space alignment (LTSA) model.Magnetic resonance in medicine · 2025Article
- Unsupervised Deep Learning for Synthetic CT Generation from CBCT Images for Proton and Carbon Ion Therapy for Paediatric Patients.Sensors (Basel, Switzerland) · 2024Article
- MSMTRIU-Net: Deep Learning-Based Method for Identifying Rice Cultivation Areas Using Multi-Source and Multi-Temporal Remote Sensing Images.Sensors (Basel, Switzerland) · 2024Article
- [Artificial intelligence in cardiovascular radiology : Image acquisition, image reconstruction and workflow optimization].Radiologie (Heidelberg, Germany) · 2024Article
- Exploratory Analysis Using Deep Learning for Water-Body Segmentation of Peru's High-Mountain Remote Sensing Images.Sensors (Basel, Switzerland) · 2024Article
- Present and Future Innovations in AI and Cardiac MRI.Radiology · 2024Review
- Scanner-Independent MyoMapNet for Accelerated Cardiac MRI TJournal of magnetic resonance imaging : JMRI · 2024Article
- ECG-based convolutional neural network in pediatric obstructive sleep apnea diagnosis.Computers in biology and medicine · 2023Article
- MMST: A Multi-Modal Ground-Based Cloud Image Classification Method.Sensors (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
The objective of the current study was to investigate the performance of various deep learning (DL) architectures for MyoMapNet, a DL model for 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.