ArticleFrontiers in neuroinformatics2021
Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach.
Article in Frontiers in neuroinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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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.
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Who cites it
16 citing papers in PubMed.
- A knowledge-guided dual-path framework for automated liver MRI series classification.Abdominal radiology (New York) · 2026Article
- Automated identification of MRI series using a hierarchical modular machine-learning pipeline.European radiology experimental · 2026Article
- Standardizing Heterogeneous MRI Series Description Metadata Using Large Language Models.Journal of imaging informatics in medicine · 2026Article
- A large dataset of brain imaging linked to health systems data: curation and access to a whole system national cohort from NHS Scotland.GigaScience · 2026Article
- Automated MRI protocoling in neuroradiology in the era of large language models.La Radiologia medica · 2025Article
- An open-source repository-based tool for quality control of imaging protocol compliance: demonstration in a multicentre MRI study.The British journal of radiology · 2025Article
- Automated characterization of abdominal MRI exams using deep learning.Scientific reports · 2025Article
- Automatic sequence identification in multicentric prostate multiparametric MRI datasets for clinical machine-learning.Insights into imaging · 2025Article
- Automated Classification of Body MRI Sequences Using Convolutional Neural Networks.Academic radiology · 2025Article
- Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It.Diagnostics (Basel, Switzerland) · 2025Review
- MRISeqClassifier: A Deep Learning Toolkit for Precise MRI Sequence Classification.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025Article
- Classification of Multi-Parametric Body MRI Series Using Deep Learning.IEEE journal of biomedical and health informatics · 2024Article
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- Brain MRI sequence and view plane identification using deep learning.Frontiers in neuroinformatics · 2024Article
- Simulated MRI Artifacts: Testing Machine Learning Failure Modes.BME frontiers · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the wide application of the magnetic resonance imaging (MRI) technique, there are no widely used standards on naming and describing MRI sequences. The absence of consistent naming conventions presents a major challenge in automating image processing since most MRI software require
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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.