ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2020
Predicting
Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- Advances in imaging studies of contusion penumbra.IBRO neuroscience reports · 2026Review
- Optimization of deep learning-based denoising for arterial spin labeling: Effects of averaging and training strategies.Magnetic resonance in medicine · 2025Article
- Recommendations for quantitative cerebral perfusion MRI using multi-timepoint arterial spin labeling: Acquisition, quantification, and clinical applications.Magnetic resonance in medicine · 2024Review
- The Role of Artificial Intelligence-Powered Imaging in Cerebrovascular Accident Detection.Cureus · 2024Review
- Turning brain MRI into diagnostic PET:Medical image analysis · 2024Article
- Ethical Considerations and Fairness in the Use of Artificial Intelligence for Neuroradiology.AJNR. American journal of neuroradiology · 2023Review
- Revascularization improves vascular hemodynamics - a study assessing cerebrovascular reserve and transit time in Moyamoya patients using MRI.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023Article
- Anatomical Modeling and Optimization of Speckle Contrast Optical Tomography.bioRxiv : the preprint server for biology · 2023Article
- Generative Adversarial Network-Enhanced Ultra-Low-Dose [AJNR. American journal of neuroradiology · 2023Article
- A review on AI in PET imaging.Annals of nuclear medicine · 2022Review
- Application of artificial intelligence in brain molecular imaging.Annals of nuclear medicine · 2022Review
- Prediction of an oxygen extraction fraction map by convolutional neural network: validation of input data among MR and PET images.International journal of computer assisted radiology and surgery · 2021Article
- Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade Gliomas by Using Three-dimensional Fully Convolutional Neural Networks.Radiology. Artificial intelligence · 2021Article
- Application and Construction of Deep Learning Networks in Medical Imaging.IEEE transactions on radiation and plasma medical sciences · 2021Article
- Generalization of deep learning models for ultra-low-count amyloid PET/MRI using transfer learning.European journal of nuclear medicine and molecular imaging · 2020Article
- Individual Cerebral Blood Flow Responses to Transcranial Direct Current Stimulation at Various Intensities.Brain sciences · 2020Article
- Quantification of brain oxygen extraction and metabolism with [NeuroImage · 2020Review
- Predicting PET Cerebrovascular Reserve with Deep Learning by Using Baseline MRI: A Pilot Investigation of a Drug-Free Brain Stress Test.Radiology · 2020Article
- Artificial Intelligence in Neuroradiology: Current Status and Future Directions.AJNR. American journal of neuroradiology · 2020Article
- Imaging Transcranial Direct Current Stimulation (tDCS) with Positron Emission Tomography (PET).Brain sciences · 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
To improve the quality of MRI-based cerebral blood flow (CBF) measurements, a deep convolutional neural network (dCNN) was trained to combine single- and multi-delay arterial spin labeling (ASL) and structural images to predict gold-standard
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.