ArticleImaging neuroscience (Cambridge, Mass.)2023
Application of a
Article in Imaging neuroscience (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Real-time AI integration for MR to detect artifacts and guide pulse sequence adaptations.bioRxiv : the preprint server for biology · 2026Article
- Identifying Out-of-Voxel Echoes in Edited MRS With Phase Cycle Inversion.Magnetic resonance in medicine · 2026Article
- A data-driven algorithm to determineMagnetic resonance in medicine · 2026Article
- Identifying out-of-voxel echoes in edited MRS with phase cycle inversion.bioRxiv : the preprint server for biology · 2025Article
- NNFit: A Self-Supervised Deep Learning Method for Accelerated Quantification of High-Resolution Short-Echo-Time MR Spectroscopy Datasets.Radiology. Artificial intelligence · 2025Article
- Simultaneous multi-transient linear-combination modeling of MRS data improves uncertainty estimation.Magnetic resonance in medicine · 2024Article
- Simultaneous multi-transient linear-combination modeling of MRS data improves uncertainty estimation.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
- Update ofApplication of a2023
Authors and funding
11 authors.
Funding
Abstract
Neural networks are potentially valuable for many of the challenges associated with MRS data. The purpose of this manuscript is to describe the AGNOSTIC dataset, which contains 259,200 synthetic
Indexed as
Identifiers
What Socratic 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 Socratic graph.