Article in Meta-radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
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.
2 · The registry
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.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
6 authors.
Zhengyi LuDepartment of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA.
Hao LiangVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Ming LuVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Xiao WangComputational Science and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Xinqiang YanVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Yuankai HuoDepartment of Computer Science, Vanderbilt University, Nashville, TN, USA.
Funding
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRIR01EB017230 · NIBIB · VANDERBILT UNIVERSITY · PI LANDMAN, BENNETT A. · 2015 to 2024
$5.1M
RESOLUTION OF GLOMERULOSCLEROSISR01DK056942 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI FOGO, AGNES B. · 2001 to 2021
$4.9M
Complementary ex vivo multimodal optical imaging and in vivo Raman spectroscopy to understand tissue dynamicsR01EB033385 · NIBIB · VANDERBILT UNIVERSITY · PI MAHADEVAN-JANSEN, ANITA, REESE, JOHN JEFFREY · 2022 to 2025
$2.6M
AI-empowered 3D Computer Vision and Image-Omics Integration for Digital Kidney HistopathologyR01DK135597 · NIDDK · VANDERBILT UNIVERSITY · PI Yuankai Huo · 2023 to 2026
$2.1M
Upgrade and Refurbishment of a 7T MRI Scanner for ResearchS10OD030389 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2021 to 2021
$2.0M
Integrated Next-generation RF Transmit, Receive and B0 shimming coil system for brain and spinal cord MRI at 7 TeslaR01EB031078 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI YAN, XINQIANG · 2022 to 2025
$1.7M
Dual-wavelength endoscopic Raman probe for eosinophilic esophagitisR01DK132338 · NIDDK · VANDERBILT UNIVERSITY · PI MAHADEVAN-JANSEN, ANITA · 2022 to 2025
$1.7M
fMRI physiological signatures of aging and Alzheimer's DiseaseRF1MH125931 · NIMH · VANDERBILT UNIVERSITY · PI CHANG, CATHERINE ELIZABETH · 2021 to 2021
$1.1M
Passive antennas for improved image quality in transcranial MR-guided focused ultrasoundR21EB029639 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI YAN, XINQIANG · 2020 to 2022
$675k
Miniature and integrable balun for light-weight and flexible MRI RF coilsR03EB034366 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI YAN, XINQIANG · 2023 to 2024
Ultrahigh field (UHF) Magnetic Resonance Imaging (MRI) offers an elevated signal-to-noise ratio (SNR), enabling exceptionally high spatial resolution that benefits both clinical diagnostics and advanced research. However, the jump to higher fields introduces complications, particularly transmit radiofrequency (RF) field (
Indexed as
Deep learningMagnetic field inhomogeneityRF shimming design
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.
Fast-RF-Shimming: Accelerate RF shimming in 7T MRI using deep learning. · full record | OpenQuestion