ArticlemedRxiv : the preprint server for health sciences2023
Improved Quantitative Parameter Estimation for Prostate T2 Relaxometry using Convolutional Neural Networks.
Patrick J Bolan, Sara L Saunders, Kendrick Kay, Mitchell Gross, Mehmet Akcakaya, Gregory J Metzger
Abstract readPreprint
In one paragraphArticle in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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 registryThe 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.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
5 · Who and what moneyAuthors and funding
6 authors.
Patrick J BolanCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis MN.
Sara L SaundersDepartment of Biomedical Engineering, University of Minnesota, Minneapolis MN.
Kendrick KayCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis MN.
Mitchell GrossDepartment of Biomedical Engineering, University of Minnesota, Minneapolis MN.
Mehmet AkcakayaCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis MN.
Gregory J MetzgerCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis MN.
Funding
TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Gregory John Metzger, KAMIL UGURBIL · 2019 to 2026
$11.7MComputer Aided Diagnostic System for Prostate Cancer Detection Using Quantitative Multiparametric MRIR01CA241159 · NCI · UNIVERSITY OF MINNESOTA · PI METZGER, GREGORY JOHN · 2021 to 2025
$3.0MRapid Comprehensive Cardiac MRI Exam for Diagnosis of Coronary Artery DiseaseR01HL153146 · NHLBI · UNIVERSITY OF MINNESOTA · PI AKCAKAYA, MEHMET · 2020 to 2024
$2.5MDevelopment of Enabling Technologies for Clinical Ultrahigh Field Body MRIR01EB029985 · NIBIB · UNIVERSITY OF MINNESOTA · PI METZGER, GREGORY JOHN · 2021 to 2024
$2.4MNovel Quantitative MRI Techniques for the Assessment of Cardiac Fibrosis without Gadolinium ContrastR21EB028369 · NIBIB · UNIVERSITY OF MINNESOTA · PI AKCAKAYA, MEHMET · 2020 to 2022
$602kHigh Performance Connectome Upgrade for Human 3T MR ScannerS10OD017974 · OD · UNIVERSITY OF MINNESOTA · PI LIM, KELVIN O. · 2014 to 2014
$600kNCI NIH HHS R01 CA241159NHLBI NIH HHS R01 HL153146NIBIB NIH HHS P41 EB027061NIBIB NIH HHS R01 EB029985NIBIB NIH HHS R21 EB028369NIH HHS S10 OD017974
6 · The paper itselfAbstract
This work seeks to evaluate multiple methods for quantitative parameter estimation from standard T
Indexed as
Neural networksProstate MRIRelaxometryT2 mapping
Identifiers
PMID36711813
PMCPMC9882442
What OpenQuestion holds
Textmetadata
LicenceCC BY
Read underepoch 390