Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 29% of its field
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.
3 · Its place in the literature
Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
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
16 authors at 1 institution in 1 country.
Philip M LeeUC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, California, USA.ORCID 0000-0002-5783-1599
Hsin-Yu ChenDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0002-2765-1685
Jeremy W GordonDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0003-2760-4886
Zihan ZhuUC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, California, USA.
Peder E Z LarsonUC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, California, USA.ORCID 0000-0003-4183-3634
Nicholas DworkDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0002-9838-4772
Mark Van CriekingeDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
Lucas CarvajalDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
Michael A OhligerDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0001-6878-8189
Zhen J WangDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.
Duan XuUC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, California, USA.ORCID 0000-0003-0550-4235
John KurhanewiczUC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, California, USA.ORCID 0000-0002-3544-5339
Robert A BokDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0003-1737-9056
Rahul AggarwalDepartment of Medicine, University of California, San Francisco, San Francisco, California, USA.
Pamela N MunsterDepartment of Medicine, University of California, San Francisco, San Francisco, California, USA.
Daniel B VigneronUC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, California, USA.ORCID 0000-0001-5795-8699
University of California, San Francisco · US
Funding
TR&D3: Open-Source Tools for Processing Hyperpolarized MR DataP41EB013598 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Daniel B Vigneron · 2011 to 2026
$19.9M
Supplement for Development and Translation of Specialized Hyperpolarized C-13 MRI Methods for Alzheimer's DiseaseU01EB026412 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GORDON, JEREMY WILLIAM, VIGNERON, DANIEL B · 2019 to 2023
$6.6M
Translating HP 13C MRI as a Novel Paradigm for Assessing Drug Target InhibitionR01CA183071 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HURD, RALPH EUGENE, MUNSTER, PAMELA N. · 2014 to 2018
$3.3M
Novel hyperpolarized 13C molecular imaging techniques for differentiating NAFLD and NASHR01DK115987 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI OHLIGER, MICHAEL, VON MORZE, CORNELIUS · 2018 to 2022
purposeTo develop a novel post-processing pipeline for hyperpolarized (HP)
methodsSeven HP
resultsDenoising averages SNR increases of pyruvate, lactate, and alanine were 37.4-, 34.0-, and 20.1-fold, respectively, with lactate and alanine dynamics most noticeably recovered and better defined. In agreement with Monte Carlo simulations, over-flipped regions underestimated k
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.
Specialized computational methods for denoising, B · full record | OpenQuestion