Evidence map›Paper›PMID 36564430›Full record

ArticleScientific reports2022

Region of interest-specific loss functions improve T

Aniket A Tolpadi, Misung Han, Francesco Calivà, Valentina Pedoia, Sharmila Majumdar

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Highly Accelerated TNMR in biomedicine · 2026
    Article
  2. Review
  3. Synthetic Knee MRI TBioengineering (Basel, Switzerland) · 2023
    Article
  4. Article
  5. Review
  6. Review
  7. Article
4 · The record

Corrections and comments

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

5 authors at 1 institution in 1 country.

Aniket A TolpadiDepartment of Radiology and Biomedical Imaging, University of California, 1700, 4th Street, San Francisco, CA, 94158, USA. Aniket.Tolpadi@ucsf.edu.
Misung HanDepartment of Radiology and Biomedical Imaging, University of California, 1700, 4th Street, San Francisco, CA, 94158, USA.
Francesco CalivàDepartment of Radiology and Biomedical Imaging, University of California, 1700, 4th Street, San Francisco, CA, 94158, USA.
Valentina PedoiaDepartment of Radiology and Biomedical Imaging, University of California, 1700, 4th Street, San Francisco, CA, 94158, USA.
Sharmila MajumdarDepartment of Radiology and Biomedical Imaging, University of California, 1700, 4th Street, San Francisco, CA, 94158, USA.
University of California, San Francisco · US

Funding

Technology Research Site for Advanced, Faster Quantitative Imaging for BACPACUH3AR076724 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAJUMDAR, SHARMILA · 2020 to 2023
$4.8M
Ultra-Fast Knee MRI with Deep LearningR01AR078762 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAJUMDAR, SHARMILA · 2021 to 2025
$2.8M
Technology Research Site for Advanced, Faster Quantitative Imaging for BACPACUH2AR076724 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAJUMDAR, SHARMILA · 2019 to 2019
$514k
NIAMS NIH HHS R01 AR078762NIAMS NIH HHS UH2 AR076724NIAMS NIH HHS UH3 AR076724
6 · The paper itself

Abstract

MRI T

Indexed as

Cartilage, ArticularIntervertebral DiscHumansKneeKnee JointLumbar VertebraeMagnetic Resonance Imaging

Identifiers

PMID36564430
PMCPMC9789075
OpenAlexW4312100655

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.