Evidence map›Paper›PMID 38247894›Full record

ArticleBioengineering (Basel, Switzerland)2023

Synthetic Knee MRI T

Michelle W Tong, Aniket A Tolpadi, Rupsa Bhattacharjee, Misung Han, Sharmila Majumdar, Valentina Pedoia

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

Article in Bioengineering (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Artificial intelligence in musculoskeletal applications: a primer for radiologists.Diagnostic and interventional radiology (Ankara, Turkey) · 2025
    Review
  4. 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

6 authors at 1 institution in 1 country.

Michelle W TongDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0001-8766-7542
Aniket A TolpadiDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0002-3974-4838
Rupsa BhattacharjeeDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0001-9893-3527
Misung HanDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA.
Sharmila MajumdarDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA.
Valentina PedoiaDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, 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
NIAMS NIH HHS R01 AR078762NIAMS NIH HHS UH3 AR076724NIH HHS R01AR078762NIH HHS UH3AR076724
6 · The paper itself

Abstract

A 2D U-Net was trained to generate synthetic T

Indexed as

CNNdeep learninggenerative AIkneeMRIosteoarthritissynthesisT1p mapT2 mapU-Net

Identifiers

PMID38247894
PMCPMC10812962
OpenAlexW4390176516

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.