Evidence map›Paper›PMID 42006773›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Hierarchical Barycentric Multimodal Representation Learning for Medical Image Analysis.

Peijie Qiu, Zhaoqi An, Sungmin Ha, Sayantan Kumar, Xiaobing Yu, Aristeidis Sotiras

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. 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
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Peijie QiuMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-1591-5436
Zhaoqi AnMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-5182-1904
Sungmin HaMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
Sayantan KumarDivision of Intramural Research, National Library of Medicine, Bethesda, MD, USA.ORCID 0000-0001-7213-0734
Xiaobing YuMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0003-3270-0573
Aristeidis SotirasMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0003-0795-8820

Funding

Advanced machine learning algorithms that integrate multi-modal neuroimaging to quantify the heterogeneity in Alzheimer's DiseaseR01AG067103 · NIA · WASHINGTON UNIVERSITY · PI SOTIRAS, ARISTEIDIS · 2021 to 2025
$2.8M
A High Performance Research Image Repository (RIR) for the Washington University Center of High Performance Computing (CHPC)S10OD030477 · OD · WASHINGTON UNIVERSITY · PI MARCUS, DANIEL SCOTT · 2021 to 2021
$1.9M
Acquisition of a next-generation computing clusterS10OD025200 · OD · WASHINGTON UNIVERSITY · PI TOBIAS, MALCOLM · 2019 to 2019
$597k
NIA NIH HHS R01 AG067103NIH HHS S10 OD025200NIH HHS S10 OD030477
6 · The paper itself

Abstract

Multimodal medical image analysis exploits complementary information from multiple data sources (

Indexed as

Missing ModalityMultimodal Brain MRIMultimodal Normative ModelingMultimodal Representation Learning

Identifiers

PMID42006773
PMCPMC13086099

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.