Evidence map›Paper›PMID 41693959›Full record

ArticleReconstruction and imaging motion estimation, and graphs in biomedical image analysis : first international workshop, RIME 2025 and 7th international workshop, GRAIL 2025, Daejeon, South Korea, September 27, 2025 : proceedings. RIME (Wo...2026

Improving Late-Life Depression Analysis with Collaborative Domain Adaptation: Learning from Heterogeneous Structural MRI.

Yuzhen Gao, Mengqi Wu, Li Wang, Lihong Wang, David C Stephens, Guy G Potter, Mingxia Liu

Abstract read
In one paragraph

Article in Reconstruction and imaging motion estimation, and graphs in biomedical image analysis : first international workshop, RIME 2025 and 7th international workshop, GRAIL 2025, Daejeon, South Korea, September 27, 2025 : proceedings. RIME (Wo..., 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

7 authors.

Yuzhen GaoDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.
Mengqi WuDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.
Li WangDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.
Lihong WangDepartment of Psychiatry, University of Connecticut, Farmington, CT 06030, USA.
David C StephensDepartment of Psychiatry, University of Connecticut, Farmington, CT 06030, USA.
Guy G PotterDepartment of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC 27710, USA.
Mingxia LiuDepartment of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.

Funding

Mapping the Causal Genetic-Imaging-Clinical Pathway for Alzheimer's DiseaseRF1AG082938 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Bingxin Zhao, Hongtu Zhu · 2023 to 2026
$3.6M
Multi-Site Neuroimage Harmonization for Personalized Brain Disorder AnalysisRF1AG073297 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LIU, MINGXIA · 2022 to 2022
$1.4M
Multi-Site Neuroimage Harmonization for Personalized Brain Disorder AnalysisR01AG073297 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Mingxia Liu · 2025 to 2026
$922k
NIA NIH HHS R01 AG073297NIA NIH HHS RF1 AG073297NIA NIH HHS RF1 AG082938
6 · The paper itself

Abstract

Accurate identification of late-life depression (LLD) based on brain MRI is crucial for monitoring its clinical progression over time. Existing learning-based LLD studies often suffer from limited (

Indexed as

Collaborative domain adaptationHeterogeneous dataLate-life depressionStructural MRI

Identifiers

PMID41693959
PMCPMC12895253

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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.