Evidence map›Paper›PMID 41069640›Full record

ArticleConference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops2025

Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation.

Jia Wei, Xiaoqi Zhao, Jonghye Woo, Jinsong Ouyang, Georges El Fakhri, Qingyu Chen, Xiaofeng Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Jia WeiDept. of Radiology and Biomedical Imaging, Yale University, New Haven, USA.
Xiaoqi ZhaoDept. of Radiology and Biomedical Imaging, Yale University, New Haven, USA.
Jonghye WooDept. of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, USA.
Jinsong OuyangDept. of Radiology and Biomedical Imaging, Yale University, New Haven, USA.
Georges El FakhriDept. of Radiology and Biomedical Imaging, Yale University, New Haven, USA.
Qingyu ChenDept. of Biomedical Informatics and Data Science, Yale University, New Haven, USA.
Xiaofeng LiuDept. of Radiology and Biomedical Imaging, Yale University, New Haven, USA.

Funding

Unified Joint Statistical Reconstruction of PET & MRP41EB022544 · NIBIB · YALE UNIVERSITY · PI Georges El Fakhri · 2017 to 2026
$14.8M
Deep learning-based target volume delineation capturing observer variability in head and neck cancerR01CA290745 · NCI · YALE UNIVERSITY · PI Georges El Fakhri · 2024 to 2026
$1.7M
Deep Learning for Individualized Treatment Effect Inference with Multimodal DepictionR21EB034911 · NIBIB · YALE UNIVERSITY · PI Xiaofeng Liu · 2024 to 2026
$653k
NCI NIH HHS R01 CA290745NIBIB NIH HHS P41 EB022544NIBIB NIH HHS R21 EB034911
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID41069640
PMCPMC12506896

What OpenQuestion holds

Textmetadata
LicenceTDM
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.