Evidence map›Paper›PMID 41532099›Full record

ArticleBiomedical optics express2026

Unsupervised quality assessment with generative adversarial networks for 3D OCTA microvascular imaging.

Edmund Sumpena, Andrew Cornelio, Ana Collazo, Shu Jie Ting, Tim Kowalczyk, Xuejuan Jiang, Alexa Beiser, Sudha Seshadri, Amir H Kashani, Craig K Jones

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 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

10 authors.

Edmund SumpenaDepartment of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA.
Andrew CornelioWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.ORCID https://orcid.org/0009-0002-4597-2682
Ana CollazoWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
Shu Jie TingThe Framingham Heart Study, Framingham, MA, USA.
Tim KowalczykThe Framingham Heart Study, Framingham, MA, USA.
Xuejuan JiangRoski Eye Institute, University of Southern California, Los Angeles, CA, USA.
Alexa BeiserThe Framingham Heart Study, Framingham, MA, USA.
Sudha SeshadriThe Framingham Heart Study, Framingham, MA, USA.
Amir H KashaniWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.ORCID https://orcid.org/0000-0001-9767-7920
Craig K JonesDepartment of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA.ORCID https://orcid.org/0000-0002-0629-3006

Funding

Imaging Cerebral Small Vessels in Vascular Cognitive Impairment and Dementia (VCID)RF1AG084072 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Xuejuan Jiang, Yonggang Shi · 2023 to 2023
$2.5M
NIA NIH HHS RF1 AG084072
6 · The paper itself

Abstract

Eye movements, optical opacities, and other factors can introduce artifacts during the acquisition of optical coherence tomography angiography volumes, resulting in suboptimal imaging quality. We aim to develop an automated deep learning model to separate excellent-quality from suboptimal-quality volumes in a quantitative and objective manner. Existing works use supervised classifiers trained on 2D

Identifiers

PMID41532099
PMCPMC12795412

What Socratic holds

Textmetadata
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 Socratic graph.