Evidence map›Paper›PMID 37476079›Full record

ArticleInformation processing in medical imaging : proceedings of the ... conference2023

Learning Probabilistic Piecewise Rigid Atlases of Model Organisms via Generative Deep Networks.

Amin Nejatbakhsh, Neel Dey, Vivek Venkatachalam, Eviatar Yemini, Liam Paninski, Erdem Varol

Open access · greenAbstract read
In one paragraph

Article in Information processing in medical imaging : proceedings of the ... conference, 2023. 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, top 87% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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 at 4 institutions in 1 country.

Amin NejatbakhshDepartments of Neuroscience and Statistics, Columbia University, New York, USA.
Neel DeyComputer Science and Artificial Intelligence Lab, MIT, Massachusetts, USA.
Vivek VenkatachalamDepartment of Physics, Northeastern University, Boston, USA.
Eviatar YeminiDepartment of Neurobiology, University of Massachusetts Chan Medical School, Worcester, USA.
Liam PaninskiDepartments of Neuroscience and Statistics, Columbia University, New York, USA.
Erdem VarolDepartment of Computer Science and Engineering, New York University, New York, USA.
Columbia University · USNew York University · USNortheastern University · USUniversity of Massachusetts Chan Medical School · US

Funding

Training and DisseminationP41EB015902 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI WELLS, WILLIAM M. · 2012 to 2022
$20.9M
Fetal MRI: robust self-driving brain acquisition and body movement quantificationR01EB032708 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI ADALSTEINSSON, ELFAR, GRANT, PATRICIA ELLEN · 2022 to 2025
$2.8M
Development and Divergence of Whole-Brain ActivityR01NS126334 · NINDS · NORTHEASTERN UNIVERSITY · PI Vivek Venkatachalam · 2022 to 2026
$2.1M
Transcriptional basis of stereotyped neural architecturesR00MH128772 · NIMH · NEW YORK UNIVERSITY · PI Erdem Varol · 2024 to 2026
$734k
Transcriptional basis of stereotyped neural architecturesK99MH128772 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI VAROL, ERDEM · 2022 to 2023
$251k
NIBIB NIH HHS P41 EB015902NIBIB NIH HHS R01 EB032708NIMH NIH HHS K99 MH128772NIMH NIH HHS R00 MH128772NINDS NIH HHS R01 NS126334
6 · The paper itself

Abstract

Atlases are crucial to imaging statistics as they enable the standardization of inter-subject and inter-population analyses. While existing atlas estimation methods based on fluid/elastic/diffusion registration yield high-quality results for the human brain, these deformation models do not extend to a variety of other challenging areas of neuroscience such as the anatomy of

Identifiers

PMID37476079
PMCPMC10358289
OpenAlexW4379660331

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.