Evidence map›Paper›PMID 35685943›Full record

ArticleFrontiers in neuroinformatics2022

vol2Brain: A New Online Pipeline for Whole Brain MRI Analysis.

José V Manjón, José E Romero, Roberto Vivo-Hernando, Gregorio Rubio, Fernando Aparici, Mariam de la Iglesia-Vaya, Pierrick Coupé

Abstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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  15. Brain displacement and nonlinear deformation following human spaceflight.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  16. Clinical, genetic, and advanced neuroimaging features in adult siblings with Q10 deficiency due to COQ4 mutation: Review of literature.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
  17. Article
  18. Importance of RMagnetic resonance in medicine · 2026
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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.

José V ManjónInstituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Valencia, Spain.
José E RomeroInstituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Valencia, Spain.
Roberto Vivo-HernandoInstituto de Automática e Informática Industrial, Universitat Politècnica de València, Valencia, Spain.
Gregorio RubioDepartamento de Matemática Aplicada, Universitat Politècnica de València, Valencia, Spain.
Fernando ApariciÁrea de Imagen Medica, Hospital Universitario y Politécnico La Fe, Valencia, Spain.
Mariam de la Iglesia-VayaUnidad Mixta de Imagen Biomédica FISABIO-CIPF, Fundación Para el Fomento de la Investigación Sanitario y Biomédica de la Comunidad Valenciana, Valencia, Spain.
Pierrick CoupéCentre National de la Recherche Scientifique, Univ. Bordeaux, Bordeaux INP, Laboratoire Bordelais de Recherche en Informatique, UMR5800, PICTURA, Talence, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Automatic and reliable quantitative tools for MR brain image analysis are a very valuable resource for both clinical and research environments. In the past few years, this field has experienced many advances with successful techniques based on label fusion and more recently deep learning. However, few of them have been specifically designed to provide a dense anatomical labeling at the multiscale level and to deal with brain anatomical alterations such as white matter lesions (WML). In this work, we present a fully automatic pipeline (vol2Brain) for whole brain segmentation and analysis, which densely labels (

Indexed as

analysisbraincloudMRIsegmentation

Identifiers

PMID35685943
PMCPMC9171328

What OpenQuestion holds

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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.