Evidence map›Paper›PMID 39157057›Full record

ArticleIEEE open journal of engineering in medicine and biology2024

Fetal-BET: Brain Extraction Tool for Fetal MRI.

Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour

Abstract read
In one paragraph

Article in IEEE open journal of engineering in medicine and biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Advances in Fetal Brain Imaging.Magnetic resonance imaging clinics of North America · 2024
    Review
  5. Diffusion MRI with Machine Learning.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article
  6. Article
  7. 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

4 authors.

Razieh FaghihpirayeshElectrical and Computer Engineering DepartmentNortheastern University Boston MA 02115 USA.ORCID https://orcid.org/0000-0002-2680-5021
Davood KarimiRadiology DepartmentBoston Children's Hospital, and Harvard Medical School Boston MA 02115 USA.ORCID https://orcid.org/0000-0002-5155-2644
Deniz ErdogmusElectrical and Computer Engineering DepartmentNortheastern University Boston MA 02115 USA.ORCID https://orcid.org/0000-0002-1114-3539
Ali GholipourRadiology DepartmentBoston Children's Hospital, and Harvard Medical School Boston MA 02115 USA.ORCID https://orcid.org/0000-0001-7699-4564

Funding

Next-generation in-vivo fetal neuroimagingR01EB031849 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI GHOLIPOUR-BABOLI, ALI · 2021 to 2024
$2.2M
Imaging early development of human neural circuitsR01HD109395 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI ALI GHOLIPOUR-BABOLI · 2022 to 2026
$2.1M
Enhanced Imaging of the Fetal Brain MicrostructureR01EB032366 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI GHOLIPOUR-BABOLI, ALI · 2022 to 2025
$2.0M
Acquisition of a Siemens 3T MRI for Research ImagingS10OD025111 · OD · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2018 to 2018
$2.0M
Enabling the Assessment of Fetal Brain Development and Degeneration with Machine LearningR01NS128281 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI Davood Karimi · 2023 to 2026
$1.8M
Advancing Microstructural and Vascular Neuroimaging in Perinatal StrokeR01NS106030 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2019 to 2023
$1.7M
Motion-robust super-resolution diffusion weighted MRI of early brain developmentR01EB018988 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI GHOLIPOUR-BABOLI, ALI · 2014 to 2017
$1.6M
Accurate, reliable, and interpretable machine learning for assessment of neonatal and pediatric brain micro-structureR01HD110772 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI Davood Karimi · 2023 to 2026
$1.5M
NIBIB NIH HHS R01 EB018988NIBIB NIH HHS R01 EB031849NIBIB NIH HHS R01 EB032366NICHD NIH HHS R01 HD109395NICHD NIH HHS R01 HD110772NIH HHS S10 OD025111NINDS NIH HHS R01 NS106030NINDS NIH HHS R01 NS128281
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

brain extractionDeep learningfetal MRI

Identifiers

PMID39157057
PMCPMC11329220

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.