Evidence map›Paper›PMID 34159222›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2021

Segmentation of MRI head anatomy using deep volumetric networks and multiple spatial priors.

Lukas Hirsch, Yu Huang, Lucas C Parra

Open access · greenAbstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2021. 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
0.3field-weighted citation impact, top 51% 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

7 citing papers in PubMed, 3 citations in OpenAlex.

  1. 2 mA is NOT 2 mA: Electric field variability in high-definition tDCS and its implications for precision neuromodulation in aging.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Cross-site Validation of AI Segmentation and Harmonization in Breast MRI.Journal of imaging informatics in medicine · 2025
    Article
  6. Article
  7. Review
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

3 authors at 2 institutions in 1 country.

Lukas HirschCity College New York, Department of Biomedical Engineering, New York City, New York, United States.
Yu HuangMemorial Sloan Kettering Cancer Center, Department of Radiology, New York City, New York, United States.
Lucas C ParraCity College New York, Department of Biomedical Engineering, New York City, New York, United States.ORCID https://orcid.org/0000-0003-4667-816X
City College of New York · USMemorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Elisa de Stanchina · 1985 to 2026
$347.4M
Machine learning for risk-adjusted breast MRI screeningR01CA247910 · NCI · CITY COLLEGE OF NEW YORK · PI PARRA, LUCAS C, SUTTON, ELIZABETH J · 2021 to 2025
$3.3M
Targeted Transcranial Electrotherapy to accelerate Stroke Rehabilitation-Exploratory Trial on AphasiaR44NS092144 · NINDS · SOTERIX MEDICAL,INC. · PI DATTA, ABHISHEK, PARRA, LUCAS C · 2015 to 2018
$3.0M
A tool-box to control and enhance tDCS spatial precisionR01MH111896 · NIMH · CITY COLLEGE OF NEW YORK · PI BIKSON, MAROM · 2016 to 2019
$2.2M
Effects of direct-current stimulation on synaptic plasticityR01NS095123 · NINDS · CITY COLLEGE OF NEW YORK · PI PARRA, LUCAS C · 2016 to 2020
$1.7M
Measurement of Electric Field and Hemodynamic Response During Transcranial Direct Current Stimulation Using Magnetic Resonance ImagingR21NS115018 · NINDS · ADVANCED SCIENCE RESEARCH CENTER · PI SHEREEN, AHMED · 2020 to 2020
$432k
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA247910NIMH NIH HHS R01 MH111896NINDS NIH HHS R01 NS095123NINDS NIH HHS R21 NS115018NINDS NIH HHS R44 NS092144
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

abnormal anatomyautomated segmentationdeep convolutional neural networkhead segmentationlesion

Identifiers

PMID34159222
PMCPMC8209627
OpenAlexW3162552837

What OpenQuestion 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 OpenQuestion graph.