Evidence map›Paper›PMID 32118089›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2020

Minimally interactive placenta segmentation from three-dimensional ultrasound images.

Ipek Oguz, Natalie Yushkevich, Alison Pouch, Baris U Oguz, Jiancong Wang, Shobhana Parameshwaran, James Gee, Paul A Yushkevich, Nadav Schwartz

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Observational
  2. Review
  3. Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound images.Simplifying medical ultrasound : 5th international workshop, ASMUS 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, proceedings. ASMUS (Workshop) (5th : 2024 : Marrakech, Morocco) · 2025
    Article
  4. Review
  5. Article
  6. Fully Automated Placental Volume Quantification From 3D Ultrasound for Prediction of Small-for-Gestational-Age Infants.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2022
    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

9 authors.

Ipek OguzVanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, Tennessee, United States.
Natalie YushkevichUniversity of Pennsylvania, Penn Image Computing and Science Laboratory, Department of Radiology, Philadelphia, Pennsylvania, United States.
Alison PouchUniversity of Pennsylvania, Penn Image Computing and Science Laboratory, Department of Radiology, Philadelphia, Pennsylvania, United States.ORCID https://orcid.org/0000-0001-8854-5301
Baris U OguzUniversity of Pennsylvania, Penn Image Computing and Science Laboratory, Department of Radiology, Philadelphia, Pennsylvania, United States.
Jiancong WangUniversity of Pennsylvania, Penn Image Computing and Science Laboratory, Department of Radiology, Philadelphia, Pennsylvania, United States.
Shobhana ParameshwaranUniversity of Pennsylvania, Department of Obstetrics and Gynecology, Maternal and Child Health Research Program, Philadelphia, Pennsylvania, United States.
James GeeUniversity of Pennsylvania, Penn Image Computing and Science Laboratory, Department of Radiology, Philadelphia, Pennsylvania, United States.
Paul A YushkevichUniversity of Pennsylvania, Penn Image Computing and Science Laboratory, Department of Radiology, Philadelphia, Pennsylvania, United States.
Nadav SchwartzUniversity of Pennsylvania, Department of Obstetrics and Gynecology, Maternal and Child Health Research Program, Philadelphia, Pennsylvania, United States.

Funding

Developing a multi-modality, paradigm-shifting approach for in vivo assessment of the human placenta and the impact of maternal nutrition on its development and functionU01HD087180 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI LICHT, DANIEL JACQUES, SCHWARTZ, NADAV · 2015 to 2015
$4.3M
Adaptive Large-Scale Framework for Automatic Biomedical Image SegmentationR01EB017255 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI YUSHKEVICH, PAUL A. · 2014 to 2018
$3.0M
Early detection of Huntington's Disease: Longitudinal analysis of basal ganglia and cortical thicknessR01NS094456 · NINDS · VANDERBILT UNIVERSITY · PI OGUZ, IPEK · 2016 to 2019
$1.3M
NIBIB NIH HHS R01 EB017255NICHD NIH HHS U01 HD087180NINDS NIH HHS R01 NS094456
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

image processingimage segmentationmulti-atlas label fusionplacentaultrasound

Identifiers

PMID32118089
PMCPMC7035878

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.