Evidence map›Paper›PMID 28943730›Full record

ArticleInformation processing in medical imaging : proceedings of the ... conference2017

Conditional local distance correlation for manifold-valued data.

Wenliang Pan, Xueqin Wang, Canhong Wen, Martin Styner, Hongtu Zhu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Information processing in medical imaging : proceedings of the ... conference, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Wenliang PanDepartment of Statistical Science, Sun Yat-sen University, Guangzhou, China.
Xueqin WangDepartment of Statistical Science, Sun Yat-sen University, Guangzhou, China.
Canhong WenDepartment of Statistical Science, Sun Yat-sen University, Guangzhou, China.
Martin StynerUniversity of North Carolina at Chapel Hill, USA.
Hongtu ZhuUniversity of Texas MD Anderson Cancer Center, USA.

Funding

Statistical Analysis of Biomedical Imaging Data in Curved SpaceR01MH086633 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI IBRAHIM, JOSEPH G · 2010 to 2018
$2.9M
Longitudinal Analysis of Biomedical Imaging DataR21AG033387 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZHU, HONGTU · 2009 to 2010
$334k
NIA NIH HHS R21 AG033387NIMH NIH HHS R01 MH086633
6 · The paper itself

Abstract

Manifold-valued data arises frequently in medical imaging, surface modeling, computational biology, and computer vision, among many others. The aim of this paper is to introduce a conditional local distance correlation measure for characterizing a nonlinear association between manifold-valued data, denoted by

Indexed as

Image Interpretation, Computer-AssistedPattern Recognition, AutomatedAlgorithmsImage EnhancementReproducibility of ResultsSensitivity and SpecificityLocal distance correlationManifold-valuedShape statistics

Identifiers

PMID28943730
PMCPMC5606211

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.