Evidence map›Paper›PMID 37692198›Full record

ArticleFrontiers in computer science2022

Skeletons, Object Shape, Statistics.

Stephen M Pizer, J S Marron, James N Damon, Jared Vicory, Akash Krishna, Zhiyuan Liu, Mohsen Taheri

Abstract read
In one paragraph

Article in Frontiers in computer science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Stephen M PizerDepartment of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
J S MarronDepartment of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
James N DamonDepartment of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Jared VicoryKitware Inc., Carrboro, NC, United States.
Akash KrishnaDepartment of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Zhiyuan LiuDepartment of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Mohsen TaheriDepartment of Mathematics and Physics, University of Stavanger, Stavanger, Norway.

Funding

Shape Analysis Toolbox: From medical images to quantitative insights of anatomyR01EB021391 · NIBIB · KITWARE, INC. · PI PANIAGUA, BEATRIZ · 2016 to 2024
$3.5M
NIBIB NIH HHS R01 EB021391
6 · The paper itself

Abstract

Objects and object complexes in 3D, as well as those in 2D, have many possible representations. Among them skeletal representations have special advantages and some limitations. For the special form of skeletal representation called "s-reps," these advantages include strong suitability for representing slabular object populations and statistical applications on these populations. Accomplishing these statistical applications is best if one recognizes that s-reps live on a curved shape space. Here we will lay out the definition of s-reps, their advantages and limitations, their mathematical properties, methods for fitting s-reps to single- and multi-object boundaries, methods for measuring the statistics of these object and multi-object representations, and examples of such applications involving statistics. While the basic theory, ideas, and programs for the methods are described in this paper and while many applications with evaluations have been produced, there remain many interesting open opportunities for research on comparisons to other shape representations, new areas of application and further methodological developments, many of which are explicitly discussed here.

Indexed as

shapeshape statisticsskeletal modelskeletons-reps

Identifiers

PMID37692198
PMCPMC10488910

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.