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Can Point Cloud Networks Learn Statistical Shape Models of Anatomies?

Lecture notes in computer science(2023)10.1007/978-3-031-43907-0_47Source: DataRank Database

Can Point Cloud Networks Learn Statistical Shape Models of Anatomies? is a research paper published in Lecture notes in computer science (2023). On theSindex it has a DataRank of 0. It has been cited 8 times.

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Open Access8 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (7 grants)Impact (FWCI 2.98)OA: greenTopics (30)IDs (PubMed, PMC, OpenAlex)

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Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Shireen Elhabian ORCID,Jadie Adams ORCID

Live enrichment

PubMed:39498296 PMC:PMC11534086 OpenAlex:https://openalex.org/W4387211200

NHLBI NIH HHS

Grant: R01 HL135568

NIAMS NIH HHS

Grant: R01 AR076120

NIBIB NIH HHS

Grant: U24 EB029011

NIBIB NIH HHS

Grant: R01 EB016701

National Institutes of Health

Grant: 2R01EB016701-05A1

Computational and Statistical Framework to Model Tissue Shape and Mechanics

National Institutes of Health

Grant: 3R01AR076120-02S1

ShapeWorks in the Cloud

National Institutes of Health

Grant: 5U24EB029011-05

ShapeWorksStudio: An Integrative, User-Friendly, and Scalable Suite for Shape Representation and Analysis

FWCI

2.98

Citation Percentile

0.9%

Citation Trend

2024

2025

2026

greenLicense: Springer Nature TDM

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11534086/pdf/nihms-2028754.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/978-3-031-43907-0_47

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11534086

book serieshttps://doi.org/10.1007/978-3-031-43907-0_47

Fields of Study

3D Shape Modeling and AnalysisAnatomy and Medical TechnologyMorphological variations and asymmetry0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Point cloudComputer scienceArtificial intelligenceInferencePolygon meshSegmentationDeep learningCloud computingReverse engineeringPoint (geometry)PopulationMachine learningData miningComputer visionGeometryMathematicsComputer graphics (images)MorphometricsStatistical Shape ModelingPoint Cloud Deep NetworksFOS: Computer and information sciencesComputer Science - Machine LearningComputer Vision and Pattern Recognition (cs.CV)Computer Science - Computer Vision and Pattern RecognitionMachine Learning (cs.LG)