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ADASSM: Adversarial Data Augmentation in Statistical Shape Models from Images

Lecture notes in computer science(2023)10.1007/978-3-031-46914-5_8Source: DataRank Database

ADASSM: Adversarial Data Augmentation in Statistical Shape Models from Images is a research paper published in Lecture notes in computer science (2023). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Open Access5 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 1.04)OA: greenTopics (27)IDs (PubMed, OpenAlex)

FAIR Checklist

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 (4)

Tushar Kataria ORCID,Krithika Iyer ORCID,Shireen Elhabian ORCID,Mokshagna Sai Teja Karanam ORCID

Live enrichment

PubMed:39022299 OpenAlex:https://openalex.org/W4388025471

National Institutes of Health

Grant: 3R01AR076120-02S1

ShapeWorks in the Cloud

National Institutes of Health

Grant: 2R01EB016701-05A1

Computational and Statistical Framework to Model Tissue Shape and Mechanics

National Institutes of Health

Grant: 5U24EB029011-05

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

NIAMS NIH HHS

Grant: R01 AR076120

NIBIB NIH HHS

Grant: R01 EB016701

NIBIB NIH HHS

Grant: U24 EB029011

FWCI

1.04

Citation Percentile

0.8%

Citation Trend

2024

2025

2026

greenLicense: Springer Nature TDM

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11251192/pdf/nihms-1985238.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/978-3-031-46914-5_8

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11251192

book serieshttps://doi.org/10.1007/978-3-031-46914-5_8

Fields of Study

AI in cancer detectionRadiomics and Machine Learning in Medical ImagingMedical Imaging and Analysis0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

Computer scienceArtificial intelligenceOverfittingDeep learningFocus (optics)PreprocessorComputer visionStatistical modelPattern recognition (psychology)SegmentationPopulationMachine learningArtificial neural networkFOS: Computer and information sciencesComputer Vision and Pattern Recognition (cs.CV)Image and Video Processing (eess.IV)Computer Science - Computer Vision and Pattern RecognitionFOS: Electrical engineering, electronic engineering, information engineeringElectrical Engineering and Systems Science - Image and Video ProcessingAdversarial TrainingData AugmentationStatistical Shape Model