Automatic part segmentation for full newborn skeleton-articulated geometries using geometric deep learning and 3D point cloud Article Swipe

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Morgane Ferrandini , Duc Phong Nguyen , Duyen Hien Le Nguyen , Vi Do Tran , Hoai Danh Vo , Tan Nhu Nguyen , Tien Tuan Dao ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1504/ijbet.2024.141577

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Point Cloud

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Point cloud Artificial intelligence Computer science Segmentation Computer vision Skeleton (computer programming) Point (geometry) Deep learning Geometry Mathematics Programming language

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Type: article
Language: en
Landing Page: https://doi.org/10.1504/ijbet.2024.141577
OA Status: green
Cited By: 2
Related Works: 10
OpenAlex ID: https://openalex.org/W4402816058

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OpenAlex ID: https://openalex.org/W4402816058

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DOI: https://doi.org/10.1504/ijbet.2024.141577

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Title: Automatic part segmentation for full newborn skeleton-articulated geometries using geometric deep learning and 3D point cloud

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Type: article

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Language: en

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Publication year: 2024

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Publication date: 2024-01-01

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Authors: Morgane Ferrandini, Duc Phong Nguyen, Duyen Hien Le Nguyen, Vi Do Tran, Hoai Danh Vo, Tan Nhu Nguyen, Tien Tuan Dao

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Landing page: https://doi.org/10.1504/ijbet.2024.141577

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Open access: Yes

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OA status: green

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OA URL: https://hal.science/hal-05241517

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Concepts: Point cloud, Artificial intelligence, Computer science, Segmentation, Computer vision, Skeleton (computer programming), Point (geometry), Deep learning, Geometry, Mathematics, Programming language

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Cited by: 2

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Citations by year (recent): 2025: 2

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Related works (count): 10

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