Zobrazeno 1 - 3
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pro vyhledávání: '"Julian Schoep"'
Autor:
Shankeeth Vinayahalingam, Steven Kempers, Julian Schoep, Tzu-Ming Harry Hsu, David Anssari Moin, Bram van Ginneken, Tabea Flügge, Marcel Hanisch, Tong Xi
Publikováno v:
BMC Oral Health, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Objective Intra-oral scans and gypsum cast scans (OS) are widely used in orthodontics, prosthetics, implantology, and orthognathic surgery to plan patient-specific treatments, which require teeth segmentations with high accuracy and resoluti
Externí odkaz:
https://doaj.org/article/b291d9c7f31c4b77b611d12cecbe3b3f
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR): [Proceedings], 4443-4452
STARTPAGE=4443;ENDPAGE=4452;TITLE=2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Atigh, M G, Schoep, J, Acar, E, Van Noord, N & Mettes, P 2022, Hyperbolic Image Segmentation . in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) : [Proceedings] . Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2022-June, IEEE Computer Society, pp. 4443-4452, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, United States, 19/06/22 . https://doi.org/10.1109/CVPR52688.2022.00441
STARTPAGE=4443;ENDPAGE=4452;TITLE=2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Atigh, M G, Schoep, J, Acar, E, Van Noord, N & Mettes, P 2022, Hyperbolic Image Segmentation . in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) : [Proceedings] . Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2022-June, IEEE Computer Society, pp. 4443-4452, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, United States, 19/06/22 . https://doi.org/10.1109/CVPR52688.2022.00441
For image segmentation, the current standard is to perform pixel-level optimization and inference in Euclidean output embedding spaces through linear hyperplanes. In this work, we show that hyperbolic manifolds provide a valuable alternative for imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0610d0666bbac0699f8585e41be8ded9
https://dare.uva.nl/personal/pure/en/publications/hyperbolic-image-segmentation(7b0cffbb-49d5-4244-af28-1f4fde47ba34).html
https://dare.uva.nl/personal/pure/en/publications/hyperbolic-image-segmentation(7b0cffbb-49d5-4244-af28-1f4fde47ba34).html
Autor:
Ru-shan Goey, David Anssari Moin, Steven Kempers, Julian Schoep, Shankeeth Vinayahalingam, Teo Cherici, Marcel Hanisch
Publikováno v:
Journal of Dentistry, 115
Objective The aim of this study is to automatically detect, segment and label teeth, crowns, fillings, root canal fillings, implants and root remnants on panoramic radiographs (PR(s)). Material and methods As a reference, 2000 PR(s) were manually ann
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::457ae4fe74b14d9beeac48f33fab4adb
https://hdl.handle.net/2066/246528
https://hdl.handle.net/2066/246528