Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Balder Croquet"'
Publikováno v:
Royal Society Open Science, Vol 10, Iss 9 (2023)
In this study, we tested the hypothesis that machine learning methods can accurately classify extant primates based on triquetrum shape data. We then used this classification tool to observe the affinities between extant primates and fossil hominoids
Externí odkaz:
https://doaj.org/article/93cdfb2d85eb4a63a8850976b45a8d25
Autor:
Jules Mertens, Yi Fan, Soha Sadat Mahdi, Hanne Hoskens, Harold Matthews, Balder Croquet, Nele Nauwelaers, Peter Claes, Ahmed M. El Sergani, Mary L. Marazita, Seth M. Weinberg, Tianmin Xu, Dirk Vandermeulen, Michael M. Bronstein
Publikováno v:
Orthod Craniofac Res
OBJECTIVES: To develop and evaluate a geometric deep-learning network to automatically place seven palatal landmarks on digitized maxillary dental casts. SETTINGS AND SAMPLE POPULATION: The sample comprised individuals with permanent dentition of var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61410f188991161ae47e8c039ecb7f6e
https://doi.org/10.1111/ocr.12513
https://doi.org/10.1111/ocr.12513
Autor:
Yi Fan, Mary L. Marazita, Ahmed M. El Sergani, Shunwang Gong, Peter Claes, Harold Matthews, Soha Sadat Mahdi, Hanne Hoskens, Nele Nauwelaers, Michael M. Bronstein, Tianmin Xu, Seth M. Weinberg, Balder Croquet
Publikováno v:
Orthod Craniofac Res
OBJECTIVES: Palatal shape contains a lot of information that is of clinical interest. Moreover, palatal shape analysis can be used to guide or evaluate orthodontic treatments. A statistical shape model (SSM) is a tool that, by means of dimensionality
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d453dc9f0e72283e57ab078aefc9f8dc
https://lirias.kuleuven.be/handle/123456789/679256
https://lirias.kuleuven.be/handle/123456789/679256
Autor:
Seth M. Weinberg, Balder Croquet, Daan Christiaens, Michael M. Bronstein, Dirk Vandermeulen, Peter Claes
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030872014
MICCAI (4)
MICCAI (4)
Registration is an essential tool in image analysis. Deep learning based alternatives have recently become popular, achieving competitive performance at a faster speed. However, many contemporary techniques are limited to volumetric representations,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f3d5e6a16faf8992b615adeecad9441