Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Thomas Beznik"'
Publikováno v:
Scopus-Elsevier
Neurocomputing, Vol. 470, no.1, p. 427-431 (2022)
Neurocomputing, Vol. 470, no.1, p. 427-431 (2022)
During the development of vaccines, bacterial colony forming units (CFUs) are counted in order to quantify the yield in the fermentation process. This manual task is time-consuming and error-prone. In this work we test multiple segmentation algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::074d82432878d37af42fd4b7c79034d3
https://doi.org/10.1016/j.neucom.2021.04.130
https://doi.org/10.1016/j.neucom.2021.04.130
Autor:
Adriaan Van Gerven, André Ferreira Leite, Hugo Gaêta-Araujo, Holger Willems, Reinhilde Jacobs, Myrthel Vranckx, Thomas Beznik, Pierre Lahoud
Publikováno v:
Clinical Oral Investigations. 25:2257-2267
To evaluate the performance of a new artificial intelligence (AI)-driven tool for tooth detection and segmentation on panoramic radiographs. In total, 153 radiographs were collected. A dentomaxillofacial radiologist labeled and segmented each tooth,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68682e1355bf3bd1a1747a1160599341
https://doi.org/10.1007/s00784-020-03544-6
https://doi.org/10.1007/s00784-020-03544-6
Autor:
Maurício do Nascimento Gerhardt, Rocharles Cavalcante Fontenele, André Ferreira Leite, Pierre Lahoud, Adriaan Van Gerven, Holger Willems, Andreas Smolders, Thomas Beznik, Reinhilde Jacobs
Publikováno v:
Journal of dentistry. 122
To assess the accuracy of a novel Artificial Intelligence (AI)-driven tool for automated detection of teeth and small edentulous regions on Cone-Beam Computed Tomography (CBCT) images.After AI training and testing with 175 CBCT scans (130 for trainin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85ab3019c077b299a5a05b6eea732c99
https://pubmed.ncbi.nlm.nih.gov/35461974
https://pubmed.ncbi.nlm.nih.gov/35461974
Autor:
Holger Willems, Mostafa EzEldeen, Thomas Beznik, André Ferreira Leite, Adriaan Van Gerven, Reinhilde Jacobs, Pierre Lahoud
INTRODUCTION: Tooth segmentation on cone-beam computed tomographic (CBCT) imaging is a labor-intensive task considering the limited contrast resolution and potential disturbance by various artifacts. Fully automated tooth segmentation cannot be achie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc436897532816203c9a75af9d10d05a
https://lirias.kuleuven.be/handle/123456789/673051
https://lirias.kuleuven.be/handle/123456789/673051
Autor:
André Ferreira, Leite, Adriaan Van, Gerven, Holger, Willems, Thomas, Beznik, Pierre, Lahoud, Hugo, Gaêta-Araujo, Myrthel, Vranckx, Reinhilde, Jacobs
Publikováno v:
Clinical oral investigations. 25(4)
To evaluate the performance of a new artificial intelligence (AI)-driven tool for tooth detection and segmentation on panoramic radiographs.In total, 153 radiographs were collected. A dentomaxillofacial radiologist labeled and segmented each tooth, s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::3a14f9aa2412bb881aae2eef374ad302
https://pubmed.ncbi.nlm.nih.gov/32844259
https://pubmed.ncbi.nlm.nih.gov/32844259
Autor:
Eman Shaheen, Holger Willems, Jeroen Meewis, Adriaan Van Gerven, Pieter-Jan Verhelst, Andreas Smolders, Constantinus Politis, Arne Vandemeulebroucke, Reinhilde Jacobs, Thomas Beznik
Publikováno v:
Journal of Dentistry. 114:103786
OBJECTIVE: To develop and validate a layered deep learning algorithm which automatically creates three-dimensional (3D) surface models of the human mandible out of cone-beam computed tomography (CBCT) imaging. MATERIALS & METHODS: Two convolutional n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbe85f283c162e842ac2769fe04dfc29
https://doi.org/10.1016/j.jdent.2021.103786
https://doi.org/10.1016/j.jdent.2021.103786