Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Elias D. Berdouses"'
Autor:
Sotiria Davidopoulou, Konstantinos Arapostathis, Elias D. Berdouses, Katerina Kavvadia, Constantine Oulis
Publikováno v:
BMC Oral Health, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background Occlusal characteristics of the primary dentition are crucial in predicting and determining permanent tooth alignment and occlusion. The aim of our study was to determine the occlusal characteristics of the primary dentition of 5-
Externí odkaz:
https://doaj.org/article/f7e853bb0b104d07b50ccacf5919978c
Autor:
Maria Sifakaki, Katerina Kavvadia, Argy Polychronopoulou, Iliana Diamanti, Konstantinos Arapostathis, Christina Reppa, Olga Panagopoulou, Elias D. Berdouses, Constantine J. Oulis
Publikováno v:
European Archives of Paediatric Dentistry. 22:619-631
To study the caries status of 5, 12 and 15-year-old Greek children, assess how disease parameters are related to socio-demographic indicators and identify relevant trends at the national level. A stratified cluster sample of 3702 children in total wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14fae52d0ce7352c1981bae7aa9437de
https://doi.org/10.1007/s40368-020-00599-7
https://doi.org/10.1007/s40368-020-00599-7
Autor:
Iliana Diamanti, Elias D. Berdouses, Katerina Kavvadia, Konstantinos N. Arapostathis, Argy Polychronopoulou, Constantine J. Oulis
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 19; Issue 1; Pages: 14
International Journal of Environmental Research and Public Health, Vol 19, Iss 14, p 14 (2022)
International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health, Vol 19, Iss 14, p 14 (2022)
International Journal of Environmental Research and Public Health
Evidence regarding disparities in oral health among native and immigrant child and adolescent populations in Europe is scarce. The present study aimed to determine the caries status of 5-, 12-, and 15-year-olds with an immigrant background in Greece
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72ae999b10218d2c674169386769eadf
Publikováno v:
EMBC
Based on an image dataset of 88 in-vivo dental images taken with an intra-oral camera, we show that a Deep Learning model (Mask R-CNN) can detect and classify dental caries on occlusal surfaces across the whole 7-class ICDAS (International Caries Det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01b0d76a3577eaca9f8a542b45dce10b
https://doi.org/10.1109/embc.2019.8856553
https://doi.org/10.1109/embc.2019.8856553
Publikováno v:
ICIP
Segmentation using superpixels of simple photographic image for classification of occlusal caries according to the lesion severity, makes significant changes to the way experts annotate the image, but also in the way of learning and evaluating of an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f4028a52067800c7859c8b96743413a
https://doi.org/10.1109/icip.2018.8451373
https://doi.org/10.1109/icip.2018.8451373
Autor:
Constantine J. Oulis, Dimitrios I. Fotiadis, Evanthia E. Tripoliti, Elias D. Berdouses, M. Michalaki
Publikováno v:
European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry. 20(3)
To compare the diagnostic performance of the automated caries detection system (ACDS) for the detection and diagnosis of occlusal caries with the histological appearance of the lesions. Eighteen posterior permanent teeth were used, out of which 40 se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e850553ceaafa3cfb4bc2c6577dbfed
https://pubmed.ncbi.nlm.nih.gov/30488292
https://pubmed.ncbi.nlm.nih.gov/30488292
Autor:
Elias D. Berdouses, Evanthia E. Tripoliti, George K. Matsopoulos, Dimitrios I. Fotiadis, Georgia Koutsouri, Constantine J. Oulis
Publikováno v:
Computers in Biology and Medicine. 62:119-135
The aim of this work is to present a computer-aided automated methodology for the assessment of carious lesions, according to the International Caries Detection and Assessment System (ICDAS II), which are located on the occlusal surfaces of posterior
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2496df038fa0e5ce890e9f7081e9bfb5
https://doi.org/10.1016/j.compbiomed.2015.04.016
https://doi.org/10.1016/j.compbiomed.2015.04.016
Autor:
Elias D. Berdouses, Dimitrios I. Fotiadis, Evanthia E. Tripoliti, Dimitrios Koutsouris, Georgia Koutsouri, Constantine J. Oulis, Christos G. Bampis, Dimitra Iliopoulou
Publikováno v:
EMBC
The aim of this work is to present a modification of the Random Walker algorithm for the segmentation of occlusal caries from photographic color images. The modification improves the detection and time execution performance of the classical Random Wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::196b14f3f79aedd4189dffa95eb93e6a
https://pubmed.ncbi.nlm.nih.gov/25570357
https://pubmed.ncbi.nlm.nih.gov/25570357
Autor:
Evanthia E. Tripoliti, Dimitrios I. Fotiadis, Georgia Koutsouri, Constantine J. Oulis, Elias D. Berdouses
Publikováno v:
BIBE
The aim of this work is to present an automated non supervised method for the detection of occlusal caries based on photographic color images. The proposed method consists of three steps: (a) detection of decalcification areas, (b) detection of occlu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfec0bdcefcdbffbe750b0c1fb483574
https://doi.org/10.1109/bibe.2013.6701708
https://doi.org/10.1109/bibe.2013.6701708
Publikováno v:
Dental Traumatology. 12:60-65
Although there are several epidemiological studies on dental trauma internationally, there are not many studies that record, analyse and follow different kinds of dental trauma treated in a private office, and that evaluate how parameters such as typ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8760fd8a6a9633ae93c92e83b41307e2
https://doi.org/10.1111/j.1600-9657.1996.tb00098.x
https://doi.org/10.1111/j.1600-9657.1996.tb00098.x