Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jule Schönewolf"'
Autor:
Marco Felsch, Ole Meyer, Anne Schlickenrieder, Paula Engels, Jule Schönewolf, Felicitas Zöllner, Roswitha Heinrich-Weltzien, Marc Hesenius, Reinhard Hickel, Volker Gruhn, Jan Kühnisch
Publikováno v:
npj Digital Medicine, Vol 6, Iss 1, Pp 1-8 (2023)
Abstract Caries and molar-incisor hypomineralization (MIH) are among the most prevalent diseases worldwide and need to be reliably diagnosed. The use of dental photographs and artificial intelligence (AI) methods may potentially contribute to realizi
Externí odkaz:
https://doaj.org/article/0d1018aac2344298a72f18b0d7ee1684
Autor:
Anne Schlickenrieder, Ole Meyer, Jule Schönewolf, Paula Engels, Reinhard Hickel, Volker Gruhn, Marc Hesenius, Jan Kühnisch
Publikováno v:
Diagnostics, Vol 11, Iss 9, p 1608 (2021)
The aim of the present study was to investigate the diagnostic performance of a trained convolutional neural network (CNN) for detecting and categorizing fissure sealants from intraoral photographs using the expert standard as reference. An image set
Externí odkaz:
https://doaj.org/article/ac197d4200f54e9ba3f35d675c45f8bd
Autor:
Paula Engels, Ole Meyer, Jule Schönewolf, Anne Schlickenrieder, Reinhard Hickel, Marc Hesenius, Volker Gruhn, Jan Kühnisch
Intraoral photographs might be considered the machine-readable equivalent of a clinical-based visual examination and can potentially be used to detect and categorize dental restorations. The first objective of this study was to develop a deep learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e92e3d8038bcf2e5bb7643a7d63124f8
https://www.ncbi.nlm.nih.gov/pubmed/35395346
https://www.ncbi.nlm.nih.gov/pubmed/35395346
Autor:
Jule Schönewolf, Ole Meyer, Paula Engels, Anne Schlickenrieder, Reinhard Hickel, Volker Gruhn, Marc Hesenius, Jan Kühnisch
Objective The aim of this study was to develop and validate a deep learning–based convolutional neural network (CNN) for the automated detection and categorization of teeth affected by molar-incisor-hypomineralization (MIH) on intraoral photographs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c3b9664b6aef4874d6372866697930d
https://www.ncbi.nlm.nih.gov/pubmed/35608684
https://www.ncbi.nlm.nih.gov/pubmed/35608684
Autor:
Marc Hesenius, Jan Kühnisch, Jule Schönewolf, Anne Schlickenrieder, Ole Meyer, Reinhard Hickel, Volker Gruhn, Paula Engels
Publikováno v:
Diagnostics, Vol 11, Iss 1608, p 1608 (2021)
Diagnostics
Diagnostics
The aim of the present study was to investigate the diagnostic performance of a trained convolutional neural network (CNN) for detecting and categorizing fissure sealants from intraoral photographs using the expert standard as reference. An image set
Autor:
Felsch, Marco, Meyer, Ole, Schlickenrieder, Anne, Engels, Paula, Schönewolf, Jule, Zöllner, Felicitas, Heinrich-Weltzien, Roswitha, Hesenius, Marc, Hickel, Reinhard, Gruhn, Volker, Kühnisch, Jan
Publikováno v:
NPJ Digital Medicine; 10/25/2023, Vol. 6 Issue 1, p1-8, 8p
Autor:
Schönewolf, Jule, Meyer, Ole, Engels, Paula, Schlickenrieder, Anne, Hickel, Reinhard, Gruhn, Volker, Hesenius, Marc, Kühnisch, Jan
Publikováno v:
Clinical Oral Investigations; Sep2022, Vol. 26 Issue 9, p5923-5930, 8p, 2 Color Photographs, 1 Diagram, 2 Charts
Autor:
Schlickenrieder, Anne1 (AUTHOR) anne.schlickenrieder@t-online.de, Meyer, Ole2 (AUTHOR) ole.meyer@uni-due.de, Schönewolf, Jule1 (AUTHOR) juleschoenewolf@web.de, Engels, Paula1 (AUTHOR) paula.engels@icloud.com, Hickel, Reinhard1 (AUTHOR) hickel@dent.med.uni-muenchen.de, Gruhn, Volker2 (AUTHOR) gruhn@adesso.de, Hesenius, Marc2 (AUTHOR) marc.hesenius@uni-due.de, Kühnisch, Jan1 (AUTHOR) jkuehn@dent.med.uni-muenchen.de
Publikováno v:
Diagnostics (2075-4418). Sep2021, Vol. 11 Issue 9, p1608. 1p.