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Automated detection of mandibular landmarks in CT data using a dual-input approach in a two-stage design.

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Bibliographic Details
Title: Automated detection of mandibular landmarks in CT data using a dual-input approach in a two-stage design.
Authors: Deitermann M; Inzipio GmbH, Krantzstraße 7, Aachen, 52070, Germany; University of Stuttgart, Keplerstraße 7, Stuttgart, 70174, Germany., Pankert T; Inzipio GmbH, Krantzstraße 7, Aachen, 52070, Germany; Department of Oral and Maxillofacial Surgery, University Hospital RWTH, Pauwelstraße 30, Aachen, 52074, Germany., Jaganathan S; Inzipio GmbH, Krantzstraße 7, Aachen, 52070, Germany., Röhrle O; Institute for Modelling and Simulation of Biomechanical Systems, University of Stuttgart, Pfaffenwaldring 5a, Stuttgart, 70569, Germany., Hölzle F; Department of Oral and Maxillofacial Surgery, University Hospital RWTH, Pauwelstraße 30, Aachen, 52074, Germany., Modabber A; Department of Oral and Maxillofacial Surgery, University Hospital RWTH, Pauwelstraße 30, Aachen, 52074, Germany., Raith S; Inzipio GmbH, Krantzstraße 7, Aachen, 52070, Germany; Department of Oral and Maxillofacial Surgery, University Hospital RWTH, Pauwelstraße 30, Aachen, 52074, Germany. Electronic address: sraith@ukaachen.de.
Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2026 Jan; Vol. 273, pp. 109113. Date of Electronic Publication: 2025 Oct 11.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7565 (Electronic) Linking ISSN: 01692607 NLM ISO Abbreviation: Comput Methods Programs Biomed Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-7565
DOI:10.1016/j.cmpb.2025.109113