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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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In
Computer methods and programs in biomedicine 273, Seiten/Artikel-Nr.:109113
2026 & 2025
Received 11 June 2025, Revised 11 September 2025, Accepted 6 October 2025, Available online 11 October 2025
Online
DOI: 10.1016/j.cmpb.2025.109113
DOI: 10.18154/RWTH-2025-10014
URL: https://publications.rwth-aachen.de/record/1022427/files/1022427.pdf
Einrichtungen
Projekte
Thematische Einordnung (Klassifikation)
DDC: 610
OpenAccess: 
PDF
Dokumenttyp
Journal Article
Format
online, print
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105019045446
WOS Core Collection: WOS:001598955500002
PubMed: pmid:41086721
Interne Identnummern
RWTH-2025-10014
Datensatz-ID: 1022427
Beteiligte Länder
Germany
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; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; Nationallizenz
; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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The record appears in these collections: |
| Typ | Amount | VAT | Currency | Share | Status | Cost centre |
| Other | 100.00 | 7.00 | EUR | 3.74 % | (DEAL) | 021000-938010 |
| Hybrid-OA | 2575.00 | 180.25 | EUR | 96.26 % | (DEAL) | 021000-938010 |
| Sum | 2675.00 | 187.25 | EUR | |||
| Total | 2862.25 |
PDF