Evaluation of root canal morphology of mandibular premolars in Pakistani population using the new classification: a CBCT study
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Evaluation of root canal morphology of mandibular premolars in Pakistani population using the new classification: a CBCT study ; volume:24 ; number:1 ; day:20 ; month:11 ; year:2024 ; pages:1-12 ; date:12.2024
BMC oral health ; 24, Heft 1 (20.11.2024), 1-12, 12.2024
- Creator
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Arshad, Hamza
Zahra, Fatima
Naved, Nighat
Khalid, Taimur
Iqbal, Azhar
Karobari, Mohmed Isaqali
Maqbool, Irfan
Umer, Fahad
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12903-024-05149-x
- URN
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urn:nbn:de:101:1-2502062201107.479316933429
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:28 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Arshad, Hamza
- Zahra, Fatima
- Naved, Nighat
- Khalid, Taimur
- Iqbal, Azhar
- Karobari, Mohmed Isaqali
- Maqbool, Irfan
- Umer, Fahad
- SpringerLink (Online service)
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Comprehensive analysis of root canal morphology in maxillary premolars among the Pakistani subpopulation: a CBCT-based study
Prevalence of complex root canal morphology in the mandibular first and second premolars in Thai population: CBCT analysis
Distolingual root prevalence in mandibular first molar and complex root canal morphology in incisors: a CBCT analysis in Indian population
Comparison of deep learning segmentation and multigrader-annotated mandibular canals of multicenter CBCT scans
Prevalence of multiple roots and complex canal morphology in mandibular premolars among a selected Southern Egyptian sub-population: a CBCT-analysis
Influence of bone anatomical morphology of mandibular molars on dental implant based on CBCT
Correction: Prevalence of multiple roots and complex canal morphology in mandibular premolars among a selected Southern Egyptian sub-population: a CBCT-analysis
Evaluation of root canal morphology in permanent maxillary and mandibular anterior teeth in Saudi subpopulation using two classification systems: a CBCT study
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT dataset
Accurate mandibular canal segmentation of dental CBCT using a two-stage 3D-UNet based segmentation framework
Vestibular bone thickness of the mandible in relation to the mandibular canal—a retrospective CBCT-based study
Comprehensive analysis of root canal morphology in maxillary premolars among the Pakistani subpopulation: a CBCT-based study
Prevalence of complex root canal morphology in the mandibular first and second premolars in Thai population: CBCT analysis
Distolingual root prevalence in mandibular first molar and complex root canal morphology in incisors: a CBCT analysis in Indian population
Comparison of deep learning segmentation and multigrader-annotated mandibular canals of multicenter CBCT scans
Prevalence of multiple roots and complex canal morphology in mandibular premolars among a selected Southern Egyptian sub-population: a CBCT-analysis
Influence of bone anatomical morphology of mandibular molars on dental implant based on CBCT
Correction: Prevalence of multiple roots and complex canal morphology in mandibular premolars among a selected Southern Egyptian sub-population: a CBCT-analysis
Evaluation of root canal morphology in permanent maxillary and mandibular anterior teeth in Saudi subpopulation using two classification systems: a CBCT study
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT dataset
Accurate mandibular canal segmentation of dental CBCT using a two-stage 3D-UNet based segmentation framework