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Imaging Science in Dentistry : Impact Factor & More

eISSN: 2233-7830pISSN: 2233-7822
JournalOpen Access

Key Metrics

CiteScore
2.5
SJR
Q3Dentistry (all)
SNIP
1.23
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Topics Covered on Imaging Science in Dentistry

Imaging Science in Dentistry Journal Specifications

Overview
Publisher KOREAN ACAD ORAL & MAXILLOFACIAL RADIOLOGY
Language English
Frequency Quarterly
Article Processing ChargesKRW 360000
Publication Time20
Editorial Review ProcessDouble anonymous peer review
General Details
LanguageEnglish
Society/Institute/SponsorKorean Academy of Oral and Maxillofacial Radiology
FrequencyQuarterly
Publication Start Year1971
Publisher URLVisit website
Website URLVisit website
Publication Details
PlagiarismVisit website
Publication Time 20
Waiver PolicyVisit website
Editorial Review Detail
Editorial TeamVisit website
Review ProcessDouble anonymous peer review
Review UrlVisit website
Information for authors
Author instructionsVisit website
Copyright DetailsVisit website
License typeCC BY-NC
OA statementVisit website
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Recently Published Papers in Imaging Science in Dentistry

Evaluation of artifacts in cone-beam computed tomography from different intraradicular pins and cementation materials using different exposure protocols
  • 28 May 2026
  • Imaging Science in Dentistry
Ultrasound radiomics features for identifying the masseter muscle in patients with masticatory muscle tendon\u2013aponeurosis hyperplasia: A pilot study
  • 28 May 2026
  • Imaging Science in Dentistry
Accuracy of deep learning in the detection of carotid calcifications on cone-beam computed tomography: A systematic review
  • 28 May 2026
  • Imaging Science in Dentistry
Assessment of artificial intelligence in detecting errors on panoramic radiographs
  • 14 Apr 2026
  • Imaging Science in Dentistry
Classification of dental implants using supervised deep learning from dental radiographs: A scoping review
  • 14 Apr 2026
  • Imaging Science in Dentistry
Deep learning-driven super-resolution for cone-beam computed tomography: An ex vivo proof-of-concept study using artificially degraded micro-computed tomography data
  • 14 Apr 2026
  • Imaging Science in Dentistry
Evaluation of artifacts in cone-beam computed tomography from different intraradicular pins and cementation materials using different exposure protocols
  • 28 May 2026
  • Imaging Science in Dentistry
Ultrasound radiomics features for identifying the masseter muscle in patients with masticatory muscle tendon\u2013aponeurosis hyperplasia: A pilot study
  • 28 May 2026
  • Imaging Science in Dentistry
Accuracy of deep learning in the detection of carotid calcifications on cone-beam computed tomography: A systematic review
  • 28 May 2026
  • Imaging Science in Dentistry
Assessment of artificial intelligence in detecting errors on panoramic radiographs
  • 14 Apr 2026
  • Imaging Science in Dentistry
Classification of dental implants using supervised deep learning from dental radiographs: A scoping review
  • 14 Apr 2026
  • Imaging Science in Dentistry
Deep learning-driven super-resolution for cone-beam computed tomography: An ex vivo proof-of-concept study using artificially degraded micro-computed tomography data
  • 14 Apr 2026
  • Imaging Science in Dentistry

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