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Showing results 61 to 74 of 74

Issue DateTitle / Author(s) / CitationFileAltmetrics
2020-10
Development of panorama resolution phantom for comprehensive evaluation of the horizontal and vertical resolution of panoramic radiography
DOI
2020-11
Quantitative Augmented Reality-Assisted Free-Hand Orthognathic Surgery Using Electromagnetic Tracking and Skin-Attached Dynamic Reference
DOI
2020-12
Deep Learning Hybrid Method to Automatically Diagnose Periodontal Bone Loss and Stage Periodontitis
DOI
2021-07
QCBCT-NET for direct measurement of bone mineral density from quantitative cone-beam CT: a human skull phantom study
DOI
2021-09
A Complete Digital Workflow for Planning, Simulation, and Evaluation in Orthognathic Surgery
DOI
2022-01
Automatic detection of teeth and dental treatment patterns on dental panoramic radiographs using deep neural networks
DOI
2022-09
Correlation analysis between radiation exposure and the image quality of cone-beam computed tomography in the dental clinical environment

Song, Chang-Ho; Yeom, Han-Gyeol; Kim, Jo-Eun; Huh, Kyung-Hoe; Yi, Won-Jin; Heo, Min-Suk; Lee, Sam-Sun

Imaging Science in Dentistry, Vol.52 No.3, pp.283-288

DOI
2022-12
Deep learning-based apical lesion segmentation from panoramic radiographs

Song, Il-Seok; Shin, Hak-Kyun; Kang, Ju-Hee; Kim, Jo-Eun; Huh, Kyung-Hoe; Yi, Won-Jin; Lee, Sam-Sun; Heo, Min-Suk

Imaging Science in Dentistry, Vol.52 No.4, pp.351-357

DOI
2022-12
Differentiation of osteosarcoma from osteomyelitis using microarchitectural analysis on panoramic radiographs
DOI
2022-12
Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network
DOI
2023-10
Automatic classification of 3D positional relationship between mandibular third molar and inferior alveolar canal using a distance-aware network
view fileDOI
2023-10
Ceph-Net: automatic detection of cephalometric landmarks on scanned lateral cephalograms from children and adolescents using an attention-based stacked regression network
view fileDOI
2023-11
Comparison of 2D, 2.5D, and 3D segmentation networks for maxillary sinuses and lesions in CBCT images
view fileDOI
2024-02
Correction: Ceph-Net: automatic detection of cephalometric landmarks on scanned lateral cephalograms from children and adolescents using an attention-based stacked regression network
view fileDOI
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