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Automatic diagnosis for cysts and tumors of both jaws on panoramic radiographs using a deep convolution neural network

Dento-maxillo-facial radiology, 2020-12, Vol.49 (8), p.20200185

2020

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Validation of bone mineral density measurement using quantitative CBCT image based on deep learning

Scientific reports, 2023-07, Vol.13 (1), p.11921-11921, Article 11921

2023

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SinusC-Net for automatic classification of surgical plans for maxillary sinus augmentation using a 3D distance-guided network

Scientific reports, 2023-07, Vol.13 (1), p.11653-11653, Article 11653

2023

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Automatic classification of 3D positional relationship between mandibular third molar and inferior alveolar canal using a distance-aware network

BMC oral health, 2023-10, Vol.23 (1), p.1-794, Article 794

2023

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Ceph-Net: automatic detection of cephalometric landmarks on scanned lateral cephalograms from children and adolescents using an attention-based stacked regression network

BMC oral health, 2023-10, Vol.23 (1), p.803-803, Article 803

2023

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Comparison of 2D, 2.5D, and 3D segmentation networks for maxillary sinuses and lesions in CBCT images

BMC oral health, 2023-11, Vol.23 (1), p.1-866, Article 866

2023

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Automatic detection of tooth cracks in optical coherence tomography images

Journal of Periodontal & Implant Science, 2017, 47(1), , pp.41-50

2017

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Relationship between physical factors and subjective image quality of cone-beam computed tomography images according to diagnostic task

Oral surgery, oral medicine, oral pathology and oral radiology, 2015-03, Vol.119 (3), p.357-365

2015

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The relationship between dental implant stability and trabecular bone structure using cone-beam computed tomography

Journal of Periodontal & Implant Science, 2016, 46(2), , pp.116-127

2016

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Quantitative measurement of peri-implant bone defects using optical coherence tomography

Journal of Periodontal & Implant Science, 2018, 48(2), , pp.84-91

2018

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Structure-preserving quality improvement of cone beam CT images using contrastive learning

Computers in biology and medicine, 2023-05, Vol.158, p.106803-106803, Article 106803

2023

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Material decomposition with the multi-energy attenuation coefficient ratio by using a multiple discriminant analysis

Journal of the Korean Physical Society, 2016, 69(2), , pp.231-240

2016

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MAFNet: A deep multi-scale attentive fusion network for virtual osteotomy of maxillofacial bones in CT images containing metal artifacts

Biomedical signal processing and control, 2024-09, Vol.95, p.106411, Article 106411

2024

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Improved accuracy in periodontal pocket depth measurement using optical coherence tomography

Journal of Periodontal & Implant Science, 2017, 47(1), , pp.13-19

2017

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Tooth cracks detection and gingival sulcus depth measurement using optical coherence tomography

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017, Vol.2017, p.4403-4406

2017

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The Usefulness of the Artificial Intelligence Data in Analyzing the Skin in the Era of the Fourth Industrial Revolution

Journal of biosciences and medicines, 2022, Vol.10 (7), p.114-122

Kang, Se Ryong

2022

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Radiation dose reduction in CBCT imaging using K-edge filtering and energy weighting

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014, Vol.2014, p.5137-5140

2014

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Material classification of multi-energy CT images using multiple discriminant analysis

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014, Vol.2014, p.1103-1106

2014

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Automatic detection of tooth cracks in optical coherence tomography images

Journal of periodontal & implant science, 2017, Vol.47 (1), p.41-50

2017

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Development of a robot-assisted orthognathic surgery system integrated with image-guided navigation

2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), 2016, p.395-395

2016

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Quantitative measurement of peri-implant bone defects using optical coherence tomography

Journal of periodontal & implant science, 2018, Vol.48 (2), p.84-91

2018

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Improved accuracy in periodontal pocket depth measurement using optical coherence tomography

Journal of periodontal & implant science, 2017, Vol.47 (1), p.13-19

2017

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The relationship between dental implant stability and trabecular bone structure using cone-beam computed tomography

Journal of periodontal & implant science, 2016, Vol.46 (2), p.116-127

2016

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An Automatic Diagnose Method for Radiographic Bone Loss and Periodontitis Staging Using Deep Learning

The transactions of the Korean Institute of Electrical Engineers, 2021-12, Vol.70 (12), p.1891-1897

2021

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Multi-class Segmentation of Anatomical Structures Using Deep Learning in CBCT Images Containing Metal Artifacts

The transactions of the Korean Institute of Electrical Engineers, 2022-01, Vol.71 (1), p.253-261

2022

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Automatic diagnosis for cysts and tumors of both jaws on panoramic radiographs using a deep convolution neural network

Validation of bone mineral density measurement using quantitative CBCT image based on deep learning

SinusC-Net for automatic classification of surgical plans for maxillary sinus augmentation using a 3D distance-guided network

Automatic classification of 3D positional relationship between mandibular third molar and inferior alveolar canal using a distance-aware network

Ceph-Net: automatic detection of cephalometric landmarks on scanned lateral cephalograms from children and adolescents using an attention-based stacked regression network

Comparison of 2D, 2.5D, and 3D segmentation networks for maxillary sinuses and lesions in CBCT images

Automatic detection of tooth cracks in optical coherence tomography images

Relationship between physical factors and subjective image quality of cone-beam computed tomography images according to diagnostic task

The relationship between dental implant stability and trabecular bone structure using cone-beam computed tomography

Quantitative measurement of peri-implant bone defects using optical coherence tomography

Structure-preserving quality improvement of cone beam CT images using contrastive learning

Material decomposition with the multi-energy attenuation coefficient ratio by using a multiple discriminant analysis

MAFNet: A deep multi-scale attentive fusion network for virtual osteotomy of maxillofacial bones in CT images containing metal artifacts

Improved accuracy in periodontal pocket depth measurement using optical coherence tomography

Tooth cracks detection and gingival sulcus depth measurement using optical coherence tomography

The Usefulness of the Artificial Intelligence Data in Analyzing the Skin in the Era of the Fourth Industrial Revolution

Radiation dose reduction in CBCT imaging using K-edge filtering and energy weighting

Material classification of multi-energy CT images using multiple discriminant analysis

Automatic detection of tooth cracks in optical coherence tomography images

Development of a robot-assisted orthognathic surgery system integrated with image-guided navigation

Quantitative measurement of peri-implant bone defects using optical coherence tomography

Improved accuracy in periodontal pocket depth measurement using optical coherence tomography

The relationship between dental implant stability and trabecular bone structure using cone-beam computed tomography

An Automatic Diagnose Method for Radiographic Bone Loss and Periodontitis Staging Using Deep Learning

Multi-class Segmentation of Anatomical Structures Using Deep Learning in CBCT Images Containing Metal Artifacts

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