| 69 |
Hopes of becoming the bridge for North Korean scientists to the worldHopes of becoming the bridge for North Korean scientists to the world
Tae-Il KimTae-Il Kim
KMSID: 1107996 J Periodontal Implant Sci. 2018;48(2):69-69. Published online 2018 April 30 DOI: http://dx.doi.org/10.5051/jpis.2018.48.2.69 |
|
| 70 |
Magnoliae Cortex and maize modulate Porphyromonas gingivalis-induced inflammatory reactionsMagnoliae Cortex and maize modulate Porphyromonas gingivalis-induced inflammatory reactions
Jae-Yoon Kim, Kyoung-Hwa Kim, Eun-Hye Kwag, Yang Jo Seol, Yong Moo Lee, Young Ku, In-Chul RhyuJae-Yoon Kim, Kyoung-Hwa Kim, Eun-Hye Kwag, Yang Jo Seol, Yong Moo Lee, Young Ku, In-Chul Rhyu
KMSID: 1107997 J Periodontal Implant Sci. 2018;48(2):70-83. Published online 2018 April 30 DOI: http://dx.doi.org/10.5051/jpis.2018.48.2.70 |
|
| 84 |
Quantitative measurement of peri-implant bone defects using optical coherence tomographyQuantitative measurement of peri-implant bone defects using optical coherence tomography
Sulhee Kim, Se-Ryong Kang, Hee-Jung Park, Bome Kim, Tae-Il Kim, Won-Jin YiSulhee Kim, Se-Ryong Kang, Hee-Jung Park, Bome Kim, Tae-Il Kim, Won-Jin Yi
KMSID: 1107998 J Periodontal Implant Sci. 2018;48(2):84-91. Published online 2018 April 30 DOI: http://dx.doi.org/10.5051/jpis.2018.48.2.84 |
|
| 92 |
Charlson comorbidity index as a predictor of periodontal disease in elderly participantsCharlson comorbidity index as a predictor of periodontal disease in elderly participants
Jae-Hong Lee, Jung-Kyu Choi, Seong-Nyum Jeong, Seong-Ho ChoiJae-Hong Lee, Jung-Kyu Choi, Seong-Nyum Jeong, Seong-Ho Choi
KMSID: 1108135 J Periodontal Implant Sci. 2018;48(2):92-102. Published online 2018 April 30 DOI: http://dx.doi.org/10.5051/jpis.2018.48.2.92 |
|
| 103 |
Comparison of marginal bone loss between internal- and external-connection dental implants in posterior areas without periodontal or peri-implant diseaseComparison of marginal bone loss between internal- and external-connection dental implants in posterior areas without periodontal or peri-implant disease
Dae-Hyun Kim, Hyun Ju Kim, Sungtae Kim, Ki-Tae Koo, Tae-Il Kim, Yang-Jo Seol, Yong-Moo Lee, Young Ku, In-Chul RhyuDae-Hyun Kim, Hyun Ju Kim, Sungtae Kim, Ki-Tae Koo, Tae-Il Kim, Yang-Jo Seol, Yong-Moo Lee, Young Ku, In-Chul Rhyu
KMSID: 1107987 J Periodontal Implant Sci. 2018;48(2):103-113. Published online 2018 April 30 DOI: http://dx.doi.org/10.5051/jpis.2018.48.2.103 |
|
| 114 |
Diagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithmDiagnosis and prediction of periodontally compromised teeth using a deep learning-based convolutional neural network algorithm
Jae-Hong Lee, Do-hyung Kim, Seong-Nyum Jeong, Seong-Ho ChoiJae-Hong Lee, Do-hyung Kim, Seong-Nyum Jeong, Seong-Ho Choi
KMSID: 1107988 J Periodontal Implant Sci. 2018;48(2):114-123. Published online 2018 April 30 DOI: http://dx.doi.org/10.5051/jpis.2018.48.2.114 |
|
| 124 |
Methods for quantitative measurement of tooth wear using the area and volume of virtual model cuspsMethods for quantitative measurement of tooth wear using the area and volume of virtual model cusps
Soo-Hyun Kim, Young-Seok Park, Min-Kyoung Kim, Sulhee Kim, Seung-Pyo LeeSoo-Hyun Kim, Young-Seok Park, Min-Kyoung Kim, Sulhee Kim, Seung-Pyo Lee
KMSID: 1107990 J Periodontal Implant Sci. 2018;48(2):124-134. Published online 2018 April 30 DOI: http://dx.doi.org/10.5051/jpis.2018.48.2.124 |
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