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In-Seok Song

Korea University · 医学

研究室紹介

Professor In-Seok Song's research lab specializes in the intersection of dental and medical imaging, artificial intelligence, and clinical diagnostics. The lab focuses on developing deep learning and machine learning models for automated detection and segmentation of oral and maxillofacial pathologies, including periodontal bone loss, maxillary sinus lesions, and skeletal maturation. Research also extends to patient-specific implant applications and the biological mechanisms linking systemic conditions like insulin resistance and neuro-immune interactions in skin and oral diseases. The lab emphasizes clinical translation through AI-driven diagnostic support systems and advanced imaging analysis.

dental imagingdeep learningperiodontal diseasemaxillofacial implantsskeletal maturation

Research Overview

Papers
150
Total Citations
2,951
Papers (5y)
57
Primary Field
医学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
57total
2022
2023
2024
2025
2026
Citations per year (5y)
241total
20222023202420252026

Selected Papers

15
1
Article|234 citations·2019
DeNTNet: Deep Neural Transfer Network for the detection of periodontal bone loss using panoramic dental radiographs
Jae‐Young Kim, Hong-Seok Lee, In‐Seok Song, Kyu-Hwan Jung
SJR Q1Scientific ReportsOA

In this study, a deep learning-based method for developing an automated diagnostic support system that detects periodontal bone loss in the panoramic dental radiographs is proposed. The presented method called DeNTNet not only detects lesions but also provides the corresponding teeth numbers of the lesion according to dental federation notation. DeNTNet applies deep convolutional neural networks(CNNs) using transfer learning and clinical prior knowledge to overcome the morphological variation of

Oral SurgeryDentistry
2
Article|86 citations·2022
Reconstruction of maxillofacial bone defects using patient-specific long-lasting titanium implants
Ho‐Kyung Lim, Young‐Jun Choi, Won‐Cheul Choi, In‐Seok Song, Ui‐Lyong Lee
SJR Q1Scientific ReportsOA

The objective of this retrospective study is to verify the effectiveness and safety of patient-specific titanium implants on maxillofacial bones, with a long-term follow-up. Total 16 patients with various maxillofacial defects underwent reconstruction using patient-specific titanium implants. Titanium implants, manufactured by electron beam melting, selective laser sintering, or milling, were inserted into the maxilla, mandible, or zygoma. Long-term follow-up (36.7 ± 20.1 months) was conducted a

Oral SurgeryDentistry
3
Article|61 citations·2015
Effect of decompression on cystic lesions of the mandible: 3-dimensional volumetric analysis
In‐Seok Song, H.S. Park, Byoung‐Moo Seo, J.H. Lee, M.J. Kim
SJR Q1British Journal of Oral and Maxillofacial Surgery
Oral SurgeryDentistry
4
Article|60 citations·2016
Severe Periodontitis Is Associated with Insulin Resistance in Non-abdominal Obese Adults
In‐Seok Song, Kyungdo Han, Yong‐Moon Park, Suk Ji, Sang-Ho Jun, Jae‐Jun Ryu, Jun‐Beom Park
SJR Q1The Journal of Clinical Endocrinology & MetabolismOA

CONTEXT: We hypothesized that insulin resistance, even with normal body weight (body mass index or waist circumference), can aggravate periodontitis severity. OBJECTIVE: We investigated the associations between diabetes, insulin resistance, and severe periodontitis. DESIGN: Among 29 235 total participants, 5690 subjects aged ≥ 30 y who had periodontal disease with community periodontal index (CPI) of 3 or 4 were selected for this study. PARTICIPANTS: Data were derived from the 2008-2010 Korea Na

PeriodonticsDentistry
5
Article|58 citations·2021
Deep Active Learning for Automatic Segmentation of Maxillary Sinus Lesions Using a Convolutional Neural Network
Seok‐Ki Jung, Ho‐Kyung Lim, Seungjun Lee, Yongwon Cho, In‐Seok Song
SJR Q2DiagnosticsOA

The aim of this study was to segment the maxillary sinus into the maxillary bone, air, and lesion, and to evaluate its accuracy by comparing and analyzing the results performed by the experts. We randomly selected 83 cases of deep active learning. Our active learning framework consists of three steps. This framework adds new volumes per step to improve the performance of the model with limited training datasets, while inferring automatically using the model trained in the previous step. We deter

Oral SurgeryDentistry
6
Article|57 citations·2000
Substance P induction of murine keratinocyte PAM 212 interleukin 1 production is mediated by the neurokinin 2 receptor (NK‐2R)
In‐Seok Song, Nigel W. Bunnett, John E. Olerud, Brad Harten, Martin Steinhoff, Jeffrey Brown, Ki Jung Sung, Cheryl A. Armstrong, J. C. Ansel
SJR Q1Experimental Dermatology

The neurological system plays an important role in modulating some inflammatory skin diseases. Neuro-cutaneous interactions may be mediated by the release of neuropeptides such as substance P (SP) which activate immunocompetent cells in the skin by binding to high affinity neurokinin receptors (NKR). Since epidermal keratinocytes produce a variety of cytokines and are intimately associated with cutaneous sensory fibers, we tested the ability of these cells to participate in the cutaneous neuroim

Cellular and Molecular NeuroscienceNeuroscience
7
Article|56 citations·2021
Prediction of hand‐wrist maturation stages based on cervical vertebrae images using artificial intelligence
Dong‐Wook Kim, Jinhee Kim, Tae-Sung Kim, Taewoo Kim, Yoon‐Ji Kim, In‐Seok Song, Byung-Duk Ahn, Jaegul Choo, Dong‐Yul Lee
SJR Q1Orthodontics and Craniofacial ResearchOA

OBJECTIVE: To predict the hand-wrist maturation stages based on the cervical vertebrae (CV) images, and to analyse the accuracy of the proposed algorithms. SETTINGS AND POPULATION: A total of 499 pairs of hand-wrist radiographs and lateral cephalograms of 455 orthodontic patients aged 6-18 years were used for developing the prediction model for hand-wrist skeletal maturation stages. MATERIALS AND METHODS: The hand-wrist radiographs and the lateral cephalograms were collected from two university

OrthodonticsDentistry
8
Article|46 citations·1995
Inhibition of cysteine proteinases by carica papaya cystatin produced in escherichia coli
In‐Seok Song, Mark A. Taylor, Kenneth C. Baker, Robert C. Bateman
SJR Q2Gene
Complementary and alternative medicineMedicine
9
Article|44 citations·2001
Different Suicide Inactivation Processes for the Peroxidase and Cyclooxygenase Activities of Prostaglandin Endoperoxide H Synthase-1
In‐Seok Song, Terry Ball, William L. Smith
SJR Q2Biochemical and Biophysical Research Communications
PharmacologyMedicine
10
Article|44 citations·1994
Molecular cloning, sequence analysis and expression of human pituitary glutaminyl cyclase
In‐Seok Song, C Z Chuang, Robert C. Bateman
SJR Q1Journal of Molecular Endocrinology

A cDNA clone for glutaminyl cyclase was isolated from a human pituitary cDNA library and the complete DNA sequence determined. The cDNA clone had 1573 bp and contained an open reading frame of 1086 bases, coding for a protein of 361 amino acids and molecular mass of 40,876 Da. The predicted amino acid sequence of the human cDNA showed 86% sequence identity to the previously reported bovine glutaminyl cyclase sequence. A comparison of the amino acid sequences derived from the human and bovine cDN

BiochemistryBiochemistry, Genetics and Molecular Biology
11
Article|39 citations·2021
Deep semi-supervised learning for automatic segmentation of inferior alveolar nerve using a convolutional neural network
Ho‐Kyung Lim, Seok‐Ki Jung, Seung Hyun Kim, Yongwon Cho, In‐Seok Song
SJR Q1BMC Oral HealthOA

BACKGROUND: The inferior alveolar nerve (IAN) innervates and regulates the sensation of the mandibular teeth and lower lip. The position of the IAN should be monitored prior to surgery. Therefore, a study using artificial intelligence (AI) was planned to image and track the position of the IAN automatically for a quicker and safer surgery. METHODS: A total of 138 cone-beam computed tomography datasets (Internal: 98, External: 40) collected from multiple centers (three hospitals) were used in the

Oral SurgeryDentistry
12
Article|30 citations·2017
Obesity is inversely related to the risks of dental caries in Korean adults
In‐Seok Song, Kyungdo Han, J‐J. RYU, Jun‐Beom Park
SJR Q1Oral Diseases

OBJECTIVE: This study investigated whether obesity is linked with dental caries. This study hypothesized that obesity may influence the number or prevalence of dental caries in Korean adults. SUBJECTS AND METHODS: Data were derived from Korea National Health and Nutrition Examination Survey performed at 2008-2010. Lifestyle, sociodemographic, and biochemical variables were analyzed. Indices related to obesity, sarcopenia, and metabolic syndrome were investigated. Finally, caries index and oral h

PeriodonticsDentistry
13
Article|29 citations·2018
Coffee Intake as a Risk Indicator for Tooth Loss in Korean Adults
In‐Seok Song, Kyungdo Han, Jae‐Jun Ryu, Yeon‐Jo Choi, Jun‐Beom Park
SJR Q1Scientific ReportsOA

The aim of this study was to examine the association between coffee intake and tooth loss. This study hypothesized that the intake of coffee would increase the prevalence of tooth loss in Korean adults. Subject information was obtained from the Korea National Health and Nutrition Examination Survey conducted in 2010-2011. Sociodemographic and lifestyle variables, anthropometric and biochemical status, metabolic health and glucose tolerance status, as well as oral health behaviors were evaluated.

Nutrition and DieteticsNursing
14
Article|28 citations·2017
Association between underweight and tooth loss among Korean adults
In‐Seok Song, Kyungdo Han, Jae‐Jun Ryu, Jun‐Beom Park
SJR Q1Scientific ReportsOA

There is growing interest in the relationship between body mass index and oral health. Previous study showed that being underweight was significantly associated with having lower masticatory performance. This study was performed to assess the relationship between an underweight body mass index lower than 18.5 and the number of natural teeth using nationally representative data. Initially, a total of 25,534 individuals were candidates in the Korean National Health and Nutrition Examination Survey

PhysiologyMedicine
15
Article|27 citations·2016
Associations between the consumption of carbonated beverages and periodontal disease
In‐Seok Song, Kyungdo Han, Youngkyung Ko, Yong Gyu Park, Jae‐Jun Ryu, Jun‐Beom Park
SJR Q3MedicineOA

Consumption of carbonated beverages was reported to be associated with obesity and other adverse health consequences. This study was performed to assess the relationship between the consumption of carbonated beverages and periodontal disease using nationally representative data.The data from the Korea National Health and Nutrition Examination Survey conducted between 2008 and 2010 were used; the analysis in this study was confined to a total of 5517 respondents >19 years old who had no missing v

PeriodonticsDentistry

Research Areas

PharmacologyOral SurgerySurgeryGeneral DentistryPeriodonticsGenetics

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