| A Lesion-Based Convolutional Neural Network Improves Endoscopic Detection and Depth Prediction of Early Gastric Cancer HJ Yoon, S Kim, JH Kim, JS Keum, SI Oh, J Jo, J Chun, YH Youn, H Park, ... Journal of Clinical Medicine 8 (9), 1310, 2019 | 143 | 2019 |
| Object detection and classification by decision-level fusion for intelligent vehicle systems SI Oh, HB Kang Sensors 17 (1), 207, 2017 | 141 | 2017 |
| Deep Learning for Early Dental Caries Detection in Bitewing Radiographs S Lee, SI Oh, J Jo, S Kang, Y Shin, J Park Scientific Reports, 2021 | 102 | 2021 |
| Fast occupancy grid filtering using grid cell clusters from LIDAR and stereo vision sensor data SI Oh, HB Kang IEEE Sensors Journal 16 (19), 7258-7266, 2016 | 48 | 2016 |
| An optimal artificial intelligence system for real-time endoscopic prediction of invasion depth in early gastric cancer JH Kim, SI Oh, SY Han, JS Keum, KN Kim, JY Chun, YH Youn, H Park Cancers 14 (23), 6000, 2022 | 8 | 2022 |
| Multiple Objects Fusion Tracker Using a Matching Network for Adaptively Represented Instance Pairs SI Oh, HB Kang Sensors 17 (4), 883, 2017 | 5 | 2017 |
| Malignant thoracic lymph node classification with deep convolutional neural networks on real-time endobronchial ultrasound (EBUS) images SH Yong, SH Lee, SI Oh, JS Keum, KN Kim, MS Park, YS Chang, EY Kim Translational Lung Cancer Research 11 (1), 14-23, 2022 | 4 | 2022 |
| Development and Utilization of a Disgusting Image Dataset to Understand and Predict Visual Disgust SI Oh, HB Kang Image and Vision Computing, 2018 | 4 | 2018 |
| A New Method for Measurement and Prediction of Memorability from Logo Images using Characteristics of Color and Shape SI Oh, HB Kang Journal of Korea Multimedia Society 18 (12), 1509-1518, 2015 | 4 | 2015 |
| A modified sequential Monte Carlo Bayesian occupancy filter using linear opinion pool for grid mapping SI Oh, HB Kang Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 4 | 2015 |
| A New Object Proposal Generation Method for Object Detection in RGB-D Data SI Oh, HB Kang 15th IEEE International Symposium on Applied Machine Intelligence and …, 2017 | 3 | 2017 |
| Method for adding prediction results as training data using ai prediction model J Keum, K Kim, S Oh US Patent App. 18/031,798, 2023 | | 2023 |
| Neural network model training method and apparatus for complex characteristic classification and common localization J Keum, S Oh, K Kim US Patent App. 17/777,246, 2022 | | 2022 |
| APPLICATION OF DEEP LEARNING-BASED SYSTEM FOR PREDICTING THE DIFFERENTIATION STATUS OF EARLY GASTRIC CANCER SY Han, JH Kim, SI Oh, JS Keum, KN Kim, J Chun, YH Youn, H Park Gastrointestinal Endoscopy 95 (6), AB239, 2022 | | 2022 |
| UTILIZING VIDEOS TO TRAIN AN ARTIFICIAL INTELLIGENCE SYSTEM FOR REAL-TIME ENDOSCOPIC DIAGNOSIS SY Han, JH Kim, SI Oh, JS Keum, KN Kim, J Chun, YH Youn, H Park Gastrointestinal Endoscopy 95 (6), AB252-AB253, 2022 | | 2022 |
| Malignant Thoracic Lymph Node Classification with Deep Convolutional Neural Networks on Real-Time Endobronchial Ultrasound (EBUS) Images SH Yong, SI Oh, KN Kim, YM Park, AY Leem, SY Kim, YA Kang, YS Kim, ... 대한결핵및호흡기학회 추계학술발표초록집 129, 298-299, 2021 | | 2021 |
| Application of Convolutional Neural Network in the Diagnosis of Gastric Neoplasms Surrounded by Intestinal Metaplasia for Real Clinical Practice. HJ Yoon, JH Kim, J Keum, S Oh, J Jo, J Chun, YH Youn, H Park, IG Kwon, ... Gut & Liver 13, 2019 | | 2019 |
| SYSTEM AND METHOD FOR DETECTING AND PREDICTING BRAIN DISEASE SI Oh, HB Yoon, JY Kim, JH Kim, TK In KR Patent 1,019,574,560,000, 2019 | | 2019 |
| MEHTOD FOR TRACKING OBJECTS SD Sim, HB Kang, JU Kim, SI Oh KR Patent 1,019,253,360,000, 2018 | | 2018 |
| OBJECT DETECTION AND CLASSIFICATION METHOD J Min, HB Kang, SI Oh KR Patent 1,019,078,830,000, 2018 | | 2018 |
