Journals
* First/Co-first author
** Corresponding/Co-Corresponding author
2024 (updated June. 5, 2024)
Conventional Machine-learning based prediction models did not outperform the International IgA nephropathy Prediction Tool
S. Park, Y. Kim, ..., and Y.-G. Kim**, KRCP (Kidney Research and Clinical Practice), 2024
Differential Diagnosis of Pleural Effusion using Machine Learning
N.Y. Kim, B. Jang, ..., Y.-G. Kim**, and J. Cho, AATC (Annals of the American Thoracic Society), 2024
Assessing a CT-based Deep Learning Model for Predicting Short-Term Subsequent Fracture Risk in Patients with Hip Fracture
Y. Kim,Y.-G. Kim*, ..., S. H. Kong, Radiology, 2024
Multi-pose-based Convolutional Neural Network Model for Diagnosis of Patients with Central Lumbar Spinal Stenosis
S. Park, J.H. Kim, ..., Y.-G. Kim**, Scientific Reports, 2024
2023
Using spectral and temporal filters with EEG signal to predict the temporal lobe epilepsy outcome after antiseizure medication via machine learning
Y. Kim, S. Hwang, ...,Y.-G. Kim**, Scientific Reports, 2023
Machine Learning Model for Predicting Immediate Postoperative Desaturation Using Spirometry Signal Data
Y. Shin, Y. J. Kim, ..., Y.-G. Kim**, Scientific reports, 2023
Preliminary Analysis of Predicting the First Recurrence in Patients with Neovascular Age-related Macular Degeneration using Deep Learning
B. Jang, ..., Y.-G. Kim**, E. K. Lee, BMC Ophthalmology, 2023
DAPO: Self-supervised Domain Adaptation for 6DoF Pose Estimation
J. Jin, E. Jeong, ..., Y.-G. Kim**, NeurIPS (SSLTheoryPractice23 workshop), 2023
Investigation of optimal convolutional neural network conditions for thyroid ultrasound image analysis
J.-H. Lee, Y.-G. Kim*, ..., Y.J. Chai, Scientific Reports, 2023
2022
Fully Automatic Volume Measurement of the Adrenal Gland on CT Using Deep Learning to Classify Adrenal Hyperplasia
T.M., Kim, ..., Y.-G. Kim**, European Radiology, 2022
Diagnostic Assessment of Deep Learning Algorithms for Frozen Tissue Section Analysis in Women with Breast Cancer
Y.-G. Kim*, In Hye Song*, ... and G. Gong, Cancer Research and Treatment, 2022
Predicting Parkinson’s Disease Using Gradient Boosting Decision Tree Models with Electroencephalography Signals
S.-B. Lee*, ..., Y.-G. Kim**, Parkinsonism and Related Disorders, 2022
Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis
Y.-G. Kim*, K. Kim, ..., Q. Li, Diagnostics, 2022
Diagnostic Triage in Patients with Central Lumbar Spinal Stenosis Using a Deep Learning System of Plain Radiographs
T. Kim*, Y.-G. Kim*, et al., Journal of Neurosurgery: Spine, 2022
2021
Automatic tip detection of surgical instruments in biportal endoscopic spine surgery
S.M. Cho, Y.-G. Kim, et al., Computers in Biology and Medicine, 2021
Comparing Intra-Observer Variation and External Variations of a Fully Automated Cephalometric Analysis with a Cascade Convolutional Neural Net
I-H Kim, Y.-G. Kim, et al., Scientific Reports, 2021
Codeless Deep Learning of COVID-19 Chest X-Ray Image Dataset with KNIME Analytics Platform
J. Y. An, Y.-G. Kim*, et al., Healthcare Informatics Research, 2021
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19
A. Zhong, ..., Y.-G. Kim, et al., Medical Image Analysis, 2021
2020
Effectiveness of transfer learning for enhancing tumor classification with a convolutional neural network on frozen sections
Y.-G. Kim*, S. Kim, et al., Scientific Reports, 2020
Reproducibility of abnormality detection on chest radiographs using convolutional neural network in paired radiographs obtained within a short-term interval
Yongwon Cho*, Y.-G. Kim*, et al., Scientific Reports, 2020
Challenge for Diagnostic Assessment of Deep Learning Algorithm for Metastases Classification in Sentinel Lymph Nodes on Frozen Tissue Section Digital Slides in Women with Breast Cancer
Y.-G. Kim*, In Hye Song*, et al., Cancer Research and Treatment, 2020
Optimal Matrix Size of Chest Radiographs using Deep Convolutional Neural Net: Accuracy of Computer-Aided Detection on Various Sizes of Lung Nodule and Mass
Y.-G. Kim*, S. M. Lee, et al., European Radiology, 2020
Automated detection algorithm for C4d immunostaining showed comparable diagnostic performance to pathologists in renal allograft biopsy
G. Choi*, Y.-G. Kim*, et al., Modern Pathology, 2020
~2019
Short-term Reproducibility of Pulmonary Nodule and Mass Detection in Chest Radiographs: Comparison among Radiologists and Four Different Computer-Aided Detections with Convolutional Neural Net
Y.-G. Kim*, Y. C.* In, et al., Scientific Reports, 2019
A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides
Y.-G. Kim*, G. Choi*, et al., Scientific Reports, 2019
Adaptive Disparity Estimation for Auto Convergence of Region of Interest in a Video
Y.-G. Kim*, R.-H. Park, International Journal of Computer Graphics & Animation, 2015
Face Detection using the 3x3 Block Rank Patterns of Gradient Magnitude Images
K.-S. Park, Y.-G. Kim, et al., Int. Journal of Signal & Image Processing, 2013