Journals
* First/Co-first author
** Corresponding/Co-Corresponding author
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2025 (updated on Mar. 21, 2025)
Large-scale Dermatopathology Dataset for Lesion Segmentation: Model Development and Analysis
Chong Y., Park D., Ahn Y., ..., Kim, Y. G.**
JKMS (Journal of Korean Medical Science), 2025 (accepted)
Novel Bone Scan Features for Predicting Prognosis in Men with Bone Metastatic Prostate Cancer: A Retrospective Study
Kim B.W., Han J.H., ..., Kim, Y. G.**, Jung C.W.
JKMS (Journal of Korean Medical Science), 2025 (accepted)
Fully Automated Segmentation and Classification of Renal Tumors on CT Scans via Machine Learning
Han J.H., Kim B.W., Ko J.Y., ..., Kim, Y. G.**, Jung C.W.
BMC Cancer, 2025
2024Â
Deep-learning Based Discrimination of Pathologic Complete Response Using MRI in HER2-positive and Triple-negative Breast Cancer
Kim, S. Y., Lee, J., Cho, N., Kim, Y. G.**Â
Scientific Reports, 2024
Increased Coherence Predicts Medical Refractoriness in Patients with Temporal Lobe Epilepsy on Monotherapy
Hwang, S., Shin, Y., Sunwoo, J. S., Son, H., Lee, S. B., Chu, K., Jung, K. Y., Lee, S., Kim, Y. G.**, Park, K. I.
Scientific Reports, 2024
A Disease-Specific Foundation Model Using Over 100K Fundus Images: Release and Validation for Abnormality and Multi-Disease Classification on Downstream Tasks
Jang, B., Ahn, Y., Choe, E., Yoon, C., Choi, H., Kim, Y. G.**
arXiv, 2024
Conventional Machine-learning based prediction models did not outperform the International IgA nephropathy Prediction Tool
Park, S., Kim, Y., Baek, C., Cho, H., Park, J., Koh, E., Lee, J., Park, S. H., Kim, H., Han, S., Chin, H., Kim, D., Moon, K., Kim, Y. G.**, Lee, H.
KRCP (Kidney Research and Clinical Practice), 2024
Identification of Preeclamptic Placenta in Whole Slide Images using Artificial Intelligence Placenta Analysis
Jung, Y., Park, S., Ahn, Y., Kim, H., Kim, E., Park, H., Kim, S. Kim, B., Lee, J., Park, C. W., Park, J., Jun, J., Kim, Y. G.**, Lee, S.
JKMS (Journal of Korean Medical Science), 2024
Self-Supervised Domain Adaptation for 6DoF Pose Estimation
Jin, J., Jeong, E., Cho, J., Kim, Y. G.**
IEEE Access, 2024
Deep Learning-based Fully Automated Grading System for Dry Eye Disease Severity
Kim, S., Park, D., Shin, Y., Kim, M., Jeon, H., Kim, Y. G.**, Yoon, C.
PLOSE ONE, 2024
Differential Diagnosis of Pleural Effusion using Machine Learning
Kim, N., Jang, B., Gu, K. M., Park, Y., Kim, Y. G.**, Cho, J.
AATC (Annals of the American Thoracic Society), 2024
A CT-based Deep Learning Model for Predicting Subsequent Fracture Risk in Patients with Hip Fracture
Kim, Y., Kim, Y. G.*, Park, J. W., Kim, B., Shin, Y., Kong. S., Kim, J., Lee Y. K., Kim, S., Shin, C.
Radiology, 2024
Multi-pose-based Convolutional Neural Network Model for Diagnosis of Patients with Central Lumbar Spinal Stenosis
Park, S., Kim, J. H., Ahn, Y., Yuh, W., Hyun, S. J., Kim, C., Kim, K. J., Chung, C., Lee, C. H., Kim, Y. G.**
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
Shin, Y., Hwang, S., Lee, S. B., Son, H., Chu, K., Jung, K. Y., Lee, S., Park, K. I., Kim, Y. G.**
Scientific Reports, 2023
Machine Learning Model for Predicting Immediate Postoperative Desaturation using Spirometry Signal Data
Shin, Y., Kim, Y., Jin, J., Lee, S. B., Kim, H. S., Kim, Y. G.**
Scientific reports, 2023
Preliminary Analysis of Predicting the First Recurrence in Patients with Neovascular Age-related Macular Degeneration using Deep Learning
Jang, B., Lee, S. Y., Kim, C., Park, U., Kim, Y. G.**, Lee, E.
BMC Ophthalmology, 2023
Trainable Weights for Multitask Learning
Ryu, C., Lee, C., Choi, H., Lee, C. H., Jeon, B., Chie, E., Kim, Y. G.**
IEEE Access, 2023
Investigation of Optimal Convolutional Neural Network Conditions for Thyroid Ultrasound Image Analysis
Lee, J. H., Kim, Y. G.*, Ahn, Y., Park, S., Kong, H. J., Choi, J., Kim, K., Nam, I. C., Lee, M. C., Masuoka, H., Miyauchi, A., Kim, S., Kim, Y., Choe, Eun., Chai, Y.
Scientific Reports, 2023
2022
Fully Automatic Volume Measurement of the Adrenal Gland on CT Using Deep Learning to Classify Adrenal Hyperplasia
Kim, T., Choi, S., Ko, J., Kim, S., Jeong, C., Cho, J., Kim, S., Kim, Y. G.**
European Radiology, 2022
Diagnostic Assessment of Deep Learning Algorithms for Frozen Tissue Section Analysis in Women with Breast Cancer
Kim, Y. G.*, Song, I., Cho, S., Kim, S., Kim, M., Ahn, S., Lee, H., Yang, D. Kim, N., Kim, S., Kim, T., Kim, D., Choi, J., Lee, K. S., Ma, M., Jo, M., Park, S., Gong, G.
Cancer Research and Treatment, 2022
Predicting Parkinson’s Disease using Gradient Boosting Decision Tree Models with Electroencephalography Signals
Lee, S. B., Kim, Y. J., Hwang, S., Son, H., Lee, S. K., Park, K. I., Kim, Y. G.**
Parkinsonism and Related Disorders, 2022
Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis
Kim, Y. G.*, Kim, K., Wu, D., Ren, H., Tak, W., Park, S., Lee, Y., Kang, M., Park, J., Kim, B., Chung, W., Kalra, M., Li, Q.
Diagnostics, 2022
Diagnostic Triage in Patients with Central Lumbar Spinal Stenosis Using a Deep Learning System of Plain Radiographs
Kim, T., Kim, Y. G.*, Park, S., Lee, J. K., Lee, C. H., Hyun, S. J., Kim, C., Kim, K. J., Chung, C.
Journal of Neurosurgery: Spine, 2022
2021
Automatic Tip Detection of Surgical Instruments in Biportal Endoscopic Spine Surgery
Cho, S., Kim, Y. G.*, Jeong, J., Kim, I., Lee, H. J., Kim, N.
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
Kim, I. H., Kim, Y. G.*, Kim, S., Park, J. W., Kim, N.
Scientific Reports, 2021
Codeless Deep Learning of COVID-19 Chest X-Ray Image Dataset with KNIME Analytics Platform
An, J., Seo, H., Kim, Y. G.*, Lee, K., Kim, S., Kong, H. J.
Healthcare Informatics Research, 2021
Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19
Zhong, A., Li, X., Wu, D., Ren, H., Kim, K., Kim, Y. G., Buch, V., Neumark, N., Bizzo, B., Tak, W., Park, S., Lee, Y., Kang, M., Park, J., Kim, B., Chung, W., Guo, N., Dayan, I., Kalra, M., Li, Q.
Medical Image Analysis, 2021
2020
Effectiveness of Transfer Learning for Enhancing Tumor Classification with a Convolutional Neural Network on Frozen Sections
Kim, Y. G.*, Kim, S., Cho, C. E., Song, I., Lee, H., Ahn, S., Park, S., Gong, G., Kim, N.
Scientific Reports, 2020
Reproducibility of Abnormality Detection on Chest Radiographs Using Convolutional Neural Network in Paired Radiographs Obtained within a Short-term Interval
Cho, Y., Kim, Y. G.*, Lee, S., Seo, J., Kim, N.
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
Kim, Y. G.*, Song, I., Lee, H., Kim, S., Yang, D., Kim, N., Shin, D., Yoo, Y., Lee, K., Kim, D., Jung, H., Cho, H., Lee, H., Kim, T., Choi, J., Seo, C., Han, S., Lee, Y., Park, J., Oh, S., Gong, G.
Cancer Research and Treatment, 2020
Optimal Matrix Size of Chest Radiographs for Computer-aided Detection on Lung Nodule or Mass with Deep Learning
Kim, Y. G.*, Lee, S., Lee, K., Jang, R., Seo, J., Kim, N.
European Radiology, 2020
Automated Detection Algorithm for C4d Immunostaining Showed Comparable Diagnostic Performance to Pathologists in Renal Allograft Biopsy
Choi, G., Kim, Y. G.*, Cho, H., Kim, N., Lee, H., Moon, K., Go, H.
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
Kim, Y. G.*, Cho, Y., Wu, C. J., Park, S., Jung, K. H., Seo, J., Lee, H., Hwang, H., Lee, S., Kim, N.
Scientific Reports, 2019
A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides
Kim, Y. G.*, Choi, G., Go, H., Cho, Y., Lee, H., Lee, A. R., Park, B., Kim, N.
Scientific Reports, 2019
Adaptive Disparity Estimation for Auto Convergence of Region of Interest in a Video
Kim, Y. G.*, Park, R. H.
International Journal of Computer Graphics & Animation, 2015
Face Detection using the 3x3 Block Rank Patterns of Gradient Magnitude Images
Park, K. S., Kim, Y. G., Park, R. H.
Int. Journal of Signal & Image Processing, 2013Â
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