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Seo Taek Kong
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Year
Self-supervised learning with electrocardiogram delineation for arrhythmia detection
BT Lee, ST Kong, Y Song, Y Lee
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
102021
Aggregation of cohorts for histopathological diagnosis with deep morphological analysis
J Park, YR Chung, ST Kong, YW Kim, H Park, K Kim, DI Kim, KH Jung
Scientific reports 11 (1), 2876, 2021
102021
Manifold ordinal-mixup for ordered classes in TW3-based bone age assessment
B Bae, J Lee, ST Kong, J Sung, KH Jung
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
82020
An interpretable and interactive deep learning algorithm for a clinically applicable retinal fundus diagnosis system by modelling finding-disease relationship
J Son, JY Shin, ST Kong, J Park, G Kwon, HD Kim, KH Park, KH Jung, ...
Scientific Reports 13 (1), 5934, 2023
72023
Leveraging the generalization ability of deep convolutional neural networks for improving classifiers for color fundus photographs
J Son, J Kim, ST Kong, KH Jung
Applied Sciences 11 (2), 591, 2021
62021
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity
ST Kong, S Jeon, D Na, J Lee, HS Lee, KH Jung
Advances in Neural Information Processing Systems, 2022
5*2022
Utilizing synthetic nodules for improving nodule detection in chest radiographs
M Chung, ST Kong, B Park, Y Chung, KH Jung, JB Seo
Journal of Digital Imaging 35 (4), 1061-1068, 2022
42022
Almost boltzmann exploration
H Gupta, ST Kong, R Srikant, W Wang
arXiv preprint arXiv:1901.08708, 2019
22019
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection
J Kim, ST Kong, D Na, KH Jung
Association for the Advancement of Artificial Intelligence, 2023
12023
Self-accumulative Vision Transformer for Bone Age Assessment Using the Sauvegrain Method
HJ Choi, D Na, K Cho, B Bae, ST Kong, H An
arXiv preprint arXiv:2303.16557, 2023
2023
A Provably Improved Algorithm for Crowdsourcing with Hard and Easy Tasks
ST Kong, S Mandal, D Katselis, R Srikant
arXiv preprint arXiv:2302.07393, 2023
2023
Volume is All You Need: Improving Multi-task Multiple Instance Learning for WMH Segmentation and Severity Estimation
D Lee, C Park, ST Kong, KH Jung, H Heo, SJ Kim
Machine Learning in Clinical Neuroimaging: 5th International Workshop, MLCN …, 2022
2022
Volume is All You Need: Improving Multi-task Multiple Instance Learning for WMH Segmentation and Severity Estimation
W Jung, CH Suh, WH Shim, J Kim, D Lee, C Park, ST Kong, KH Jung, ...
International Workshop on Machine Learning in Clinical Neuroimaging, 23-31, 2022
2022
Augmenting Magnetic Resonance Imaging with Tabular Features for Enhanced and Interpretable Medial Temporal Lobe Atrophy Prediction
D Lee, CH Suh, J Kim, W Jung, C Park, KH Jung, ST Kong, WH Shim, ...
International Workshop on Machine Learning in Clinical Neuroimaging, 125-134, 2022
2022
Abstraction in Pixel-wise Noisy Annotations Can Guide Attention to Improve Prostate Cancer Grade Assessment
H Kim, ST Kong, H Lee, K Kim, KH Jung
Workshop on Medical Image Learning with Limited and Noisy Data, 23-31, 2022
2022
Method for detecting abnormal findings and generating interpretation text of medical image
M Chung, B Park, ST Kong, Y Chung
US Patent App. 17/471,001, 2022
2022
Method to read chest image
B Park, M Chung, ST Kong, Y Chung
US Patent App. 17/466,697, 2022
2022
Better Optimization can Reduce Sample Complexity: Active Semi-Supervised Learning via Convergence Rate Control
ST Kong, S Jeon, J Lee, HS Lee, KH Jung
2020
Multi-armed bandits and applications to large datasets
ST Kong
University of Illinois at Urbana-Champaign, 2019
2019
Structure identification in layered precedence networks
ST Kong, D Katselis, CL Beck, R Srikant
2017 IEEE Conference on Control Technology and Applications (CCTA), 1177-1182, 2017
2017
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Articles 1–20