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Seo Taek Kong
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Journal Articles
- 2022
- [j1]Minki Chung, Seo Taek Kong, Beomhee Park, Younjoon Chung, Kyu-Hwan Jung, Joon Beom Seo:
Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs. J. Digit. Imaging 35(4): 1061-1068 (2022)
Conference and Workshop Papers
- 2023
- [c8]Jaeyoung Kim, Seo Taek Kong, Dongbin Na, Kyu-Hwan Jung:
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection. AAAI 2023: 8246-8254 - 2022
- [c7]Wooseok Jung, Chong Hyun Suh, Woo-Hyun Shim, Jinyoung Kim, Dongsoo Lee, Changhyun Park, Seo Taek Kong, Kyu-Hwan Jung, Hwon Heo, Sang Joon Kim:
Volume is All You Need: Improving Multi-task Multiple Instance Learning for WMH Segmentation and Severity Estimation. MLCN@MICCAI 2022: 23-31 - [c6]Hyeongsub Kim, Seo Taek Kong, Hongseok Lee, Kyungdoc Kim, Kyu-Hwan Jung:
Abstraction in Pixel-wise Noisy Annotations Can Guide Attention to Improve Prostate Cancer Grade Assessment. MILLanD@MICCAI 2022: 23-31 - [c5]Dongsoo Lee, Chong Hyun Suh, Jinyoung Kim, Wooseok Jung, Changhyun Park, Kyu-Hwan Jung, Seo Taek Kong, Woo-Hyun Shim, Hwon Heo, Sang Joon Kim:
Augmenting Magnetic Resonance Imaging with Tabular Features for Enhanced and Interpretable Medial Temporal Lobe Atrophy Prediction. MLCN@MICCAI 2022: 125-134 - [c4]Seo Taek Kong, Soomin Jeon, Dongbin Na, Jaewon Lee, Hong-Seok Lee, Kyu-Hwan Jung:
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity. NeurIPS 2022 - 2021
- [c3]ByeongTak Lee, Seo Taek Kong, Youngjae Song, Yeha Lee:
Self-Supervised Learning with Electrocardiogram Delineation for Arrhythmia Detection. EMBC 2021: 591-594 - 2020
- [c2]Byeonguk Bae, Jaewon Lee, Seo Taek Kong, Jinkyeong Sung, Kyu-Hwan Jung:
Manifold Ordinal-Mixup for Ordered Classes in TW3-Based Bone Age Assessment. MICCAI (6) 2020: 662-670 - 2017
- [c1]Seo Taek Kong, Dimitrios Katselis, Carolyn L. Beck, R. Srikant:
Structure identification in layered precedence networks. CCTA 2017: 1177-1182
Informal and Other Publications
- 2023
- [i5]Jaeyoung Kim, Seo Taek Kong, Dongbin Na, Kyu-Hwan Jung:
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection. CoRR abs/2301.13012 (2023) - [i4]Seo Taek Kong, Saptarshi Mandal, Dimitrios Katselis, R. Srikant:
A Provably Improved Algorithm for Crowdsourcing with Hard and Easy Tasks. CoRR abs/2302.07393 (2023) - [i3]Hong-Jun Choi, Dongbin Na, Kyungjin Cho, Byunguk Bae, Seo Taek Kong, Hyunjoon An:
Self-accumulative Vision Transformer for Bone Age Assessment Using the Sauvegrain Method. CoRR abs/2303.16557 (2023) - 2021
- [i2]Seo Taek Kong, Soomin Jeon, Jaewon Lee, Hongseok Lee, Kyu-Hwan Jung:
Relieving the Plateau: Active Semi-Supervised Learning for a Better Landscape. CoRR abs/2104.03525 (2021) - 2019
- [i1]Harsh Gupta, Seo Taek Kong, R. Srikant, Weina Wang:
Almost Boltzmann Exploration. CoRR abs/1901.08708 (2019)
Coauthor Index
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