Structure identification in layered precedence networks. - Seo Taek Kong; Dimitrios Katselis; Carolyn L. Beck; R. Srikant 001 (CCTA, 2017)

Almost Boltzmann Exploration. - Harsh Gupta; Seo Taek Kong; R. Srikant 001; Weina Wang 001 (CoRR, 2019)

Manifold Ordinal-Mixup for Ordered Classes in TW3-Based Bone Age Assessment. - Byeonguk Bae; Jaewon Lee; Seo Taek Kong; Jinkyeong Sung; Kyu-Hwan Jung (MICCAI (6), 2020)

Self-Supervised Learning with Electrocardiogram Delineation for Arrhythmia Detection. - ByeongTak Lee; Seo Taek Kong; Youngjae Song; Yeha Lee (EMBC, 2021)

Relieving the Plateau: Active Semi-Supervised Learning for a Better Landscape. - Seo Taek Kong; Soomin Jeon; Jaewon Lee; Hongseok Lee; Kyu-Hwan Jung (CoRR, 2021)

Volume is All You Need: Improving Multi-task Multiple Instance Learning for WMH Segmentation and Severity Estimation. - 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 (MLCN@MICCAI, 2022)

Abstraction in Pixel-wise Noisy Annotations Can Guide Attention to Improve Prostate Cancer Grade Assessment. - Hyeongsub Kim; Seo Taek Kong; Hongseok Lee; Kyungdoc Kim; Kyu-Hwan Jung (MILLanD@MICCAI, 2022)

Augmenting Magnetic Resonance Imaging with Tabular Features for Enhanced and Interpretable Medial Temporal Lobe Atrophy Prediction. - 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 (MLCN@MICCAI, 2022)

A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity. - Seo Taek Kong; Soomin Jeon; Dongbin Na; Jaewon Lee; Hong-Seok Lee; Kyu-Hwan Jung (NeurIPS, 2022)

Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs. - Minki Chung; Seo Taek Kong; Beomhee Park; Younjoon Chung; Kyu-Hwan Jung; Joon Beom Seo (J. Digit. Imaging, 2022)

Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection. - Jaeyoung Kim; Seo Taek Kong; Dongbin Na; Kyu-Hwan Jung (AAAI, 2023)

A Provably Improved Algorithm for Crowdsourcing with Hard and Easy Tasks. - Seo Taek Kong; Saptarshi Mandal; Dimitrios Katselis; R. Srikant 001 (CoRR, 2023)

Self-accumulative Vision Transformer for Bone Age Assessment Using the Sauvegrain Method. - Hong-Jun Choi; Dongbin Na; Kyungjin Cho; Byunguk Bae; Seo Taek Kong; Hyunjoon An (CoRR, 2023)

Self-Accumulative Vision Transformer for Bone Age Assessment Using the Sauvegrain Method. - Hong-Jun Choi; Dongbin Na; Kyungjin Cho; Byunguk Bae; Seo Taek Kong; Hyunjoon Ahn; Sungchul Choi; Jaeyoung Kim (ECCV Workshops (19), 2024)

Nonasymptotic CLT and Error Bounds for Two-Time-Scale Stochastic Approximation. - Seo Taek Kong; Sihan Zeng; Thinh T. Doan 001; R. Srikant 001 (CoRR, 2025)