Kyu-Hwan Jung

36 papers A* 3A 1B 1Journal 20Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
A generalizable foundation model for intraoperative understanding across surgical procedures.
CoRR
Kanggil Park, Yongjun Jeon, Soyoung Lim, Seonmin Park, Jongmin Shin, Jung Yong Kim, Sehyeon An, Jinsoo Rhu, Jongman Kim, Gyu-Seong Choi, Namkee Oh, Kyu-Hwan Jung
2026 A* conf
AURA: Development and Validation of an Augmented Unplanned Removal Alert System Using Synthetic ICU Videos.
AAAI
Junhyuk Seo, Hyeyoon Moon, Kyu-Hwan Jung, Namkee Oh, Taerim Kim
2026 J jnl
CurConMix+: A Unified Spatio-Temporal Framework for Hierarchical Surgical Workflow Understanding.
CoRR
Yongjun Jeon, Jongmin Shin, Kanggil Park, Seonmin Park, Soyoung Lim, Jung Yong Kim, Jinsoo Rhu, Jongman Kim, Gyu-Seong Choi, Namkee Oh, Kyu-Hwan Jung
2025 J jnl
AURA: Development and Validation of an Augmented Unplanned Removal Alert System using Synthetic ICU Videos.
CoRR
Junhyuk Seo, Hyeyoon Moon, Kyu-Hwan Jung, Namkee Oh, Taerim Kim
2025 — conf
CurConMix: A Curriculum Contrastive Learning Framework for Enhancing Surgical Action Triplet Recognition.
MICCAI (9)
Yongjun Jeon, Jongmin Shin, Seonmin Park, Bogeun Kim, Kanggil Park, Namkee Oh, Kyu-Hwan Jung
2025 J jnl
Doppelganger Method: Breaking Role Consistency in LLM Agent via Prompt-based Transferable Adversarial Attack.
CoRR
Daewon Kang, YeongHwan Shin, Doyeon Kim, Kyu-Hwan Jung, Meong Hi Son
2025 — conf
SurGen-Net: A Generative Approach for Surgical VQA with Structured Text Generation.
ICCVW
Yongjun Jeon, Seonmin Park, Jongmin Shin, Kanggil Park, Bogeun Kim, Namkee Oh, Kyu-Hwan Jung
2023 A conf
Improving Out-of-Distribution Detection Performance using Synthetic Outlier Exposure Generated by Visual Foundation Models.
BMVC
Gitaek Kwon, Jaeyoung Kim, Hongjun Choi, Byung-Moo Yoon, Sungchul Choi, Kyu-Hwan Jung
2023 A* conf
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection.
AAAI
Jaeyoung Kim, Seo Taek Kong, Dongbin Na, Kyu-Hwan Jung
2023 J jnl
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection.
CoRR
Jaeyoung Kim, Seo Taek Kong, Dongbin Na, Kyu-Hwan Jung
2022 A* conf
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity.
NeurIPS
Seo Taek Kong, Soomin Jeon, Dongbin Na, Jaewon Lee, Hong-Seok Lee, Kyu-Hwan Jung
2022 — conf
Abstraction in Pixel-wise Noisy Annotations Can Guide Attention to Improve Prostate Cancer Grade Assessment.
MILLanD@MICCAI
Hyeongsub Kim, Seo Taek Kong, Hongseok Lee, Kyungdoc Kim, Kyu-Hwan Jung
2022 — conf
Augmenting Magnetic Resonance Imaging with Tabular Features for Enhanced and Interpretable Medial Temporal Lobe Atrophy Prediction.
MLCN@MICCAI
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
2022 J jnl
Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs.
J. Digit. Imaging
Minki Chung, Seo Taek Kong, BeomHee Park, Younjoon Chung, Kyu-Hwan Jung, Joon Beom Seo
2022 — conf
Volume is All You Need: Improving Multi-task Multiple Instance Learning for WMH Segmentation and Severity Estimation.
MLCN@MICCAI
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
2021 J jnl
Relieving the Plateau: Active Semi-Supervised Learning for a Better Landscape.
CoRR
Seo Taek Kong, Soomin Jeon, Jaewon Lee, Hongseok Lee, Kyu-Hwan Jung
2020 — conf
Manifold Ordinal-Mixup for Ordered Classes in TW3-Based Bone Age Assessment.
MICCAI (6)
Byeonguk Bae, Jaewon Lee, Seo Taek Kong, Jinkyeong Sung, Kyu-Hwan Jung
2019 — conf
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation.
MICCAI (2)
Woong Bae, Seungho Lee, Yeha Lee, BeomHee Park, Minki Chung, Kyu-Hwan Jung
2019 J jnl
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation.
CoRR
Woong Bae, Seungho Lee, Yeha Lee, BeomHee Park, Minki Chung, Kyu-Hwan Jung
2019 J jnl
Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks.
J. Digit. Imaging
Jaemin Son, Sang Jun Park, Kyu-Hwan Jung
2018 — conf
An Efficient and Comprehensive Labeling Tool for Large-Scale Annotation of Fundus Images.
CVII-STENT/LABELS@MICCAI
Jaemin Son, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung
2018 — conf
Classification of Findings with Localized Lesions in Fundoscopic Images Using a Regionally Guided CNN.
COMPAY/OMIA@MICCAI
Jaemin Son, Woong Bae, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung
2018 J jnl
Classification of Findings with Localized Lesions in Fundoscopic Images using a Regionally Guided CNN.
CoRR
Jaemin Son, Woong Bae, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung
2018 J jnl
Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease.
J. Digit. Imaging
Guk Bae Kim, Kyu-Hwan Jung, Yeha Lee, Hyun-Jun Kim, Namkug Kim, Sanghoon Jun, Joon Beom Seo, David A. Lynch
2018 J jnl
False Positive Reduction by Actively Mining Negative Samples for Pulmonary Nodule Detection in Chest Radiographs.
CoRR
Sejin Park, Woochan Hwang, Kyu-Hwan Jung, Joon Beom Seo, Namkug Kim
2018 J jnl
Integrating Reinforcement Learning to Self Training for Pulmonary Nodule Segmentation in Chest X-rays.
CoRR
Sejin Park, Woochan Hwang, Kyu-Hwan Jung
2018 J jnl
Laterality Classification of Fundus Images Using Interpretable Deep Neural Network.
J. Digit. Imaging
Yeonwoo Jang, Jaemin Son, Kyu Hyung Park, Sang Jun Park, Kyu-Hwan Jung
2017 J jnl
Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks.
CoRR
Jaemin Son, Sang Jun Park, Kyu-Hwan Jung
2013 J jnl
Probabilistic generative ranking method based on multi-support vector domain description.
Inf. Sci.
Kyu-Hwan Jung, Jaewook Lee
2012 — conf
A New Ensemble Model for Efficient Churn Prediction in Mobile Telecommunication.
HICSS
Namhyoung Kim, Jaewook Lee, Kyu-Hwan Jung, Yong Seog Kim
2012 J jnl
Uniformly subsampled ensemble (USE) for churn management: Theory and implementation.
Expert Syst. Appl.
Namhyoung Kim, Kyu-Hwan Jung, Yong Seog Kim, Jaewook Lee
2011 J jnl
Dynamic pattern denoising method using multi-basin system with kernels.
Pattern Recognit.
Kyu-Hwan Jung, Namhyoung Kim, Jaewook Lee
2010 J jnl
Fast support-based clustering method for large-scale problems.
Pattern Recognit.
Kyu-Hwan Jung, Daewon Lee, Jaewook Lee
2009 J jnl
Constructing Sparse Kernel Machines Using Attractors.
IEEE Trans. Neural Networks
Daewon Lee, Kyu-Hwan Jung, Jaewook Lee
2007 B conf
Approximate Sampling Method for Locally Linear Embedding.
IJCNN
Hyun-Chul Kim, Kyu-Hwan Jung, Jaewook Lee
2006 — conf
A Novel Learning Network for Option Pricing with Confidence Interval Information.
ISNN (2)
Kyu-Hwan Jung, Hyun-Chul Kim, Jaewook Lee