Kyu-Hwan Jung

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 21

Top Topics

Multiple Instance

Nodule Detection

Top Venues

J. Digit. Imaging

COMPAY/OMIA@MICCAI

Publications

Gitaek Kwon, Jaeyoung Kim, Hong-Jun Choi, Byung-Moo Yoon, Sungchul Choi, Kyu-Hwan Jung
Improving Out-of-Distribution Detection Performance using Synthetic Outlier Exposure Generated by Visual Foundation Models. BMVC (2023)
Jaeyoung Kim, Seo Taek Kong, Dongbin Na, Kyu-Hwan Jung
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection. AAAI (2023)
Jaeyoung Kim, Seo Taek Kong, Dongbin Na, Kyu-Hwan Jung
Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection. CoRR (2023)
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)
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)
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) (2022)
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)
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)
Seo Taek Kong, Soomin Jeon, Jaewon Lee, Hongseok Lee, Kyu-Hwan Jung
Relieving the Plateau: Active Semi-Supervised Learning for a Better Landscape. CoRR (2021)
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)
Woong Bae, Seungho Lee, Yeha Lee, Beomhee Park, Minki Chung, Kyu-Hwan Jung
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation. CoRR (2019)
Jaemin Son, Sang Jun Park, Kyu-Hwan Jung
Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks. J. Digit. Imaging 32 (3) (2019)
Woong Bae, Seungho Lee, Yeha Lee, Beomhee Park, Minki Chung, Kyu-Hwan Jung
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation. MICCAI (2) (2019)
Jaemin Son, Woong Bae, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung
Classification of Findings with Localized Lesions in Fundoscopic Images using a Regionally Guided CNN. CoRR (2018)
Guk Bae Kim, Kyu-Hwan Jung, Yeha Lee, Hyun-Jun Kim, Namkug Kim, Sanghoon Jun, Joon Beom Seo, David A. Lynch
Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease. J. Digit. Imaging 31 (4) (2018)
Yeonwoo Jang, Jaemin Son, Kyu Hyung Park, Sang Jun Park, Kyu-Hwan Jung
Laterality Classification of Fundus Images Using Interpretable Deep Neural Network. J. Digit. Imaging 31 (6) (2018)
Sejin Park, Woochan Hwang, Kyu-Hwan Jung
Integrating Reinforcement Learning to Self Training for Pulmonary Nodule Segmentation in Chest X-rays. CoRR (2018)
Sejin Park, Woochan Hwang, Kyu-Hwan Jung, Joon Beom Seo, Namkug Kim
False Positive Reduction by Actively Mining Negative Samples for Pulmonary Nodule Detection in Chest Radiographs. CoRR (2018)
Jaemin Son, Woong Bae, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung
Classification of Findings with Localized Lesions in Fundoscopic Images Using a Regionally Guided CNN. COMPAY/OMIA@MICCAI (2018)
Jaemin Son, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung
An Efficient and Comprehensive Labeling Tool for Large-Scale Annotation of Fundus Images. CVII-STENT/LABELS@MICCAI (2018)
Jaemin Son, Sang Jun Park, Kyu-Hwan Jung
Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks. CoRR (2017)
Kyu-Hwan Jung, Jaewook Lee
Probabilistic generative ranking method based on multi-support vector domain description. Inf. Sci. 247 (2013)
Namhyoung Kim, Kyu-Hwan Jung, Yong Seog Kim, Jaewook Lee
Uniformly subsampled ensemble (USE) for churn management: Theory and implementation. Expert Syst. Appl. 39 (15) (2012)
Namhyoung Kim, Jaewook Lee, Kyu-Hwan Jung, Yong Seog Kim
A New Ensemble Model for Efficient Churn Prediction in Mobile Telecommunication. HICSS (2012)
Kyu-Hwan Jung, Namhyoung Kim, Jaewook Lee
Dynamic pattern denoising method using multi-basin system with kernels. Pattern Recognit. 44 (8) (2011)
Kyu-Hwan Jung, Daewon Lee, Jaewook Lee
Fast support-based clustering method for large-scale problems. Pattern Recognit. 43 (5) (2010)
Daewon Lee, Kyu-Hwan Jung, Jaewook Lee
Constructing Sparse Kernel Machines Using Attractors. IEEE Trans. Neural Networks 20 (4) (2009)
Hyun-Chul Kim, Kyu-Hwan Jung, Jaewook Lee
Approximate Sampling Method for Locally Linear Embedding. IJCNN (2007)
Kyu-Hwan Jung, Hyun-Chul Kim, Jaewook Lee
A Novel Learning Network for Option Pricing with Confidence Interval Information. ISNN (2) (2006)