Kyu-Hwan Jung

发表

Aggregation of cohorts for histopathological diagnosis with deep morphological analysis

Seo Taek Kong, Dong-Il Kim, Jeonghyuk Park, 2020, Scientific Reports.

False Positive Reduction by Actively Mining Negative Samples for Pulmonary Nodule Detection in Chest Radiographs pdf

Joon Beom Seo, Sejin Park, Namkug Kim, 2018, ArXiv.

Deep Learning for Medical Image Analysis: Applications to Computed Tomography and Magnetic Resonance Imaging

Kyu-Hwan Jung, Hyunho Park, Woochan Hwang, 2017 .

Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks

Sang Jun Park, Kyu-Hwan Jung, Jaemin Son, 2018, Journal of Digital Imaging.

Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease

Joon Beom Seo, Yeha Lee, Sanghoon Jun, 2018, Journal of Digital Imaging.

Development and Validation of Deep Learning-based Algorithms for the Estimation of Chronological Age using Panoramic Dental X-ray Images

Jaeyoung Kim, Woong Bae, Kyu-Hwan Jung, 2019 .

A Novel Learning Network for Option Pricing with Confidence Interval Information

Hyun-Chul Kim, Kyu-Hwan Jung, Jaewook Lee, 2006, ISNN.

Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation

Yeha Lee, Seungho Lee, Woong Bae, 2019, MICCAI.

Probabilistic generative ranking method based on multi-support vector domain description

Kyu-Hwan Jung, Jaewook Lee, Jaewook Lee, 2013, Inf. Sci..

A Novel Fundus Image Reading Tool for Efficient Generation of a Multi-dimensional Categorical Image Database for Machine Learning Algorithm Training

Sang Jun Park, Kyu-Hwan Jung, Joo Young Shin, 2018, Journal of Korean medical science.

A New Ensemble Model for Efficient Churn Prediction in Mobile Telecommunication

Yong Seog Kim, Kyu-Hwan Jung, Jaewook Lee, 2012, 2012 45th Hawaii International Conference on System Sciences.

Interactive Segmentation Mask Editing Tool with 3D Probabilistic U-net for Lung Nodule

Seungho Lee, Kyu-Hwan Jung, Minsuk Park, 2019 .

Integrating Reinforcement Learning to Self Training for Pulmonary Nodule Segmentation in Chest X-rays pdf

Sejin Park, Kyu-Hwan Jung, Woochan Hwang, 2018, ArXiv.

An Efficient and Comprehensive Labeling Tool for Large-Scale Annotation of Fundus Images

Sang Jun Park, Kyu-Hwan Jung, Jaemin Son, 2018, CVII-STENT/LABELS@MICCAI.

Fast support-based clustering method for large-scale problems

Daewon Lee, Kyu-Hwan Jung, Jaewook Lee, 2010, Pattern Recognit..

Classification of Findings with Localized Lesions in Fundoscopic Images Using a Regionally Guided CNN pdf

Sang Jun Park, Woong Bae, Kyu-Hwan Jung, 2018, COMPAY/OMIA@MICCAI.

Manifold Ordinal-Mixup for Ordered Classes in TW3-Based Bone Age Assessment

Seo Taek Kong, Kyu-Hwan Jung, Jaewon Lee, 2020, MICCAI.

DeNTNet: Deep Neural Transfer Network for the detection of periodontal bone loss using panoramic dental radiographs

Kyu-Hwan Jung, Jaeyoung Kim, Hong-Seok Lee, 2019, Scientific Reports.

Constructing Sparse Kernel Machines Using Attractors

Daewon Lee, Kyu-Hwan Jung, Jaewook Lee, 2009, IEEE Transactions on Neural Networks.

Approximate Sampling Method for Locally Linear Embedding

Hyun-Chul Kim, Kyu-Hwan Jung, Jaewook Lee, 2007, 2007 International Joint Conference on Neural Networks.

Prostate Cancer Segmentation using Manifold Mixup U-Net

Sejin Park, Kyu-Hwan Jung, Sung Il Hwang, 2019 .

Uniformly subsampled ensemble (USE) for churn management: Theory and implementation

Yong Seog Kim, Kyu-Hwan Jung, Jaewook Lee, 2012, Expert Syst. Appl..

Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks pdf

Sang Jun Park, Kyu-Hwan Jung, Jaemin Son, 2017, ArXiv.

Dynamic pattern denoising method using multi-basin system with kernels

Kyu-Hwan Jung, Jaewook Lee, Namhyoung Kim, 2011, Pattern Recognit..

Laterality Classification of Fundus Images Using Interpretable Deep Neural Network

Sang Jun Park, Kyu-Hwan Jung, Jaemin Son, 2018, Journal of Digital Imaging.

Leveraging the Generalization Ability of Deep Convolutional Neural Networks for Improving Classifiers for Color Fundus Photographs

Seo Taek Kong, Kyu-Hwan Jung, Jaemin Son, 2021 .

Relieving the Plateau: Active Semi-Supervised Learning for a Better Landscape pdf

Seo Taek Kong, Kyu-Hwan Jung, Soomin Jeon, 2021, ArXiv.

Residual CNN-based Image Super-Resolution for CT Slice Thickness Reduction using Paired CT Scans : Preliminary Validation Study

Hyunho Park, Kyu-Hwan Jung, Gwangbeen Park, 2018 .

Short-term Reproducibility of Pulmonary Nodule and Mass Detection in Chest Radiographs: Comparison among Radiologists and Four Different Computer-Aided Detections with Convolutional Neural Net

Joon Beom Seo, Namkug Kim, Kyu-Hwan Jung, 2019, Scientific Reports.

Development and Validation of Deep Learning Models for Screening Multiple Abnormal Findings in Retinal Fundus Images.

Sang Jun Park, Kyu-Hwan Jung, Joo Young Shin, 2020, Ophthalmology.

Semi-Supervised Reinforced Active Learning for Pulmonary Nodule Detection in Chest X-rays

Kyu-Hwan Jung, Woochan Hwang, Sejin Park, 2018 .