Kyu-Hwan Jung

Orcid: 0000-0002-6626-6800

According to our database1, Kyu-Hwan Jung authored at least 26 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Improving Out-of-Distribution Detection Performance using Synthetic Outlier Exposure Generated by Visual Foundation Models.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Utilizing Synthetic Nodules for Improving Nodule Detection in Chest Radiographs.
J. Digit. Imaging, 2022

A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Augmenting Magnetic Resonance Imaging with Tabular Features for Enhanced and Interpretable Medial Temporal Lobe Atrophy Prediction.
Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

Abstraction in Pixel-wise Noisy Annotations Can Guide Attention to Improve Prostate Cancer Grade Assessment.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

Volume is All You Need: Improving Multi-task Multiple Instance Learning for WMH Segmentation and Severity Estimation.
Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

2021
Relieving the Plateau: Active Semi-Supervised Learning for a Better Landscape.
CoRR, 2021

2020
Manifold Ordinal-Mixup for Ordered Classes in TW3-Based Bone Age Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Towards Accurate Segmentation of Retinal Vessels and the Optic Disc in Fundoscopic Images with Generative Adversarial Networks.
J. Digit. Imaging, 2019

Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease.
J. Digit. Imaging, 2018

Laterality Classification of Fundus Images Using Interpretable Deep Neural Network.
J. Digit. Imaging, 2018

Integrating Reinforcement Learning to Self Training for Pulmonary Nodule Segmentation in Chest X-rays.
CoRR, 2018

False Positive Reduction by Actively Mining Negative Samples for Pulmonary Nodule Detection in Chest Radiographs.
CoRR, 2018

An Efficient and Comprehensive Labeling Tool for Large-Scale Annotation of Fundus Images.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

Classification of Findings with Localized Lesions in Fundoscopic Images Using a Regionally Guided CNN.
Proceedings of the Computational Pathology and Ophthalmic Medical Image Analysis, 2018

2017
Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks.
CoRR, 2017

2013
Probabilistic generative ranking method based on multi-support vector domain description.
Inf. Sci., 2013

2012
Uniformly subsampled ensemble (USE) for churn management: Theory and implementation.
Expert Syst. Appl., 2012

A New Ensemble Model for Efficient Churn Prediction in Mobile Telecommunication.
Proceedings of the 45th Hawaii International International Conference on Systems Science (HICSS-45 2012), 2012

2011
Dynamic pattern denoising method using multi-basin system with kernels.
Pattern Recognit., 2011

2010
Fast support-based clustering method for large-scale problems.
Pattern Recognit., 2010

2009
Constructing Sparse Kernel Machines Using Attractors.
IEEE Trans. Neural Networks, 2009

2007
Approximate Sampling Method for Locally Linear Embedding.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
A Novel Learning Network for Option Pricing with Confidence Interval Information.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006


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