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Kyu-Hwan Jung
Kyu-Hwan Jung
Other namesKyuhwan Jung
Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University
Verified email at skku.edu - Homepage
Title
Cited by
Cited by
Year
Towards accurate segmentation of retinal vessels and the optic disc in fundoscopic images with generative adversarial networks
J Son, SJ Park, KH Jung
Journal of digital imaging 32 (3), 499-512, 2019
3472019
Development and validation of deep learning models for screening multiple abnormal findings in retinal fundus images
J Son, JY Shin, HD Kim, KH Jung, KH Park, SJ Park
Ophthalmology 127 (1), 85-94, 2020
1942020
DeNTNet: Deep Neural Transfer Network for the detection of periodontal bone loss using panoramic dental radiographs
J Kim, HS Lee, IS Song, KH Jung
Scientific reports 9 (1), 17615, 2019
1712019
Comparison of shallow and deep learning methods on classifying the regional pattern of diffuse lung disease
GB Kim, KH Jung, Y Lee, HJ Kim, N Kim, S Jun, JB Seo, DA Lynch
Journal of digital imaging 31, 415-424, 2018
972018
Artificial intelligence in health care: Current applications and issues
CW Park, SW Seo, N Kang, BS Ko, BW Choi, CM Park, DK Chang, H Kim, ...
Journal of Korean medical science 35 (42), 2020
822020
Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings
S Park, SM Lee, KH Lee, KH Jung, W Bae, J Choe, JB Seo
European radiology 30, 1359-1368, 2020
712020
Deep learning algorithm for reducing CT slice thickness: effect on reproducibility of radiomic features in lung cancer
S Park, SM Lee, KH Do, JG Lee, W Bae, H Park, KH Jung, JB Seo
Korean journal of radiology 20 (10), 1431, 2019
622019
Fast support-based clustering method for large-scale problems
KH Jung, D Lee, J Lee
Pattern Recognition 43 (5), 1975-1983, 2010
582010
Resource optimized neural architecture search for 3D medical image segmentation
W Bae, S Lee, Y Lee, B Park, M Chung, KH Jung
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
522019
Added value of deep learning–based detection system for multiple major findings on chest radiographs: a randomized crossover study
J Sung, S Park, SM Lee, W Bae, B Park, E Jung, JB Seo, KH Jung
Radiology 299 (2), 450-459, 2021
492021
Predicting high coronary artery calcium score from retinal fundus images with deep learning algorithms
J Son, JY Shin, EJ Chun, KH Jung, KH Park, SJ Park
Translational Vision Science & Technology 9 (2), 28-28, 2020
482020
Uniformly subsampled ensemble (USE) for churn management: Theory and implementation
N Kim, KH Jung, YS Kim, J Lee
Expert Systems with Applications 39 (15), 11839-11845, 2012
372012
Method and program for computing bone age by deep neural network
WH Shim, JS Lee, YS Sung, HM Yoon, JH Baek, SK Kim, HJ Kim, YH Lee, ...
US Patent 10,242,293, 2019
352019
Constructing sparse kernel machines using attractors
D Lee, KH Jung, J Lee
IEEE transactions on neural networks 20 (4), 721-729, 2009
342009
A prospective validation and observer performance study of a deep learning algorithm for pathologic diagnosis of gastric tumors in endoscopic biopsies
J Park, BG Jang, YW Kim, H Park, B Kim, MJ Kim, H Ko, JM Gwak, EJ Lee, ...
Clinical Cancer Research 27 (3), 719-728, 2021
302021
Deep learning for medical image analysis: Applications to computed tomography and magnetic resonance imaging
KH Jung, H Park, W Hwang
Hanyang Medical Reviews 37 (2), 61-70, 2017
292017
Development of a spine X-ray-based fracture prediction model using a deep learning algorithm
SH Kong, JW Lee, BU Bae, JK Sung, KH Jung, JH Kim, CS Shin
Endocrinology and Metabolism 37 (4), 674, 2022
252022
Dynamic pattern denoising method using multi-basin system with kernels
KH Jung, N Kim, J Lee
Pattern Recognition 44 (8), 1698-1707, 2011
242011
Laterality classification of fundus images using interpretable deep neural network
Y Jang, J Son, KH Park, SJ Park, KH Jung
Journal of digital imaging 31, 923-928, 2018
232018
Short-term reproducibility of pulmonary nodule and mass detection in chest radiographs: comparison among radiologists and four different computer-aided detections with …
YG Kim, Y Cho, CJ Wu, S Park, KH Jung, JB Seo, HJ Lee, HJ Hwang, ...
Scientific Reports 9 (1), 18738, 2019
212019
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