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 | 360 | 2019 |
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 | 207 | 2020 |
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 | 198 | 2019 |
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 | 106 | 2020 |
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 | 104 | 2018 |
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 | 77 | 2020 |
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), 1431-1440, 2019 | 63 | 2019 |
Fast support-based clustering method for large-scale problems KH Jung, D Lee, J Lee Pattern Recognition 43 (5), 1975-1983, 2010 | 59 | 2010 |
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 | 55 | 2019 |
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 | 51 | 2021 |
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 | 51 | 2020 |
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 | 44 | 2019 |
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 | 38 | 2012 |
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), 674-683, 2022 | 34 | 2022 |
Constructing sparse kernel machines using attractors D Lee, KH Jung, J Lee IEEE transactions on neural networks 20 (4), 721-729, 2009 | 34 | 2009 |
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 | 32 | 2021 |
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 | 32 | 2017 |
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 | 25 | 2018 |
Dynamic pattern denoising method using multi-basin system with kernels KH Jung, N Kim, J Lee Pattern Recognition 44 (8), 1698-1707, 2011 | 24 | 2011 |
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 | 22 | 2019 |