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Jihye Yun, PhD
Jihye Yun, PhD
Department of Radiology, Asan Medical Center
Verified email at amc.seoul.kr - Homepage
Title
Cited by
Cited by
Year
Deep Learning in Medical Imaging
M Kim, J Yun, Y Cho, K Shin, R Jang, H Bae, N Kim
Neurospine 16 (4), 657, 2019
2752019
Federated learning enables big data for rare cancer boundary detection
S Pati, U Baid, B Edwards, M Sheller, SH Wang, GA Reina, P Foley, ...
Nature communications 13 (1), 7346, 2022
1192022
Deep learning applications in chest radiography and computed tomography: current state of the art
SM Lee, JB Seo, J Yun, YH Cho, J Vogel-Claussen, ML Schiebler, ...
Journal of thoracic imaging 34 (2), 75-85, 2019
1142019
Improvement of fully automated airway segmentation on volumetric computed tomographic images using a 2.5 dimensional convolutional neural net
J Yun, J Park, D Yu, J Yi, M Lee, HJ Park, JG Lee, JB Seo, N Kim
Medical image analysis 51, 13-20, 2019
1062019
Fully automated lung lobe segmentation in volumetric chest CT with 3D U-Net: validation with intra-and extra-datasets
J Park, J Yun, N Kim, B Park, Y Cho, HJ Park, M Song, M Lee, JB Seo
Journal of digital imaging 33, 221-230, 2020
982020
Radiomic features and multilayer perceptron network classifier: a robust MRI classification strategy for distinguishing glioblastoma from primary central nervous system lymphoma
J Yun, JE Park, H Lee, S Ham, N Kim, HS Kim
Scientific reports 9 (1), 5746, 2019
822019
Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT
J Choe, HJ Hwang, JB Seo, SM Lee, J Yun, MJ Kim, J Jeong, Y Lee, K Jin, ...
Radiology 302 (1), 187-197, 2022
722022
Fast high-quality volume ray casting with virtual samplings
B Lee, J Yun, J Seo, B Shim, YG Shin, B Kim
IEEE Transactions on visualization and computer graphics 16 (6), 1525-1532, 2010
462010
Oropharyngeal squamous cell carcinoma: radiomic machine-learning classifiers from multiparametric MR images for determination of HPV infection status
CH Suh, KH Lee, YJ Choi, SR Chung, JH Baek, JH Lee, J Yun, S Ham, ...
Scientific reports 10 (1), 17525, 2020
432020
Development of machine learning-based clinical decision support system for hepatocellular carcinoma
GH Choi, J Yun, J Choi, D Lee, JH Shim, HC Lee, YH Chung, YS Lee, ...
Scientific reports 10 (1), 14855, 2020
342020
Diffusion and perfusion MRI radiomics obtained from deep learning segmentation provides reproducible and comparable diagnostic model to human in post-treatment glioblastoma
JE Park, S Ham, HS Kim, SY Park, J Yun, H Lee, SH Choi, N Kim
European Radiology 31, 3127-3137, 2021
312021
Realistic High-Resolution Body Computed Tomography Image Synthesis by Using Progressive Growing Generative Adversarial Network: Visual Turing Test
HY Park, HJ Bae, GS Hong, M Kim, J Yun, S Park, WJ Chung, NK Kim
JMIR Medical Informatics 9 (3), e23328, 2021
252021
Deep radiomics-based survival prediction in patients with chronic obstructive pulmonary disease
J Yun, YH Cho, SM Lee, J Hwang, JS Lee, YM Oh, SD Lee, LC Loh, ...
Scientific reports 11 (1), 15144, 2021
182021
GazeVis: interactive 3D gaze visualization for contiguous cross-sectional medical images
H Song, J Yun, B Kim, J Seo
IEEE transactions on visualization and computer graphics 20 (5), 726-739, 2013
162013
Radiomics approach for survival prediction in chronic obstructive pulmonary disease
YH Cho, JB Seo, SM Lee, N Kim, J Yun, JE Hwang, JS Lee, YM Oh, ...
European radiology 31, 7316-7324, 2021
142021
Machine learning approach for differentiating cytomegalovirus esophagitis from herpes simplex virus esophagitis
JS Lee, J Yun, S Ham, H Park, H Lee, J Kim, JS Byeon, HY Jung, N Kim, ...
Scientific Reports 11 (1), 3672, 2021
112021
Interstitial lung abnormalities (ILA) on routine chest CT: Comparison of radiologists’ visual evaluation and automated quantification
MS Kim, J Choe, HJ Hwang, SM Lee, J Yun, N Kim, MS Ko, J Yi, D Yu, ...
European Journal of Radiology 157, 110564, 2022
102022
Deep learning–based approach to predict pulmonary function at chest CT
H Park, J Yun, SM Lee, HJ Hwang, JB Seo, YJ Jung, J Hwang, SH Lee, ...
Radiology 307 (2), e221488, 2023
82023
An Open Medical Platform to Share Source Code and Various Pre-Trained Weights for Models to Use in Deep Learning Research
S Kim, S Cho, K Cho, J Seo, Y Nam, J Park, K Kim, D Kim, J Hwang, J Yun, ...
Korean Journal of Radiology 22 (12), 2073, 2021
62021
Deep learning for automated triaging of stable chest radiographs in a follow-up setting
J Yun, Y Ahn, K Cho, SY Oh, SM Lee, N Kim, JB Seo
Radiology 309 (1), e230606, 2023
32023
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