Kyong Joon Lee
Kyong Joon Lee
Seoul National University Bundang Hospital
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Cited by
Cited by
Estimation of intrinsic image sequences from image+ depth video
KJ Lee, Q Zhao, X Tong, M Gong, S Izadi, SU Lee, P Tan, S Lin
European conference on computer vision, 327-340, 2012
Deep learning in diagnosis of maxillary sinusitis using conventional radiography
Y Kim, KJ Lee, L Sunwoo, D Choi, CM Nam, J Cho, J Kim, YJ Bae, ...
Investigative radiology 54 (1), 7-15, 2019
Nonrigid image registration using dynamic higher-order mrf model
D Kwon, K Lee, I Yun, S Lee
Computer Vision–ECCV 2008, 373-386, 2008
Optical flow estimation with adaptive convolution kernel prior on discrete framework
KJ Lee, D Kwon, ID Yun, SU Lee
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
Computer-aided detection of brain metastasis on 3D MR imaging: Observer performance study
L Sunwoo, YJ Kim, SH Choi, KG Kim, JH Kang, Y Kang, YJ Bae, RE Yoo, ...
PLoS One 12 (6), e0178265, 2017
Effects of hypertension, diabetes, and smoking on age and sex prediction from retinal fundus images
YD Kim, KJ Noh, SJ Byun, S Lee, T Kim, L Sunwoo, KJ Lee, SH Kang, ...
Scientific reports 10 (1), 1-14, 2020
Machine learning for detecting moyamoya disease in plain skull radiography using a convolutional neural network
T Kim, J Heo, DK Jang, L Sunwoo, J Kim, KJ Lee, SH Kang, SJ Park, ...
EBioMedicine 40, 636-642, 2019
Performance of a deep learning algorithm in detecting osteonecrosis of the femoral head on digital radiography: a comparison with assessments by radiologists
CG Chee, Y Kim, Y Kang, KJ Lee, HD Chae, J Cho, CM Nam, D Choi, ...
American Journal of Roentgenology 213 (1), 155-162, 2019
Deformable 3D Volume Registration Using Efficient MRFs Model with Decomposed Nodes.
KJ Lee, D Kwon, ID Yun, SU Lee
BMVC, 1-10, 2008
Lung nodule segmentation with convolutional neural network trained by simple diameter information
CM Nam, J Kim, KJ Lee
2018 International Conference on Medical Imaging with Deep Learning, 2018
Automatic image fusion of real-time ultrasound with computed tomography images: a prospective comparison between two auto-registration methods
DI Cha, MW Lee, AY Kim, TW Kang, YT Oh, JY Jeong, JW Chang, J Ryu, ...
Acta Radiologica, 2017
Automatic Registration between Real-Time Ultrasonography and Pre-Procedural Magnetic Resonance Images: A Prospective Comparison between Two Registration Methods by Liver …
AY Kim, MW Lee, DI Cha, HK Lim, YT Oh, JY Jeong, JW Chang, J Ryu, ...
Ultrasound in Medicine and Biology 42 (7), 1627-1636, 2016
Ruling out rotator cuff tear in shoulder radiograph series using deep learning: redefining the role of conventional radiograph
Y Kim, D Choi, KJ Lee, Y Kang, JM Ahn, E Lee, JW Lee, HS Kang
European Radiology 30 (5), 2843-2852, 2020
A Prospective Comparison between Auto-Registration and Manual Registration of Real-Time Ultrasound with MR Images for Percutaneous Ablation or Biopsy of Hepatic Lesions
DI Cha, MW Lee, KD Song, YT Oh, JY Jeong, JW Chang, J Ryu, KJ Lee, ...
Abdominal Radiology, 2017
Three-dimensional oil painting reconstruction with stroke based rendering
KJ Lee, DH Kim, ID Yun, SU Lee
The Visual Computer 23 (9), 873-880, 2007
Using a mobile device as an interface tool for hmd-based ar applications
KJ Lee, SC Ahn, HG Kim
Proceedings of the 2006 ACM SIGCHI international conference on Advances in …, 2006
Deep learning for diagnosis of paranasal sinusitis using multi-view radiographs
Y Jeon, K Lee, L Sunwoo, D Choi, DY Oh, KJ Lee, Y Kim, JW Kim, SJ Cho, ...
Diagnostics 11 (2), 250, 2021
Can additional patient information improve the diagnostic performance of deep learning for the interpretation of knee osteoarthritis severity
DH Kim, KJ Lee, D Choi, JI Lee, HG Choi, YS Lee
Journal of Clinical Medicine 9 (10), 3341, 2020
Pre-existing and machine learning-based models for cardiovascular risk prediction
SY Cho, SH Kim, SH Kang, KJ Lee, D Choi, S Kang, SJ Park, T Kim, ...
Scientific reports 11 (1), 1-10, 2021
Performance of deep learning to detect mastoiditis using multiple conventional radiographs of mastoid
KJ Lee, I Ryoo, D Choi, L Sunwoo, SH You, HN Jung
PloS one 15 (11), e0241796, 2020
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