Kyong Joon Lee
Kyong Joon Lee
Seoul National University Bundang Hospital
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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
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
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
Deformable 3D Volume Registration Using Efficient MRFs Model with Decomposed Nodes.
KJ Lee, D Kwon, ID Yun, SU Lee
BMVC, 1-10, 2008
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
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
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
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
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
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
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
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
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
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
Adaptive large window correlation for optical flow estimation with discrete optimization
KJ Lee, ID Yun, SU Lee
Image and Vision Computing 31 (9), 631-639, 2013
Solving MRFs with higher-order smoothness priors using hierarchical gradient nodes
D Kwon, KJ Lee, ID Yun, SU Lee
Asian Conference on Computer Vision, 121-134, 2010
Image processing apparatus, image processing method, and ultrasound imaging apparatus having image processing unit
KJ Lee, W Bang, Y Oh, RYU Jiwon, J Jeong
US Patent 10,755,453, 2020
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, 1-10, 2020
Longitudinal Change Detection on Chest X-rays using Geometric Correlation Maps
DY Oh, J Kim, KJ Lee
International Conference on Medical Image Computing and Computer Assisted …, 2019
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