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
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
Deformable 3D Volume Registration Using Efficient MRFs Model with Decomposed Nodes.
KJ Lee, D Kwon, ID Yun, SU Lee
BMVC, 1-10, 2008
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
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
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
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 (9-11), 873-880, 2007
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
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
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
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
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
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
Occlusion detecting window matching scheme for optical flow estimation with discrete optimization
KJ Lee, ID Yun
Pattern Recognition Letters 89, 73-80, 2017
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 App. 14/862,448, 2016
Rotation-invariant object categorization using bag-of-features with angular pyramid
B Kwon, S Kim, KJ Lee, ID Yun, SU Lee
Proceedings of the Korean Society of Broadcast Engineers Conference, 449-450, 2011
Medical imaging apparatus and method of operating same
J Ryu, J Kim, W Bang, Y Oh, K Lee, J Chang, J Jeong
US Patent 10,127,655, 2018
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