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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
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
1222012
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
772019
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), 4623, 2020
532020
Nonrigid image registration using dynamic higher-order mrf model
D Kwon, K Lee, I Yun, S Lee
Computer Vision–ECCV 2008, 373-386, 2008
402008
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
392017
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
362019
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
352010
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
322019
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), 8886, 2021
292021
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
222021
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, 2843-2852, 2020
202020
Deformable 3D Volume Registration Using Efficient MRFs Model with Decomposed Nodes.
KJ Lee, D Kwon, ID Yun, SU Lee
BMVC, 1-10, 2008
192008
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
182018
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
172020
Spider U-Net: Incorporating inter-slice connectivity using LSTM for 3D blood vessel segmentation
K Lee, L Sunwoo, T Kim, KJ Lee
Applied Sciences 11 (5), 2014, 2021
142021
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
132017
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
122017
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
122016
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
102019
Evaluating subscapularis tendon tears on axillary lateral radiographs using deep learning
Y Kang, D Choi, KJ Lee, JH Oh, BR Kim, JM Ahn
European Radiology 31 (12), 9408-9417, 2021
92021
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학술자료 1–20