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Kyong Joon Lee
Kyong Joon Lee
Seoul National University Bundang Hospital
Verified email at snubh.org
Title
Cited by
Cited by
Year
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
1242012
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
962019
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
642020
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
572021
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
482017
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
452019
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
412019
Nonrigid image registration using dynamic higher-order mrf model
D Kwon, K Lee, I Yun, S Lee
Computer Vision–ECCV 2008, 373-386, 2008
412008
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
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
292021
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
282020
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
262020
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
252021
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
202018
Deformable 3D Volume Registration Using Efficient MRFs Model with Decomposed Nodes.
KJ Lee, D Kwon, ID Yun, SU Lee
BMVC, 1-10, 2008
192008
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
152021
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
142016
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
132019
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
132017
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Articles 1–20