|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