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 | 89 | 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 | 38 | 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 | 34 | 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 | 27 | 2019 |
Deformable 3D Volume Registration Using Efficient MRFs Model with Decomposed Nodes. KJ Lee, D Kwon, ID Yun, SU Lee BMVC, 1-10, 2008 | 19 | 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 | 17 | 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 | 13 | 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 | 11 | 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 | 10 | 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 | 10 | 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 | 9 | 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 | 8 | 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 | 7 | 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 | 7 | 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 | 6 | 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 | 5 | 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 | 5 | 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 | 4 | 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 | 4 | 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 | 4 | 2019 |