| 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 | 124 | 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 | 90 | 2019 |
| 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 | 61 | 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), 8886, 2021 | 51 | 2021 |
| 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 | 45 | 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 | 42 | 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 | 41 | 2008 |
| 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 | 37 | 2019 |
| 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 | 36 | 2010 |
| 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 | 27 | 2020 |
| 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 | 26 | 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 | 23 | 2020 |
| 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 | 22 | 2021 |
| 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 | 20 | 2018 |
| 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 |
| 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 | 14 | 2021 |
| 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 | 14 | 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 | 13 | 2017 |
| 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 | 13 | 2017 |
| 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 | 12 | 2019 |
Dongjin KwonGoogleDirección de correo verificada de google.com
