| Deep vessel segmentation by learning graphical connectivity SY Shin, S Lee, ID Yun, KM Lee Medical image analysis 58, 101556, 2019 | 166 | 2019 |
| Joint weakly and semi-supervised deep learning for localization and classification of masses in breast ultrasound images SY Shin, S Lee, ID Yun, SM Kim, KM Lee IEEE transactions on medical imaging 38 (3), 762-774, 2018 | 116 | 2018 |
| Random tree walk toward instantaneous 3d human pose estimation H Yub Jung, S Lee, Y Seok Heo, I Dong Yun Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 115 | 2015 |
| Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images S Lee, SH Park, H Shim, ID Yun, SU Lee Computer Vision and Image Understanding 115 (12), 1710-1720, 2011 | 53 | 2011 |
| Scale-space approximated convolutional neural networks for retinal vessel segmentation KJ Noh, SJ Park, S Lee Computer methods and programs in biomedicine 178, 237-246, 2019 | 50 | 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 | 45 | 2020 |
| Fingerprint liveness detection by a template-probe convolutional neural network HY Jung, YS Heo, S Lee IEEE Access 7, 118986-118993, 2019 | 22 | 2019 |
| Hierarchical MRF of globally consistent localized classifiers for 3D medical image segmentation SH Park, S Lee, ID Yun, SU Lee Pattern Recognition 46 (9), 2408-2419, 2013 | 22 | 2013 |
| Extraction of coronary vessels in fluoroscopic X-ray sequences using vessel correspondence optimization SY Shin, S Lee, KJ Noh, ID Yun, KM Lee Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016 | 18 | 2016 |
| Deep learning cross-phase style transfer for motion artifact correction in coronary computed tomography angiography S Jung, S Lee, B Jeon, Y Jang, HJ Chang IEEE Access 8, 81849-81863, 2020 | 15 | 2020 |
| Classification based micro-calcification detection using discriminative restricted Boltzmann machine in digitized mammograms SY Shin, S Lee, ID Yun Medical Imaging 2014: Computer-Aided Diagnosis 9035, 415-420, 2014 | 15 | 2014 |
| A New 3-D Model Retrieval System Based on Aspect-Transition Descriptor S Lee, S Yoon, ID Yun, DH Kim, KM Lee, SU Lee Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006 | 13 | 2006 |
| A New 3-D Model Retrieval System Based on Aspect-Transition Descriptor S Lee, S Yoon, ID Yun, DH Kim, KM Lee, SU Lee Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006 | 13 | 2006 |
| Combining fundus images and fluorescein angiography for artery/vein classification using the hierarchical vessel graph network KJ Noh, SJ Park, S Lee Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 12 | 2020 |
| Robust bilayer video segmentation by adaptive propagation of global shape and local appearance S Lee, ID Yun, SU Lee Journal of Visual Communication and Image Representation 21 (7), 665-676, 2010 | 10 | 2010 |
| Fully automatic 3-D segmentation of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI) SH Park, S Lee, H Shim, ID Yun, SU Lee, KH Lee, HS Kang, JK Han 2009 16th IEEE International Conference on Image Processing (ICIP), 3381-3384, 2009 | 10 | 2009 |
| 3-d segmentation of articular cartilages by graph cuts using knee mr images from osteoarthritis initiative H Shim, S Lee, B Kim, C Tao, S Chang, ID Yun, SU Lee, K Kwoh, K Bae Medical Imaging 2008: Image Processing 6914, 1347-1355, 2008 | 9 | 2008 |
| Triplanar convolution with shared 2D kernels for 3D classification and shape retrieval EY Kim, SY Shin, S Lee, KJ Lee, KH Lee, KM Lee Computer Vision and Image Understanding 193, 102901, 2020 | 8 | 2020 |
| A novel cascade classifier for automatic microcalcification detection SY Shin, S Lee, ID Yun, HY Jung, YS Heo, SM Kim, KM Lee PloS one 10 (12), e0143725, 2015 | 8 | 2015 |
| 3-d segmentation of knee bones on mr images by constrained branch-and-mincut S Lee, H Shim, SH Park, ID Yun, SU Lee Program Committee• John Ashburner (University College London)• Sylvain Bouix …, 2009 | 8 | 2009 |
IL DONG YunHankuk University of Foreign StudiesVerified email at hufs.ac.kr
