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Soochahn Lee
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Cited by
Year
Deep vessel segmentation by learning graphical connectivity
SY Shin, S Lee, ID Yun, KM Lee
Medical image analysis 58, 101556, 2019
2102019
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
1512018
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
1182015
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
612020
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
602019
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
542011
Fingerprint liveness detection by a template-probe convolutional neural network
HY Jung, YS Heo, S Lee
IEEE access 7, 118986-118993, 2019
262019
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
242013
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
222016
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
192020
Combining fundus images and fluorescein angiography for artery/vein classification using the hierarchical vessel graph network
KJ Noh, SJ Park, S Lee
International Conference on Medical Image Computing and Computer-Assisted …, 2020
162020
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
162014
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
132006
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
132006
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
122015
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
112008
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
102020
Multimodal registration of fundus images with fluorescein angiography for fine-scale vessel segmentation
KJ Noh, J Kim, SJ Park, S Lee
IEEE Access 8, 63757-63769, 2020
102020
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
102010
An innovative strategy for standardized, structured, and interoperable results in ophthalmic examinations
Y Mun, J Kim, KJ Noh, S Lee, S Kim, S Yi, KH Park, S Yoo, DJ Chang, ...
BMC Medical Informatics and Decision Making 21, 1-9, 2021
92021
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