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Soochahn Lee
Soochahn Lee
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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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