Seung Yeon Shin
Seung Yeon Shin
Verified email at
Cited by
Cited by
Deep vessel segmentation by learning graphical connectivity
SY Shin, S Lee, ID Yun, KM Lee
Medical image analysis 58, 101556, 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, 2019
Joint segmentation and classification of hepatic lesions in ultrasound images using deep learning
H Ryu, SY Shin, JY Lee, KM Lee, H Kang, J Yi
European Radiology, 1-10, 2021
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
Deep small bowel segmentation with cylindrical topological constraints
SY Shin, S Lee, D Elton, JL Gulley, RM Summers
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Unsupervised domain adaptation for small bowel segmentation using disentangled representation
SY Shin, S Lee, RM Summers
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Classification based micro-calcification detection using discriminative restricted boltzmann machine in digitized mammograms
SY Shin, S Lee, ID Yun
SPIE Medical Imaging 115, 151, 2014
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
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
Topology-Aware Retinal Artery–Vein Classification via Deep Vascular Connectivity Prediction
SY Shin, S Lee, ID Yun, KM Lee
Applied Sciences 11 (1), 320, 2021
Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans
L Liu, J Liu, MK Nag, N Hasani, SY Shin, SS Paravastu, B Saboury, J Xiao, ...
Multiscale Multimodal Medical Imaging: Third International Workshop, MMMI …, 2022
Body location embedded 3D U-Net (BLE-U-Net) for ovarian cancer ascites segmentation on CT scans
MK Nag, J Liu, L Liu, SY Shin, S Lee, JM Lee, RM Summers
18th International Symposium on Medical Information Processing and Analysis …, 2023
A graph-theoretic algorithm for small bowel path tracking in CT scans
SY Shin, S Lee, RM Summers
Medical Imaging 2022: Computer-Aided Diagnosis 12033, 863-868, 2022
Improving Small Lesion Segmentation in CT Scans using Intensity Distribution Supervision: Application to Small Bowel Carcinoid Tumor
SY Shin, TC Shen, SA Wank, RM Summers
Proceedings of SPIE--the International Society for Optical Engineering 12465, 2023
Graph-Based Small Bowel Path Tracking with Cylindrical Constraints
SY Shin, S Lee, RM Summers
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022
Improving segmentation and detection of lesions in CT scans using intensity distribution supervision
SY Shin, TC Shen, RM Summers
Computerized Medical Imaging and Graphics 108, 102259, 2023
Improved ascites segmentation with bladder identification using anatomical location residual U-Net
MK Nag, J Liu, SY Shin, B Hou, L Liu, PJ Pickhardt, JM Lee, RM Summers
Medical Imaging 2023: Computer-Aided Diagnosis 12465, 268-272, 2023
Deep Reinforcement Learning for Small Bowel Path Tracking Using Different Types of Annotations
SY Shin, RM Summers
Medical Image Computing and Computer Assisted Intervention–MICCAI 2022: 25th …, 2022
Nonrigid 2D registration of fluoroscopic coronary artery image sequence with propagated deformation field
T Park, SY Shin, Y Hong, S Lee, HJ Chang, ID Yun
SPIE Medical Imaging, 101371W-101371W-5, 2017
Fully-Automated detection of small bowel carcinoid tumors in CT scans using deep learning
SY Shin, TC Shen, SA Wank, RM Summers
Medical physics, 2023
The system can't perform the operation now. Try again later.
Articles 1–20