Seung Yeon Shin

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 24

Top Topics

Breast Ultrasound Images

Intensity Distribution

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

Seung Yeon Shin, Thomas C. Shen, Ronald M. Summers
Improving segmentation and detection of lesions in CT scans using intensity distribution supervision. Comput. Medical Imaging Graph. 108 (2023)
Seung Yeon Shin, Thomas C. Shen, Ronald M. Summers
Improving Segmentation and Detection of Lesions in CT Scans Using Intensity Distribution Supervision. CoRR (2023)
Seung Yeon Shin, Thomas C. Shen, Stephen A. Wank, Ronald M. Summers
Improving small lesion segmentation in CT scans using intensity distribution supervision: application to small bowel carcinoid tumor. Medical Imaging: Computer-Aided Diagnosis (2023)
Manas Kumar Nag, Jianfei Liu, Seung Yeon Shin, Benjamin Hou, Liangchen Liu, Perry J. Pickhardt, Jung-Min Lee, Ronald M. Summers
Improved ascites segmentation with bladder identification using anatomical location residual U-Net. Medical Imaging: Computer-Aided Diagnosis (2023)
Seung Yeon Shin, Thomas C. Shen, Stephen A. Wank, Ronald M. Summers
Improving Small Lesion Segmentation in CT Scans using Intensity Distribution Supervision: Application to Small Bowel Carcinoid Tumor. CoRR (2022)
Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
Graph-Based Small Bowel Path Tracking with Cylindrical Constraints. ISBI (2022)
Seung Yeon Shin, Ronald M. Summers
Deep Reinforcement Learning for Small Bowel Path Tracking Using Different Types of Annotations. MICCAI (5) (2022)
Seung Yeon Shin, Ronald M. Summers
Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations. CoRR (2022)
Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
Graph-Based Small Bowel Path Tracking with Cylindrical Constraints. CoRR (2022)
Liangchen Liu, Jianfei Liu, Manas Kumar Nag, Navid Hasani, Seung Yeon Shin, Sriram S. Paravastu, Babak Saboury, Jing Xiao, Lingyun Huang, Ronald M. Summers
Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans. MMMI@MICCAI (2022)
Seung Yeon Shin, Soochahn Lee, Kyoung Jin Noh, Il Dong Yun, Kyoung Mu Lee
Extraction of Coronary Vessels in Fluoroscopic X-Ray Sequences Using Vessel Correspondence Optimization. CoRR (2022)
Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
A graph-theoretic algorithm for small bowel path tracking in CT scans. Medical Imaging: Computer-Aided Diagnosis (2022)
Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
Unsupervised Domain Adaptation for Small Bowel Segmentation Using Disentangled Representation. MICCAI (3) (2021)
Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
A Graph-theoretic Algorithm for Small Bowel Path Tracking in CT Scans. CoRR (2021)
Seung Yeon Shin, Sungwon Lee, Daniel C. Elton, James L. Gulley, Ronald M. Summers
Deep Small Bowel Segmentation with Cylindrical Topological Constraints. MICCAI (4) (2020)
Seung Yeon Shin, Sungwon Lee, Daniel C. Elton, James L. Gulley, Ronald M. Summers
Deep Small Bowel Segmentation with Cylindrical Topological Constraints. CoRR (2020)
Euyoung Kim, Seung Yeon Shin, Soochahn Lee, Kyong Joon Lee, Kyoung Ho Lee, Kyoung Mu Lee
Triplanar convolution with shared 2D kernels for 3D classification and shape retrieval. Comput. Vis. Image Underst. 193 (2020)
Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Sun Mi Kim, Kyoung Mu Lee
Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images. IEEE Trans. Medical Imaging 38 (3) (2019)
Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee
Deep vessel segmentation by learning graphical connectivity. Medical Image Anal. 58 (2019)
Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee
Deep Vessel Segmentation By Learning Graphical Connectivity. CoRR (2018)
Taewoo Park, Seung Yeon Shin, Youngtaek Hong, Soochahn Lee, Hyuk-Jae Chang, Il Dong Yun
Nonrigid 2D registration of fluoroscopic coronary artery image sequence with propagated deformation field. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2017)
Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee
Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images. CoRR (2017)
Eiru Kim, Sohyun Hwang, Hyojin Kim, Hongseok Shim, Byunghee Kang, Sunmo Yang, Jae Ho Shim, Seung Yeon Shin, Edward M. Marcotte, Insuk Lee
MouseNet v2: a database of gene networks for studying the laboratory mouse and eight other model vertebrates. Nucleic Acids Res. 44 (Database-Issue) (2016)
Seung Yeon Shin, Soochahn Lee, Kyoung Jin Noh, Il Dong Yun, Kyoung Mu Lee
Extraction of Coronary Vessels in Fluoroscopic X-Ray Sequences Using Vessel Correspondence Optimization. MICCAI (3) (2016)
Seung Yeon Shin, Soochahn Lee, Il Dong Yun
Classification based micro-calcification detection using discriminative restricted Boltzmann machine in digitized mammograms. Medical Imaging: Computer-Aided Diagnosis (2014)