Classification based micro-calcification detection using discriminative restricted Boltzmann machine in digitized mammograms. - Seung Yeon Shin; Soochahn Lee; Il Dong Yun (Computer-Aided Diagnosis, 2014)

Extraction of Coronary Vessels in Fluoroscopic X-Ray Sequences Using Vessel Correspondence Optimization. - Seung Yeon Shin; Soochahn Lee; Kyoung Jin Noh; Il Dong Yun; Kyoung Mu Lee (MICCAI (3), 2016)

MouseNet v2: a database of gene networks for studying the laboratory mouse and eight other model vertebrates. - Eiru Kim; Sohyun Hwang; Hyojin Kim 002; Hongseok Shim; Byunghee Kang; Sunmo Yang; Jae Ho Shim; Seung Yeon Shin; Edward M. Marcotte; Insuk Lee (Nucleic Acids Res., 2016)

Nonrigid 2D registration of fluoroscopic coronary artery image sequence with propagated deformation field. - Taewoo Park; Seung Yeon Shin; Youngtaek Hong; Soochahn Lee; Hyuk-Jae Chang; Il Dong Yun (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2017)

Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images. - Seung Yeon Shin; Soochahn Lee; Il Dong Yun; Kyoung Mu Lee (CoRR, 2017)

Deep vessel segmentation by learning graphical connectivity. - Seung Yeon Shin; Soochahn Lee; Il Dong Yun; Kyoung Mu Lee (Medical Image Anal., 2019)

Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images. - Seung Yeon Shin; Soochahn Lee; Il Dong Yun; Sun Mi Kim; Kyoung Mu Lee (IEEE Trans. Medical Imaging, 2019)

Deep Small Bowel Segmentation with Cylindrical Topological Constraints. - Seung Yeon Shin; Sungwon Lee 003; Daniel C. Elton; James L. Gulley; Ronald M. Summers (MICCAI (4), 2020)

Triplanar convolution with shared 2D kernels for 3D classification and shape retrieval. - Euyoung Kim; Seung Yeon Shin; Soochahn Lee; Kyong Joon Lee; Kyoung Ho Lee; Kyoung Mu Lee (Comput. Vis. Image Underst., 2020)

Unsupervised Domain Adaptation for Small Bowel Segmentation Using Disentangled Representation. - Seung Yeon Shin; Sungwon Lee 003; Ronald M. Summers (MICCAI (3), 2021)

Graph-Based Small Bowel Path Tracking with Cylindrical Constraints. - Seung Yeon Shin; Sungwon Lee 003; Ronald M. Summers (ISBI, 2022)

A graph-theoretic algorithm for small bowel path tracking in CT scans. - Seung Yeon Shin; Sungwon Lee 003; Ronald M. Summers (Computer-Aided Diagnosis, 2022)

Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans. - Liangchen Liu; Jianfei Liu; Manas Kumar Nag; Navid Hasani; Seung Yeon Shin; Sriram S. Paravastu; Babak Saboury; Jing Xiao 006; Lingyun Huang; Ronald M. Summers (MMMI@MICCAI, 2022)

Deep Reinforcement Learning for Small Bowel Path Tracking Using Different Types of Annotations. - Seung Yeon Shin; Ronald M. Summers (MICCAI (5), 2022)

Improved ascites segmentation with bladder identification using anatomical location residual U-Net. - Manas Kumar Nag; Jianfei Liu; Seung Yeon Shin; Benjamin Hou; Liangchen Liu; Perry J. Pickhardt; Jung-Min Lee; Ronald M. Summers (Computer-Aided Diagnosis, 2023)

Improving small lesion segmentation in CT scans using intensity distribution supervision: application to small bowel carcinoid tumor. - Seung Yeon Shin; Thomas C. Shen; Stephen A. Wank; Ronald M. Summers (Computer-Aided Diagnosis, 2023)

Improving segmentation and detection of lesions in CT scans using intensity distribution supervision. - Seung Yeon Shin; Thomas C. Shen; Ronald M. Summers (Comput. Medical Imaging Graph., 2023)

Size-Controllable Tumor Synthesis for Improved Detection of Small Bowel Carcinoid Tumors in CT Scans. - Seung Yeon Shin; Stephen A. Wank; Ronald M. Summers (IEEE Access, 2025)