Seung Yeon Shin

27 papers Journal 16Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	MOSInversion: Knowledge distillation-based incremental learning in organ segmentation using DeepInversion. Comput. Biol. Medicine Jihyeon Kim, Gyeongmin Lee, Seung Yeon Shin, Soopil Kim, Sanghyun Park
2025	J	`jnl`	Size-Controllable Tumor Synthesis for Improved Detection of Small Bowel Carcinoid Tumors in CT Scans. IEEE Access Seung Yeon Shin, Stephen A. Wank, Ronald M. Summers
2023	—	`conf`	Improved ascites segmentation with bladder identification using anatomical location residual U-Net. Computer-Aided Diagnosis Manas Kumar Nag, Jianfei Liu, Seung Yeon Shin, Benjamin Hou, Liangchen Liu, Perry J. Pickhardt, Jung-Min Lee, Ronald M. Summers
2023	J	`jnl`	Improving Segmentation and Detection of Lesions in CT Scans Using Intensity Distribution Supervision. CoRR Seung Yeon Shin, Thomas C. Shen, Ronald M. Summers
2023	J	`jnl`	Improving segmentation and detection of lesions in CT scans using intensity distribution supervision. Comput. Medical Imaging Graph. Seung Yeon Shin, Thomas C. Shen, Ronald M. Summers
2023	—	`conf`	Improving small lesion segmentation in CT scans using intensity distribution supervision: application to small bowel carcinoid tumor. Computer-Aided Diagnosis Seung Yeon Shin, Thomas C. Shen, Stephen A. Wank, Ronald M. Summers
2022	—	`conf`	A graph-theoretic algorithm for small bowel path tracking in CT scans. Computer-Aided Diagnosis Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
2022	—	`conf`	Deep Reinforcement Learning for Small Bowel Path Tracking Using Different Types of Annotations. MICCAI (5) Seung Yeon Shin, Ronald M. Summers
2022	J	`jnl`	Deep Reinforcement Learning for Small Bowel Path Tracking using Different Types of Annotations. CoRR Seung Yeon Shin, Ronald M. Summers
2022	J	`jnl`	Extraction of Coronary Vessels in Fluoroscopic X-Ray Sequences Using Vessel Correspondence Optimization. CoRR Seung Yeon Shin, Soochahn Lee, Kyoung Jin Noh, Il Dong Yun, Kyoung Mu Lee
2022	—	`conf`	Graph-Based Small Bowel Path Tracking with Cylindrical Constraints. ISBI Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
2022	J	`jnl`	Graph-Based Small Bowel Path Tracking with Cylindrical Constraints. CoRR Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
2022	—	`conf`	Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans. MMMI@MICCAI Liangchen Liu, Jianfei Liu, Manas Kumar Nag, Navid Hasani, Seung Yeon Shin, Sriram S. Paravastu, Babak Saboury, Jing Xiao, Lingyun Huang, Ronald M. Summers
2022	J	`jnl`	Improving Small Lesion Segmentation in CT Scans using Intensity Distribution Supervision: Application to Small Bowel Carcinoid Tumor. CoRR Seung Yeon Shin, Thomas C. Shen, Stephen A. Wank, Ronald M. Summers
2021	J	`jnl`	A Graph-theoretic Algorithm for Small Bowel Path Tracking in CT Scans. CoRR Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
2021	—	`conf`	Unsupervised Domain Adaptation for Small Bowel Segmentation Using Disentangled Representation. MICCAI (3) Seung Yeon Shin, Sungwon Lee, Ronald M. Summers
2020	—	`conf`	Deep Small Bowel Segmentation with Cylindrical Topological Constraints. MICCAI (4) Seung Yeon Shin, Sungwon Lee, Daniel C. Elton, James L. Gulley, Ronald M. Summers
2020	J	`jnl`	Deep Small Bowel Segmentation with Cylindrical Topological Constraints. CoRR Seung Yeon Shin, Sungwon Lee, Daniel C. Elton, James L. Gulley, Ronald M. Summers
2020	J	`jnl`	Triplanar convolution with shared 2D kernels for 3D classification and shape retrieval. Comput. Vis. Image Underst. Euyoung Kim, Seung Yeon Shin, Soochahn Lee, Kyong Joon Lee, Kyoung Ho Lee, Kyoung Mu Lee
2019	J	`jnl`	Deep vessel segmentation by learning graphical connectivity. Medical Image Anal. Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee
2019	J	`jnl`	Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images. IEEE Trans. Medical Imaging Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Sun Mi Kim, Kyoung Mu Lee
2018	J	`jnl`	Deep Vessel Segmentation By Learning Graphical Connectivity. CoRR Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee
2017	J	`jnl`	Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images. CoRR Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee
2017	—	`conf`	Nonrigid 2D registration of fluoroscopic coronary artery image sequence with propagated deformation field. Biomedical Applications in Molecular, Structural, and Functional Imaging Taewoo Park, Seung Yeon Shin, Youngtaek Hong, Soochahn Lee, Hyuk-Jae Chang, Il Dong Yun
2016	—	`conf`	Extraction of Coronary Vessels in Fluoroscopic X-Ray Sequences Using Vessel Correspondence Optimization. MICCAI (3) Seung Yeon Shin, Soochahn Lee, Kyoung Jin Noh, Il Dong Yun, Kyoung Mu Lee
2016	J	`jnl`	MouseNet v2: a database of gene networks for studying the laboratory mouse and eight other model vertebrates. Nucleic Acids Res. Eiru Kim, Sohyun Hwang, Hyojin Kim, Hongseok Shim, Byunghee Kang, Sunmo Yang, Jae Ho Shim, Seung Yeon Shin, Edward M. Marcotte, Insuk Lee
2014	—	`conf`	Classification based micro-calcification detection using discriminative restricted Boltzmann machine in digitized mammograms. Computer-Aided Diagnosis Seung Yeon Shin, Soochahn Lee, Il Dong Yun