Soochahn Lee

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 28

Top Topics

Convolutional Neural Networks

Vessel Segmentation

Top Venues

Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging

Medical Image Anal.

Publications

Gun Lee, Subin An, Sungyong Baik, Soochahn Lee
CoAPT: Context Attribute words for Prompt Tuning. CoRR (2024)
Euyoung Kim, Soochahn Lee, Kyoung Mu Lee
Abnormality Detection in Chest X-Ray via Residual-Saliency From Normal Generation. IEEE Access 11 (2023)
Sojung Go, Younghoon Ji, Sang Jun Park, Soochahn Lee
Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models. CoRR (2023)
Gun Lee, Subin An, Byung-Jun Jang, Soochahn Lee
Deep Learning for Counting People from UWB Channel Impulse Response Signals. Sensors 23 (16) (2023)
Sojung Go, Jooyoung Kim, Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
Combined Deep Learning of Fundus Images and Fluorescein Angiography for Retinal Artery/Vein Classification. IEEE Access 10 (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)
Euyoung Kim, Soochahn Lee, Kyoung Mu Lee
Generative Residual Attention Network for Disease Detection. CoRR (2021)
Yongseok Mun, Jooyoung Kim, Kyoung Jin Noh, Soochahn Lee, Seok Kim, Soyoung Yi, Kyu Hyung Park, Sooyoung Yoo, Dong-Jin Chang, Sang Jun Park
An innovative strategy for standardized, structured, and interoperable results in ophthalmic examinations. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
Combining Fundus Images and Fluorescein Angiography for Artery/Vein Classification Using the Hierarchical Vessel Graph Network. MICCAI (5) (2020)
Sunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang
Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography. IEEE Access 8 (2020)
Kyoung Jin Noh, Jooyoung Kim, Sang Jun Park, Soochahn Lee
Multimodal Registration of Fundus Images With Fluorescein Angiography for Fine-Scale Vessel Segmentation. IEEE Access 8 (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)
Ho Yub Jung, Yong Seok Heo, Soochahn Lee
Fingerprint Liveness Detection by a Template-Probe Convolutional Neural Network. IEEE Access 7 (2019)
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
Scale-space approximated convolutional neural networks for retinal vessel segmentation. Comput. Methods Programs Biomed. 178 (2019)
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)
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
Fine-Scale Vessel Extraction in Fundus Images by Registration with Fluorescein Angiography. MICCAI (1) (2019)
Soochahn Lee, Changho Jeon, Leonard Sunwoo, Dong Yul Oh, Kyong Joon Lee
Phase-Based Nonrigid Deformation for Digital Subtraction Angiography. IEEE Access 7 (2019)
Sunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang
Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images. SASHIMI@MICCAI (2018)
Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee
Deep Vessel Segmentation By Learning Graphical Connectivity. CoRR (2018)
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation. CoRR (2018)
Taewoo Park, Soochahn Lee, Il Dong Yun
Nonrigid 2D registration of coronary artery angiograms with periodic displacement field. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018)
Yong Seok Heo, Soochahn Lee, Ho Yub Jung
Dual Exposure Fusion with Entropy-based Residual Filtering. KSII Trans. Internet Inf. Syst. 11 (5) (2017)
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)
Soochahn Lee, Se-Hoon Kim, Woo-Sung Shim
Adaptive Combination of Local Motion, Appearance, and Shape for Video Segmentation. Visual Information Processing and Communication (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)
Yong Seok Heo, Soochahn Lee, Ho Yub Jung
Consistent color and detail transfer from multiple source images for video and images. Vis. Comput. 32 (10) (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)
Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee
Structured patch model for a unified automatic and interactive segmentation framework. Medical Image Anal. 24 (1) (2015)
Ho Yub Jung, Soochahn Lee, Yong Seok Heo, Il Dong Yun
Random tree walk toward instantaneous 3D human pose estimation. CVPR (2015)
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)
Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee
Hierarchical MRF of globally consistent localized classifiers for 3D medical image segmentation. Pattern Recognit. 46 (9) (2013)
Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee
Automatic bone segmentation in knee MR images using a coarse-to-fine strategy. Medical Imaging: Image Processing (2012)
Soochahn Lee, Sang Hyun Park, Hackjoon Shim, Il Dong Yun, Sang Uk Lee
Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images. Comput. Vis. Image Underst. 115 (12) (2011)
Soochahn Lee, Il Dong Yun, Sang Uk Lee
Robust bilayer video segmentation by adaptive propagation of global shape and local appearance. J. Vis. Commun. Image Represent. 21 (7) (2010)
Sang Hyun Park, Soochahn Lee, Hackjoon Shim, Il Dong Yun, Sang Uk Lee, Kyoung Ho Lee, Heung Sik Kang, Joon Koo Han
Fully automatic 3-D segmentation of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI). ICIP (2009)
Hackjoon Shim, Soochahn Lee, Bohyeong Kim, Cheng Tao, Samuel Chang, Il Dong Yun, Sang Uk Lee, C. Kent Kwoh, Kyongtae Ty Bae
3-D segmentation of articular cartilages by graph cuts using knee MR images from osteoarthritis initiative. Medical Imaging: Image Processing (2008)
Soochahn Lee, Sehyuk Yoon, Il Dong Yun, Duck Hoon Kim, Kyoung Mu Lee, Sang Uk Lee
. ECCV (4) (2006)
Soochahn Lee, Duck Hoon Kim, Sang Uk Lee, Il Dong Yun
How CanWe Evaluate Object Recognition Algorithms Using a Public Object Image Database? CVPR Workshops (2005)