Soochahn Lee
Orcid: 0000-0002-2975-2519Affiliations:
- Soonchunhyang University, Korea
According to our database1,
Soochahn Lee
authored at least 38 papers
between 2005 and 2025.
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Bibliography
2025
Disentangled Contrastive Learning From Synthetic Matching Pairs for Targeted Chest X-Ray Generation.
IEEE Access, 2025
2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Sensors, August, 2023
IEEE Access, 2023
2022
Combined Deep Learning of Fundus Images and Fluorescein Angiography for Retinal Artery/Vein Classification.
IEEE Access, 2022
2021
An innovative strategy for standardized, structured, and interoperable results in ophthalmic examinations.
BMC Medical Informatics Decis. Mak., 2021
2020
Triplanar convolution with shared 2D kernels for 3D classification and shape retrieval.
Comput. Vis. Image Underst., 2020
Multimodal Registration of Fundus Images With Fluorescein Angiography for Fine-Scale Vessel Segmentation.
IEEE Access, 2020
Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography.
IEEE Access, 2020
Combining Fundus Images and Fluorescein Angiography for Artery/Vein Classification Using the Hierarchical Vessel Graph Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images.
IEEE Trans. Medical Imaging, 2019
Medical Image Anal., 2019
Scale-space approximated convolutional neural networks for retinal vessel segmentation.
Comput. Methods Programs Biomed., 2019
IEEE Access, 2019
IEEE Access, 2019
Fine-Scale Vessel Extraction in Fundus Images by Registration with Fluorescein Angiography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation.
CoRR, 2018
Deep Learning Based Coronary Artery Motion Artifact Compensation Using Style-Transfer Synthesis in CT Images.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2018
Nonrigid 2D registration of coronary artery angiograms with periodic displacement field.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
2017
KSII Trans. Internet Inf. Syst., 2017
Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images.
CoRR, 2017
Proceedings of the Visual Information Processing and Communication VIII, Burlingame, CA, USA, 29 January 2017, 2017
Nonrigid 2D registration of fluoroscopic coronary artery image sequence with propagated deformation field.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
2016
Consistent color and detail transfer from multiple source images for video and images.
Vis. Comput., 2016
Extraction of Coronary Vessels in Fluoroscopic X-Ray Sequences Using Vessel Correspondence Optimization.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
2015
Structured patch model for a unified automatic and interactive segmentation framework.
Medical Image Anal., 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
Classification based micro-calcification detection using discriminative restricted Boltzmann machine in digitized mammograms.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, San Diego, 2014
2013
Hierarchical MRF of globally consistent localized classifiers for 3D medical image segmentation.
Pattern Recognit., 2013
2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
2011
Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images.
Comput. Vis. Image Underst., 2011
2010
Robust bilayer video segmentation by adaptive propagation of global shape and local appearance.
J. Vis. Commun. Image Represent., 2010
2009
Fully automatic 3-D segmentation of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI).
Proceedings of the International Conference on Image Processing, 2009
2008
3-D segmentation of articular cartilages by graph cuts using knee MR images from osteoarthritis initiative.
Proceedings of the Medical Imaging 2008: Image Processing, 2008
2006
Proceedings of the Computer Vision, 2006
2005
How CanWe Evaluate Object Recognition Algorithms Using a Public Object Image Database?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005