Soochahn Lee

Orcid: 0000-0002-2975-2519

Affiliations:
  • Soonchunhyang University, Korea


According to our database1, Soochahn Lee authored at least 38 papers between 2005 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

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Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2025
Disentangled Contrastive Learning From Synthetic Matching Pairs for Targeted Chest X-Ray Generation.
IEEE Access, 2025

2024
CoAPT: Context Attribute words for Prompt Tuning.
CoRR, 2024

Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Deep Learning for Counting People from UWB Channel Impulse Response Signals.
Sensors, August, 2023

Abnormality Detection in Chest X-Ray via Residual-Saliency From Normal Generation.
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

Generative Residual Attention Network for Disease Detection.
CoRR, 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

Deep vessel segmentation by learning graphical connectivity.
Medical Image Anal., 2019

Scale-space approximated convolutional neural networks for retinal vessel segmentation.
Comput. Methods Programs Biomed., 2019

Phase-Based Nonrigid Deformation for Digital Subtraction Angiography.
IEEE Access, 2019

Fingerprint Liveness Detection by a Template-Probe Convolutional Neural Network.
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
Dual Exposure Fusion with Entropy-based Residual Filtering.
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

Adaptive Combination of Local Motion, Appearance, and Shape for Video Segmentation.
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

Random tree walk toward instantaneous 3D human pose estimation.
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
Automatic bone segmentation in knee MR images using a coarse-to-fine strategy.
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
A New 3-D Model Retrieval System Based on <i>Aspect-Transition Descriptor</i>.
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


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