Publication
2024
Cycle Consistent Generative Motion Artifact Correction in Coronary Computed Tomography Angiography
AM Saleem, S Jung, HJ Chang, S Lee
Applied Sciences 14 (5), 1859
[link]
Blind Deblur and motion blur kernel estimation by parallel diffusion models
Joowan Maeng, TaeHyun Kim, Soochahn Lee
IPIU(2024)
[code]
2023
Abnormality detection in chest X-Ray via residual-saliency from normal generation
E Kim, S Lee, KM Lee
IEEE Access 11, 21799-21810
[link]
A deep learning-based framework for retinal fundus image enhancement
KG Lee, SJ Song, S Lee, HG Yu, DI Kim, KM Lee
Plos one 18 (3), e0282416
[link]
Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models
S Go, Y Ji, SJ Park, S Lee
arXiv preprint arXiv:2305.06813
[link]
Deep Learning for Counting People from UWB Channel Impulse Response Signals
G Lee, S An, BJ Jang, S Lee
Sensors 23 (16), 7093
2022
Combined Deep Learning of Fundus Images and Fluorescein Angiography for Retinal Artery/Vein Classification
S Go, J Kim, KJ Noh, SJ Park, S Lee
IEEE Access 10, 70688-70698
[link]
2021
[j20] Fully Leveraging Deep Learning Methods for Constructing Retinal Fundus Photomontages.
Jooyoung Kim, Sojung Go, Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
Applied Sciences 11(4): 1754 (2021)
[link] [code]
[j19] Topology-Aware Retinal Artery–Vein Classification via Deep Vascular Connectivity Prediction.
Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee
Applied Sciences 11(1): 320 (2021)
[link]
2020
[c13] Combining Fundus Images and Fluorescein Angiography for Artery/Vein Classification Using the Hierarchical Vessel Graph Network.
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
In Proc. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 595-605 (2020)
[link] [pdf]
[j18] Deep Learning Cross-Phase Style Transfer for Motion Artifact Correction in Coronary Computed Tomography Angiography.
Sunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang
IEEE Access 8: 81849-81863 (2020)
[link]
[j17] Multimodal Registration of Fundus Images With Fluorescein Angiography for Fine-Scale Vessel Segmentation.
Kyoung Jin Noh, Jooyoung Kim, Sang Jun Park, Soochahn Lee
IEEE Access 8: 63757-63769 (2020)
[link]
[j16] Effects of Hypertension, Diabetes, and Smoking on Age and Sex Prediction from Retinal Fundus Images.
Yong Dae Kim, Kyoung Jin Noh, Seong Jun Byun, Soochahn Lee, Tackeun Kim, Leonard Sunwoo, Kyong Joon Lee, Si-Hyuck Kang, Kyu Hyung Park & Sang Jun Park
Scientific Reports 10: 4623 (2020)
[link]
[j15] Triplanar convolution with shared 2D kernels for 3D classification and shape retrieval.
Eu Young Kim, Seung Yeon Shin, Soochahn Lee, Kyong Joon Lee, Kyoung Ho Lee, Kyoung Mu Lee
Computer Vision and Image Understanding 193: 102901 (2020)
[link] [pdf]
2019
[c12] Fine-scale vessel extraction in fundus images by registration with fluorescein angiography.
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
In Proc. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) Book 1: 779-787 (2019)
[link] [pdf] [project page]
[j14] Deep vessel segmentation by learning graphical connectivity.
Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee
Medical Image Analysis 58: 101556 (2019)
[link] [pdf] [project page]
[j13] Scale space approximation in convolutional neural networks for retinal vessel segmentation.
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
Computer Methods and Programs in Biomedicine 178: 237-246 (2019)
[link] [pdf]
[j12] Fingerprint liveness detection by a template-probe convolutional neural network.
Ho Yub Jung, Yong Seok Heo, Soochahn Lee
IEEE Access 7: 118986-118993 (2019)
[link]
[j11] Phase-based nonrigid deformation for digital subtraction angiography.
Soochahn Lee, Changho Jeon, Leonard Sunwoo, Dong Yul Oh, Kyong Joon Lee
IEEE Access 7: 32256-32265 (2019)
[link]
[j10] 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. Med. Imaging 38(3): 762-774 (2019)
[link] [pdf] [project page]
2018
[c11] Periodic Displacement Field for Coronary Artery Vascular Nonrigid Registration in Cardiac Cine Sequence.
Taewoo Park, Soochahn Lee, Il Dong Yun
IEEJ Trans Elec Electron Eng, 13: 1835-1836
[link] [pdf]
[c10] Deep learning based coronary artery motion artifact compensation using style-transfer synthesis in CT images.
Sunghee Jung, Soochahn Lee, Byunghwan Jeon, Yeonggul Jang, Hyuk-Jae Chang
SASHIMI 2018: Simulation and Synthesis in Medical Imaging in conjunction with MICCAI 2018: 100-110
[link] [pdf]
2017
[j9] Dual exposure fusion with entropy-based residual filtering.
Yong Seok Heo, Soochahn Lee, Ho Yub Jung
KSII Transactions on Internet and Information Systems :TIIS 11(5): 2555-2575 (2017)
[link] [pdf]
[c9] 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
Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 101371W
[link]
2016
[j8] Adaptive combination of local motion, appearance, and shape for video segmentation.
Woo-Sung Shim, Se-Hoon Kim, Soochahn Lee
Journal of Imaging Science and Technology 60 (6), 60409-1-60409-7 (2016)
[link] [pdf]
[j7] Consistent color and detail transfer from multiple source images for video and images.
Yong Seok Heo, Soochahn Lee, Ho Yub Jung
The Visual Computer 32(10): 1273-1289 (2016)
[link] [pdf]
[c8] 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
In Proc. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Book 3: 308-316, 2016
[link] [pdf] [project page]
2015
[j6] A novel cascade classifier for automatic microcalcification detection.
Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Ho Yub Jung, Yong Seok Heo, Sun Mi Kim, Kyoung Mu Lee
PloS one 10 (12), e0143725 (2015)
[link]
[j5] Forest walk methods for localizing body joints from single depth image.
Ho Yub Jung, Soochahn Lee, Yong Seok Heo, Il Dong Yun
PloS one 10 (9), e0138328 (2015)
[link]
[j4] Structured patch model for a unified automatic and interactive segmentation framework.
Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee
Medical Image Analysis 24(1): 297-312 (2015)
[link] [pdf]
2014
[c7] Classification based micro-calcification detection using discriminative restricted Boltzmann machine in digitized mammograms.
Seung Yeon Shin, Soochahn Lee, Il Dong Yun
Medical Imaging: Computer-Aided Diagnosis 2014: 90351L
[link] [pdf]
[c6] Learning random forests for segmentation of person in self-portrait photos.
Soochahn Lee
The 18th IEEE International Symposium on Consumer Electronics (ISCE 2014)
[link] [pdf]
2009
Fully automatic 3-D segmentation of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI).
Sang Hyun Park, Soochahn Lee, Hackjoon Shim, Il Dong Yun, Sang Uk Lee, Kyoung Ho Lee, Heung Sik Kang, Joon Koo Han
International Conference on Image Processing (ICIP 2009): 3381-3384
[link] [pdf]