[Arxiv] Le Thien Phuc Nguyen, Zhuoran Yu, Khoa Quang Nhat Cao, Yuwei Guo, Tu Ho Manh Pham, Tuan Tai Nguyen, Toan Ngo Duc Vo, Lucas Poon, Soochahn Lee, Yong Jae Lee

UniTalk: towards universal active speaker detection in real world scenarios.

arXiv preprint arXiv:2505.21954 (2025)

[link]

[Conference] Kanggeon Lee, Soochahn Lee, Kyoung Mu Lee

Auto-regressive transformation for image alignment.

IEEE/CVF International Conference on Computer Vision (ICCV), 2025

[link][pdf][poster]

[Conference] Jongsoo Lim, Soochahn Lee

Multimodal prompt sequence learning for interactive segmentation of vascular structures.

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025

[link][pdf]

[Journal] Kang Geon Lee, Su Jeong Song, Soochahn Lee, and Kyoung Mu Lee.

Active diffusion matching: score-based iterative alignment of cross-modal retinal images.

IEEE Transactions on Biomedical Engineering (2025)

[link]

[Journal] Sojung Go, Jaemin Chae, Uichan Kim, Jongsoo Lim, Jooyoung Kim, Sang Jun Park, Soochahn Lee

Improving retinal vessel assessment precision by integrating deep learning with interactive editing and graphical modeling.

Accepted to Scientific Reports (2025)

[link]

[Journal] Gun Lee, Subin An, Sungyoung Baik, Soochahn Lee

CoAPT: Context attribute words for prompt tuning.

Knowledge-Based Systems,Volume 320, 113653 (2025)

[link]

[Journal] Euyoung Kim, Soochahn Lee, Kyoung Mu Lee

Disentangled contrastive learning from synthetic matching pairs for targeted chest X-ray generation.

IEEE Access, vol. 13, pp. 15453-15468 (2025)

[link]

[Journal] Kang Geon Lee, Su Jeong Song, Soochahn Lee, Bo Hee Kim, Mingui Kong, Kyoung Mu Lee

FQ-UWF: unpaired generative image enhancement for fundus quality ultra-widefield retinal images.

Bioengineering, 11(6), 568 (2024)

[link]

[Journal] Seok Hyun Bae, Sojung Go, Jooyoung Kim, Kyu Hyung Park, Soochahn Lee, Sang Jun Park

A novel vector field analysis for quantitative structure changes after macular epiretinal membrane surgery.

Scientific Reports 14, 8242 (2024)

[link]

[Journal] Amal Muhammad Saleem, Sunghee Jung, Hyuk-Jae Chang, Soochahn Lee

Cycle consistent generative motion artifact correction in coronary computed tomography angiography.

Applied Sciences 14 (5), 1859 (2024)

[link]

[Conference] Sojung Go, Younghoon Ji, Sang Jun Park, Soochahn Lee

Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models.

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2024

[link][cvf]

[Journal] Gun Lee, Subin An, Byung-Jun Jang, Soochahn Lee

Deep Learning for Counting People from UWB Channel Impulse Response Signals.

Sensors 23(16), 7093 (2023)

[link]

[Journal] Kang Geon Lee, Su Jeong Song, Soochahn Lee, Hyeong Gon Yu, Dong Ik Kim, Kyoung Mu Lee

A Deep Learning-based Framework for Retinal Fundus Image Enhancement.

Plos one 18(3), e0282416 (2023)

[link]

[Journal] Euyoung Kim, Soochahn Lee, Kyoung Mu Lee

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

IEEE Access 11, 21799-21810 (2023)

[link]

[Journal] 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, 70688-70698 (2022)

[link]

[Arxiv] Euyoung Kim, Soochahn Lee, Kyoung Mu Lee:

Generative Residual Attention Network for Disease Detection. 

arXiv preprint arXiv:2110.12984 (2021)

[link]

[Domestic] 채재민, 이수찬:

Visual SLAM을 위한 Transformer 기반 6DoF 자세 추정 기법. 

전자공학회논문지, vol.58, no.12, pp. 49-56 (2021)

[link]

[j21] 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 and Decision Making 21: 9 (2021)

[link]

[j20] Jooyoung Kim, Sojung Go, Kyoung Jin Noh, Sang Jun Park, Soochahn Lee:

Fully Leveraging Deep Learning Methods for Constructing Retinal Fundus Photomontages. 

Applied Sciences 11(4): 1754 (2021)

[link][code]

[j19] Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee:

Topology-Aware Retinal Artery–Vein Classification via Deep Vascular Connectivity Prediction. 

Applied Sciences 11(1): 320 (2021)

[link]

[c13] Kyoung Jin Noh, Sang Jun Park, Soochahn Lee:

Combining Fundus Images and Fluorescein Angiography for Artery/Vein Classification Using the Hierarchical Vessel Graph Network. 

In Proc. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 595-605 (2020)

[link][pdf][presentation][slides][code]

[j18] 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: 81849-81863 (2020)

[link]

[j17] 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: 63757-63769 (2020)

[link][code]

[j16] 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:

Effects of Hypertension, Diabetes, and Smoking on Age and Sex Prediction from Retinal Fundus Images. 

Scientific Reports 10: 4623 (2020)

[link]

[j15] Eu Young 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. 

Computer Vision and Image Understanding 193: 102901 (2020)

[link] [pdf]

[c12] Kyoung Jin Noh, Sang Jun Park, Soochahn Lee:

Fine-scale vessel extraction in fundus images by registration with fluorescein angiography. 

In Proc. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) Book 1: 779-787 (2019)

[link] [pdf] [code]

[j14] Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee:

Deep vessel segmentation by learning graphical connectivity.

Medical Image Analysis 58: 101556  (2019)

[link] [pdf] [code]

[j13] Kyoung Jin Noh, Sang Jun Park, Soochahn Lee:

Scale space approximation in convolutional neural networks for retinal vessel segmentation. 

Computer Methods and Programs in Biomedicine 178: 237-246 (2019)

[link] [pdf]

[j12] Ho Yub Jung, Yong Seok Heo, Soochahn Lee:

Fingerprint liveness detection by a template-probe convolutional neural network.

IEEE Access 7: 118986-118993 (2019)

[link]

[j11] Soochahn Lee, Changho Jeon, Leonard Sunwoo, Dong Yul Oh, Kyong Joon Lee:

Phase-based nonrigid deformation for digital subtraction angiography. 

IEEE Access 7: 32256-32265 (2019)

[link]

[j10] 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. Med. Imaging 38(3): 762-774 (2019)

[link] [pdf] [project page]

[c11] Taewoo Park, Soochahn Lee, Il Dong Yun:

Periodic Displacement Field for Coronary Artery Vascular Nonrigid Registration in Cardiac Cine Sequence.

IEEJ Trans Elec Electron Eng, 13: 1835-1836

[link][pdf]

[c10] 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 2018: Simulation and Synthesis in Medical Imaging in conjunction with MICCAI 2018: 100-110

[link] [pdf]

[j9] Yong Seok Heo, Soochahn Lee, Ho Yub Jung:

Dual exposure fusion with entropy-based residual filtering. 

KSII Transactions on Internet and Information Systems :TIIS 11(5): 2555-2575 (2017)

[link][pdf]

[c9] 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: 101371W

[link]

[j8] Woo-Sung Shim, Se-Hoon Kim, Soochahn Lee

Adaptive combination of local motion, appearance, and shape for video segmentation.

Journal of Imaging Science and Technology 60 (6), 60409-1-60409-7 (2016)

[link][pdf]

[j7] Yong Seok Heo, Soochahn Lee, Ho Yub Jung:

Consistent color and detail transfer from multiple source images for video and images. 

The Visual Computer 32(10): 1273-1289 (2016)

[link] [pdf]

[c8] 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. 

In Proc. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Book 3: 308-316, 2016

[link] [pdf] [project page]

[j6] Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Ho Yub Jung, Yong Seok Heo, Sun Mi Kim, Kyoung Mu Lee:

A novel cascade classifier for automatic microcalcification detection.

PloS one 10 (12), e0143725 (2015)

[link]

[j5] Ho Yub Jung, Soochahn Lee, Yong Seok Heo, Il Dong Yun:

Forest walk methods for localizing body joints from single depth image.

PloS one 10 (9), e0138328 (2015)

[link]

[j4] Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee:

Structured patch model for a unified automatic and interactive segmentation framework. 

Medical Image Analysis 24(1): 297-312 (2015)

[link] [pdf]

[c7] 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: 90351L

[link][pdf]

[c6] Soochahn Lee

Learning random forests for segmentation of person in self-portrait photos.

The 18th IEEE International Symposium on Consumer Electronics (ISCE 2014)

[link][pdf]

[j3] Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee:

Hierarchical MRF of globally consistent localized classifiers for 3D medical image segmentation. 

Pattern Recognition 46(9): 2408-2419 (2013)

[link] [pdf]

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: 831405

[link][pdf]

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. 

Computer Vision and Image Understanding 115(12): 1710-1720 (2011)

[link] [pdf]

Soochahn Lee, Il Dong Yun, Sang Uk Lee:

Robust bilayer video segmentation by adaptive propagation of global shape and local appearance. 

J. Visual Communication and Image Representation 21(7): 665-676 (2010)

[link] [pdf]

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). 

International Conference on Image Processing (ICIP 2009): 3381-3384

[link] [pdf]

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: 691448

[link][pdf]

Soochahn Lee, Sehyuk Yoon, Il Dong Yun, Duck Hoon Kim, Kyoung Mu Lee, Sang Uk Lee:

A New 3-D Model Retrieval System Based on Aspect-Transition Descriptor. 

European Conference on Computer Vision (ECCV), (4) 2006: 543-554

[link] [pdf]

Soochahn Lee, Duck Hoon Kim, Sang Uk Lee, Il Dong Yun:

How Can We Evaluate Object Recognition Algorithms Using a Public Object Image Database? 

CVPR Workshops 2005: 37

[link][pdf]