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Mass Detection from Mammography and Ultrasound Images
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Selected as an NRF Basic Research Laboratory
Published:
Our lab has been selected as a Basic Research Laboratory (BRL) by the National Research Foundation of Korea (NRF).
1 paper accepted to Interspeech 2026
Published:
Our collaborative research with the University of Wisconsin-Madison on active speaker detection has been accepted to Interspeech 2026. This is a substantially revised version of our earlier work, UniTalk, retitled to better reflect its focus on in-the-wild generalization and robustness.
Code released for SERVAL (Scientific Reports 2025 paper)
Published:
We have released an initial version of code for our Scientific Reports 2025 paper on interactive segmentation of vascular structures.
1 paper accepted to ICML 2026
Published:
Our collaborative research with the University of Wisconsin-Madison has been accepted to ICML 2026.
Code released for MICCAI 2025 paper
Published:
We have released the official code for our MICCAI 2025 paper on interactive segmentation of vascular structures.
1 paper accepted to CVPR Findings 2026
Published:
Our collaborative research with the University of Wisconsin-Madison on benchmarking multimodal LLMs has been accepted to CVPR Findings 2026.
Soochahn Lee to serve as MICCAI 2026 Area Chair
Published:
Soochahn Lee will be serving as an Area Chair for MICCAI 2026. In this role, he looks forward to evaluating the latest advancements in medical image computing and contributing to the success of the conference.
1 paper accepted to ICLR 2026
Published:
Our collaborative research with the University of Wisconsin-Madison has been accepted to ICLR 2026.
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2025 봄
2025 초여름
2024 CVPR
kccv2024
2024 여름 MT
2024 봄
2023 겨울 MT
2023 겨울 MT
2023 봄
2023 겨울 MT
2023 CVPR
2022 봄
2022 CVPR
portfolio
publications
How Can We Evaluate Object Recognition Algorithms Using a Public Object Image Database?
Soochahn Lee, Duck Hoon Kim, Sang Uk Lee, Il Dong Yun
A New 3-D Model Retrieval System Based on Aspect-Transition Descriptor.
Soochahn Lee, Sehyuk Yoon, Il Dong Yun, Duck Hoon Kim, Kyoung Mu Lee, Sang Uk Lee
3-D segmentation of articular cartilages by graph cuts using knee MR images from osteoarthritis initiative.
Hackjoon Shim, Soochahn Lee, Bohyeong Kim, Cheng Tao, Samuel Chang, Il Dong Yun, Sang Uk Lee, C. Kent Kwoh, Kyongtae Ty Bae
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
Robust bilayer video segmentation by adaptive propagation of global shape and local appearance.
Soochahn Lee, Il Dong Yun, Sang Uk Lee
Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images.
Soochahn Lee, Sang Hyun Park, Hackjoon Shim, Il Dong Yun, Sang Uk Lee
Automatic bone segmentation in knee MR images using a coarse-to-fine strategy.
Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee
Hierarchical MRF of globally consistent localized classifiers for 3D medical image segmentation.
Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee
Classification based micro-calcification detection using discriminative restricted Boltzmann machine in digitized mammograms.
Seung Yeon Shin, Soochahn Lee, Il Dong Yun
Structured patch model for a unified automatic and interactive segmentation framework.
Sang Hyun Park, Soochahn Lee, Il Dong Yun, Sang Uk Lee
Forest walk methods for localizing body joints from single depth image.
Ho Yub Jung, Soochahn Lee, Yong Seok Heo, Il Dong Yun
Consistent color and detail transfer from multiple source images for video and images.
Yong Seok Heo, Soochahn Lee, Ho Yub Jung
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
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
Adaptive combination of local motion, appearance, and shape for video segmentation.
Woo-Sung Shim, Se-Hoon Kim, Soochahn Lee
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
Dual exposure fusion with entropy-based residual filtering.
Yong Seok Heo, Soochahn Lee, Ho Yub Jung
Fine-scale vessel extraction in fundus images by registration with fluorescein angiography.
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
Fingerprint liveness detection by a template-probe convolutional neural network.
Ho Yub Jung, Yong Seok Heo, Soochahn Lee
Phase-based nonrigid deformation for digital subtraction angiography.
Soochahn Lee, Changho Jeon, Leonard Sunwoo, Dong Yul Oh, Kyong Joon Lee
Scale space approximation in convolutional neural networks for retinal vessel segmentation.
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
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
Deep vessel segmentation by learning graphical connectivity.
Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee
Combining fundus images and fluorescein angiography for artery/vein classification using the hierarchical vessel graph network.
Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
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
Multimodal registration of fundus images with fluorescein angiography for fine-scale vessel segmentation.
Kyoung Jin Noh, Jooyoung Kim, Sang Jun Park, Soochahn Lee
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
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
Topology-aware retinal artery–vein classification via deep vascular connectivity prediction.
Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Kyoung Mu Lee
Fully leveraging deep learning methods for constructing retinal fundus photomontages.
Jooyoung Kim, Sojung Go, Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
Combined deep learning of fundus images and fluorescein angiography for retinal artery/vein classification
Sojung Go, Jooyoung Kim, Kyoung Jin Noh, Sang Jun Park, Soochahn Lee
Abnormality detection in chest X-ray via residual-saliency from normal generation
Euyoung Kim, Soochahn Lee, Kyoung Mu Lee
A deep learning-based framework for retinal fundus image enhancement
Kang Geon Lee, Su Jeong Song, Soochahn Lee, Hyeong Gon Yu, Dong Ik Kim, Kyoung Mu Lee
Deep learning for counting people from UWB channel impulse response signals
Gun Lee, Subin An, Byung-Jun Jang, Soochahn Lee
Cycle consistent generative motion artifact correction in coronary computed tomography angiography
Amal Muhammad Saleem, Sunghee Jung, Hyuk-Jae Chang, Soochahn Lee
A novel vector field analysis for quantitative structure changes after macular epiretinal membrane surgery
Seok Hyun Bae, Sojung Go, Jooyoung Kim, Kyu Hyung Park, Soochahn Lee, Sang Jun Park
FQ-UWF: unpaired generative image enhancement for fundus quality ultra-widefield retinal images
Kang Geon Lee, Su Jeong Song, Soochahn Lee, Bo Hee Kim, Mingui Kong, Kyoung Mu Lee
Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models
Sojung Go, Younghoon Ji, Sang Jun Park, Soochahn Lee
Disentangled contrastive learning from synthetic matching pairs for targeted chest X-ray generation
Euyoung Kim, Soochahn Lee, Kyoung Mu Lee
Revisiting Active Speaker Detection: An In-the-Wild Benchmark for Generalization and Robustness
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
Active diffusion matching: score-based iterative alignment of cross-modal retinal images
Kang Geon Lee, Su Jeong Song, Soochahn Lee, and Kyoung Mu Lee
CoAPT: Context attribute words for prompt tuning
Gun Lee, Subin An, Sungyoung Baik, Soochahn Lee
Multimodal prompt sequence learning for interactive segmentation of vascular structures
Jongsoo Lim, Soochahn Lee
Auto-regressive transformation for image alignment
Kanggeon Lee, Soochahn Lee, Kyoung Mu Lee
Contamination Detection for VLMs using Multi-Modal Semantic Perturbation
Jaden Park, Mu Cai, Feng Yao, Jingbo Shang, Soochahn Lee, Yong Jae Lee
Improving retinal vessel assessment precision by integrating deep learning with interactive editing and graphical modeling
Sojung Go, Jaemin Chae, Uichan Kim, Jongsoo Lim, Jooyoung Kim, Sang Jun Park, Soochahn Lee
Particle Diffusion Matching: Random Walk Correspondence Search for the Alignment of Standard and Ultra-Widefield Fundus Images
Kang Geon Lee, Soochahn Lee, Kyoung Mu Lee
See, Hear, and Understand: Benchmarking Audiovisual Human Speech Understanding in Multimodal Large Language Models
Le Thien Phuc Nguyen, Zhuoran Yu, Samuel Low Yu Hang, Subin An, Jeongik Lee, Yohan Ban, SeungEun Chung, Thanh-Huy Nguyen, JuWan Maeng, Soochahn Lee, Yong Jae Lee