[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]

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

Generation of Structurally Realistic Retinal Fundus Images with Diffusion Models.

arXiv preprint arXiv:2305.06813 (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]