- Seo-Hyeong Park, Nur Suriza Syazwany, Ju-Hyeon Nam, Sang-Chul Lee,
"Integrating multimodal contrastive learning with prototypical domain alignment for unsupervised domain adaptation of time series
," in Engineering Applications of Artificial Intelligence, Elsevier, Volume 137, Part B, November 2024, 109205 (https://www.sciencedirect.com/science/article/pii/S0952197624013630) (Impact Factor=7.5)
- Yu-Han Im, Seo-Hyeong Park and Sang-Chul Lee,
"HDA-Net: H&E and RGB Dual Attention Network for Nuclei Instance Segmentation,"
in IEEE Access, Vol. 12, 2024 (https://ieeexplore.ieee.org/document/10504830) (Impact Factor=3.9)
- Ju-Hyeon Nam and Sang-Chul Lee,
"FSDA: Frequency re-scaling in data augmentation for corruption-robust image classification,"
in Pattern Recognition, Elsevier, Vol. 150, 2024 (https://www.sciencedirect.com/science/article/pii/S0031320324000839) (Impact Factor=8.0)
- Yong-Soo Baek1, Soonil Kwon, Seng Chan You, Kwang-No Lee, Hee Tae Yu,
So-Ryoung Lee, Seung-Young Roh, Dong-Hyeok Kim, Seung Y. Shin, Dae-In Lee, Junbeom Park, Yae M. Park,
Young J. Suh, Eue-Keun Choi, Sang-Chul Lee, Boyoung Joung, Wonik Choi and Dae Hyeok Kim,
"Artificial intelligence-enhanced 12-lead electrocardiography for identifying atrial fibrillation
during sinus rhythm (AIAFib) trial: Protocol for a multicenter retrospective study"
in Frontiers in Cardiovascular Medicine, Frontiers, vol. 10, 2023
(https://www.frontiersin.org/articles/10.3389/fcvm.2023.1258167) (Impact Factor=3.6)
- Yong-Soo Baek, Yoonsu Jo, Sang-Chul Lee, Wonik Choi and Dae-Hyeok Kim,
"Artificial intelligence enhanced electrocardiography for early assessment of coronavirus disease
2019 severity," in Scientific Reports, 13, 15187, Nature publishing group, 2023
(https://www.nature.com/articles/s41598-023-42252-5) (Impact Factor=4.6)
- Seo-Hyeong Park, Nur Suriza Syazwany and Sang-Chul Lee,
"Meta-feature Fusion for Few-Shot Time Series Classification," in IEEE Access, vol. 11, 2023
(https://ieeexplore.ieee.org/document/10109015) (Impact Factor=3.9)
- Ju-Hyeon Nam and Sang-Chul Lee,
"Random image frequency aggregation dropout in image classification for deep convolutional neural networks,"
in Computer Vision and Image Understanding, Vol. 232, 2023 (https://www.sciencedirect.com/science/article/pii/S1077314223000644) (Impact Factor=4.5)
- Yerim Jung, Nur Suriza Syazwany, Sujeong Kim and Sang-Chul Lee,
"Fine-Grained Classification via Hierarchical Feature Covariance Attention Module," in IEEE Access, vol. 11, 2023
(https://ieeexplore.ieee.org/document/10097470) (Impact Factor=3.9)
- Yong-Soo Baek, Dong-Ho Lee, Yoonsu Jo, Sang-Chul Lee*, Wonik Choi and Dae-Hyeok Kim*,
"Artificial intelligence-estimated biological heart age using a 12-lead electrocardiogram predicts mortality and
cardiovascular outcomes." Frontiers in Cardiovascular Medicine, Frontiers, vol.10, 2023.
(https://www.frontiersin.org/articles/10.3389/fcvm.2023.1137892/full) (Impact Factor=3.6)
- A-Rom Gu, Ju-Hyeon Nam, Sang-Chul Lee, "
FBI-Net : Frequency-Based Image Forgery Localization via Multi-Task Learning with Self-Attention," in
IEEE Access, vol. 10, 2022. (https://ieeexplore.ieee.org/document/9793665) (Impact Factor=3.9)
- Nur Suriza Syazwany, Ju-Hyeon Nam and Sang-Chul Lee, "
MM-BiFPN: Multi-Modality Fusion Network with Bi-FPN for MRI Brain Tumor Segmentation," in IEEE Access,
vol. 9, 2021. (https://ieeexplore.ieee.org/document/9632555) (Impact Factor=3.9)
- Yong-Soo Baek, Sang-Chul Lee, Wonik Choi and
Dae-Hyeok Kim, "A new deep learning algorithm of 12-lead electrocardiogram
for identifying atrial fibrillation during sinus rhythm," in Scientific
Reports, 11, 12818, Nature publishing group, 2021 (https://doi.org/10.1038/s41598-021-92172-5)
- Hyun-Gyu Lee and Sang-Chul Lee,
"Morphological Multi-cell Discrimination for Robust Cell Segmentation,"
in IEEE Access, vol. 8, pp. 49837-49847, 2020. (Impact Factor=3.9)
- Hyun-Gyu Lee and Sang-Chul Lee,
"Cell segmentation for quantitative analysis of anodized TiO2 foil",
in IEEE Transactions on Industrial Informatics, 15(5), pp. 2828-2837, IEEE, 2019. (Impact Factor=12.3)
- Bo-Gyu Park, Hyun-Gyu Lee and Sang-Chul Lee,
"Demosaicking with adaptive reference range selection,"
Journal of Electronic Imaging, 28(1), 013021, IS&T, 2019.
- Hyun-Gyu Lee and Sang-Chul Lee,
"Improving performance of repetitive computer-based tasks through
visual stimuli tailored to the individual",
in Cognition, Technology & Work, vol. 20(1), pp. 153-161, Springer, 2018.
- Hyun-Gyu Lee and Sang-Chul Lee,
"Nucleus Segmentation Using Gaussian Mixture based Shape Models",
in IEEE Journal of Biomedical and Health Informatics, vol. 22(1),
pp. 235-243, IEEE, 2018.
- Min-Kook Choi, Ziyu Wang,
Hyun-Gyu Lee, and Sang-Chul Lee, "A bag-of-regions
representation for video classification", in Multimedia
Tools Applications, vol. 75(5), pp. 2453-2472, Springer,
2016.
- Hyun-Gyu Lee, Min-Kook Choi,
Sang-Chul Lee, "Grain-oriented Segmentation of Images of
Porous Structures Using Ray-casting and Curvature Energy
Minimization", in Journal of microscopy, vol. 257(2), pp.
92-103, Wiley, 2015.
- Min-Kook Choi, Joonseok Park, and
Sang-Chul Lee., " Event classification for vehicle
navigation system by regional optical flow analysis", in
Machine Vision and Applications, vol. 25(3) pp. 547-559.,
Springer, 2014.
- Jin-Hee Lee, Kyeongyul Kim,
Sang-Chul Lee, and Byeong-Seok Shin, “An Efficient
Localization Method Based on Adaptive Optimal Sensor
Placement,” in International Journal of Distributed
Sensor Networks, vol. 2014, Article ID 983618, 11 pages,
2014.
- Hyun-Gyu Lee, Min-Kook Choi,
Byeong-Seok Shin, Sang-Chul Lee, "Reducing redundancy in
wireless capsule endoscopy videos", in Computers in Biology
and Medicine, vol. 43(6), pp. 670-682, Elsevier, 2013
- Jaesik Choi, Ziyu Wang, Sang-Chul
Lee and Won J. Jeon, "A spatio-temporal pyramid matching
for video retrieval", in Computer Vision and Image
Understanding, vol. 117(6), pp.660-669, Elsevier, 2013
- Peter Bajcsy, Rob Kooper and
Sang-Chul Lee ,"Understanding Documentation and
Reconstruction Requirements for Computer-Assisted Decision
Processes", in Decision Support Systems, vol. 50,
pp.316-324, Elsevier, 2010.
- Sang-Chul Lee and Peter Bajcsy,
"Trajectory Fusion for Three-dimensional Volume
Reconstruction", in Computer Vision and Image
Understanding, vol. 110, pp. 19-31, Elsevier, 2008.
- Rob Kooper, Andrew Shirk,
Sang-Chul Lee, Amy Lin, Robert Folberg and Peter Bajcsy,
"3D Medical Volume Reconstruction Using Web Services", in
Computers in Biology and Medicine, vol. 38, pp. 490-500,
Elsevier, 2008
- Amy Y. Lin, Zhuming Ai, Sang-Chul
Lee, Peter Bajcsy, Jacob Pe’er, Lu Leach, Andrew J.
Maniotis, and Robert Folberg, "Comparing Vasculogenic
Mimicry with Endothelial Cell Lined Vessels: Techniques for
3D Reconstruction and Quantitative Analysis of Tissue
Components from Archival Paraffin Blocks", in Applied
Immunohistochemistry and Molecular Morphology, vol. 15(1),
pp. 113-119, Lippincott Willians and Wilkins, 2007.
- Sang-Chul Lee, Peter Bajcsy, Amy
Lin and Robert Folberg, "Accuracy Evaluation for Region
Centroid-Based Registration of Fluorescent CLSM Imagery",
in EURASIP JASP, Performance Evaluation in Image
Processing, Hindawi publishing, vol. 2006, article ID
82480, pp. 1-11.
- Peter Bajcsy, Sang-Chul Lee, Amy
Lin and Robert Folberg, "3D Volume Reconstruction of
Extracellular Matrix Proteins in Uveal Melanoma from
Fluorescent Confocal Laser Scanning Microscope Images",in
Journal of Microscopy, vol. 221(1), pp. 30-45, Blackwell
Synergy, 2006.
- Sang-Chul Lee and Peter Bajcsy,
"Intensity Correction of Fluorescent Confocal Laser
Scanning Microscope Images by Mean-Weight Filtering", in
Journal of Microscopy, vol. 221(2), pp. 122-136, Blackwell
Synergy, 2006.
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- Ju-Hyeon Nam, Seo-Hyeong Park, Su Jung Kim, and Sang-Chul Lee, "VizECGNet:
Visual ECG Image Network for Cardiovascular Diseases Classification with Multi-Modal Training and Knowledge Distillation", in IEEE
proceedings on International Conference on Image Processing
(ICIP2024), Abu Dhabi, United Arab Emirates, 2024
- Ju-Hyeon Nam, Nur Suriza Syazwany, Su Jung Kim and Sang-Chul Lee,
"Modality-agnostic Domain Generalizable Medical Image Segmentation by
Multi-Frequency in Multi-Scale Attention", in proceedings on
Computer Vision and Pattern Recognition (CVPR2024), Seattle, USA, 2024
- Ju-Hyeon Nam, Seo-Hyeong Park, Nur Suriza Syazwany, Yerim Jung, Yu-Han Im, and Sang-Chul Lee, "M3FPOLYPSEGNET:
Segmentation Network with Multi-frequency Feature Fusion for Polyp Localization
in Colonoscopy Images", in IEEE
proceedings on International Conference on Image Processing
(ICIP2023), Kuala Lumpur, Malaysia, 2023
- Yerim Jung, Nur Suriza Syazwany and Sang-Chul Lee, "Local
Feature Extraction from Salient Regions by Feature Map Transformation",
in Proc. of The 33rd British Machine Vision Conference (BMVC2022), London, UK, 2022
- Ju-Hyeon Nam and Sang-Chul Lee, "Frequency
Filtering for Data Augmentation in X-ray Image Classification", in IEEE
proceedings on International Conference on Image Processing
(ICIP2021), Alaska, USA, 2021
- Hyun-Gyu Lee, Adiba Orzikulova, Bo-Gyu Park
and Sang-Chul Lee, "Modeling Structural Dissimilarity based on Shape
Embodiment for Cell Segmentation", in IEEE
proceedings on International Conference on Image Processing
(ICIP2017), Beijing, China, 2017
- Min-Kook Choi, Hyun-Gyu Lee,
Minseok Song and Sang-Chul Lee, "Adaptive Bitrate Selection
for Video Encoding with Reduced Block Artifacts", in
proceedings of the ACM International Conference on
Multimedia (ACM Multimedia 2016), Amsterdam, The Netherland,
2016.
- Min-Kook Choi, Hyun-Gyu Lee and
Sang-Chul Lee, "Weighted SVM with Classification
Uncertainty for Small Training Samples", in IEEE
proceedings on International Conference on Image Processing
(ICIP2016), Pheonix, USA, 2016.
- Min-Kook Choi, Chan Joo, Hyun-Gyu
Lee and Sang-Chul Lee, "A Learning-based Approach to Image
Demosaicking with Spatial Autocorrelation Analysis" , in
IS&T International Symposium on Electronic Imaging,
Color Imaging XXI: Displaying, Processing, Hardcopy, and
Application, 2016.
- Hyun-Gyu Lee, Min-Kook Choi and
Sang-Chul Lee, "Grain-oriented segmentation of scanning
electron microscope images", IEEE proceedings on
International Conference on Image Processing (ICIP2013),
Melbourn, Austrailia, 2013
- Hyun-Gyu Lee, Min-Kook Choi and
Sang-Chul Lee, "Motion analysis for duplicate frame removal
in wireless capsule endoscope", Progress in Biomedical
Optics and Imaging - Proceedings of SPIE (SPIE MI 2011),
Orlando, USA, 2011
- Jaesik Choi, Won J. Jeon and
Sang-Chul Lee, "Spatio-Temporal Pyramid Matching for Sports
Videos", ACM International Conference on Multimedia
Information Retrieval (ACM MIR 2008), Vancouver, Canada,
2008.
- Sang-Chul Lee, Wiilam Mcfadden
and Peter Bajcsy, "Text, Image and Vector Graphics Based
Appraisal of Contemporary Documents", IEEE proceedings on
International Conference on Machine Learning and
Applications (ICMLA 08), San Diego, USA, 2008.
- Sang-Chul Lee and Peter Bajcsy,
"Understanding Challenges in Preserving and Reconstructing
Computer-Assited Medical Decision Process", The Sixth
International Conference on Machine Learning and
Applications (ICMLA '07), Cincinnati, USA, 2007.
- Sang-Chul Lee and Peter Bajcsy,
"Spatial Intensity Correction of Fluorescent Confocal Laser
Scanning Microscope Images", European Conference on
Computer Vision workshop on Computer Vision Approaches to
Medical Image Analysis (ECCV/CVAMIA 06), Graz, Austria,
2006, Lecture Notes in Computer Science, 4241, pp.143-154,
Springer, 2006.
- Sang-Chul Lee and Peter Bajcsy,
"Three-dimensional Volume Reconstruction Based on
Trajectory Fusion from Confocal Laser Scanning Microscope
Images", in Proc. of IEEE Conf. on Computer Vision and
Pattern Recognition (CVPR 2006), Vol 2, pp. 2221-2228, New
York, 2006.
- Sang-Chul Lee and Peter Bajcsy,
"Automated Feature-based Alignment for 3D Volume
Reconstruction of CLSM Imagery", SPIE International
Symposium in Medical Imaging,6144-105, San Diego, 2006.
- Peter Bajcsy, Sang-Chul Lee and
David Clutter, "Supporting Registration Decision during 3D
Medical Volume Reconstruction", SPIE International
Symposium in Medical Imaging,6144-119, San Diego, 2006.
- Rob Kooper, Andrew Shirk,
Sang-Chul Lee, Amy Lin, Robert Folberg and Peter Bajcsy,
"3D Medical Volume Reconstruction Using Web Services", in
Proc. of IEEE International Conference on Web Services
(ICWS 05), Orlando, 2005
- Sang-Chul Lee and Peter Bajcsy,
"Feature based Registration of Fluorescent LSCM Imagery",
in Proc. of SPIE International Symposium in Medical
Imaging, vol. 5747, pp. 170-181, San Diego, 2005.
- Sang-Chul Lee and David Kriegman,
"Omnidirectional Vision based Mapping by Free Region
Sweeping", in Proc. of IEEE Conference on Robotics,
Automation and Mechatronics, pp. 798-803, Singapore,
2004.
- Sang-Chul Lee and Peter Bajcsy,
"Multisensor Raster and Vector Data Fusion Based on
Uncertainty Modeling", in Proc. of IEEE Int. conf. on Image
Processing (ICIP 04), Singapore, 2004
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