Journal Publications

  • Ju-Hyeon Nam, 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)

  • 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, 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)

  • Yong-Soo Baek, Yoonsu Jo, Sang-Chul Lee, Wonik Choi, 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)

  • Seo-Hyeong Park, Nur Suriza Syazwany, Sang-Chul Lee, "Meta-feature Fusion for Few-Shot Time Series Classification," in IEEE Access, vol. 11, 2023 (https://ieeexplore.ieee.org/document/10109015)

  • Ju-Hyeon Nam, 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)

  • 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)

  • 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)

  • 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)

  • 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)

  • 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.

  • 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.

  • 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.

Conference Publications

  • 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 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

Book Chapters

  • Peter Bajcsy, Sang-Chul Lee, "Registration Decision during 3D Medical Volume Reconstruction from Confocal Laser Scanning Microscopy" in Modern Research and Educational Topics in Microscopy (2007 edition) , vol. 2, pp. 931-938, Formatex, 2007.

  • McFadden, W., R. Kooper, S. - C. Lee, and P. Bajcsy, "Comprehensive and Scalable Appraisals of Contemporary Documents", INTECH Open Access Publisher, 2010.