“Accessing deep learning accuracy in the measurement of radiographic parameters in pediatric hip X-rays,” under revision.
“TransSkip: Leveraging Transformer-based Attention Mechanisms for Multi-Scale Feature Fusion,” under revision.
“Shadow Feature Refinement Network (SFR-Net): Progressive Feature Refinement based on Knowledge Distillation for Effective Shadow Removal,” under review.
Won-Jun Noh, Ki-Ryum Moon, and Byoung-Dai Lee “SMS-Net: Bridging the gap between high accuracy and low computational cost in pose estimation,” Applied Sciences, 14(22), 2024..
Khadija Azhar, Byoung-Dai Lee, Shi Sub Byon, Kyu Ran Cho, and Sung Eun Song, “AI-Powered Synthesis of Structured Multimodal Breast Ultra-sound
Reports Integrating Radiologist Annotations and Deep Learning Analysis,” Bioengineering, 11(9), 2024.
Won-Jun Noh, Mu Sook Lee, and Byoung-Dai Lee, “Deep learning-based automated angle measurement for flatfoot diagnosis in weight-bearing lateral radiographs,” Scientific Reports, 14(18411), 2024.
Ki-Ryum Moon, Shi Sub Byon, Sung Hyun Kim, and Byoung-Dai Lee, “Automated Assessment of Pelvic Radiographs Using Deep Learning: A Reliable Diagnostic Tool for Pelvic Malalignment,” Heliyon, 10(8), 2024.
Sun-Woo Pi, Byoung-Dai Lee, Mu Sook Lee, and Hae Jeong Lee, “Ensemble Deep Learning Networks for Automatic Grading of Osteoarthritis in X-Ray Images of Knees,” Scientific Reports, 13(22887), 2023.
Rabeea Fatma Khan, Byoung-Dai Lee, and Mu Sook Lee, “Transformers in Medical Image Segmentation: a Narrative Review,” Quantitative Imaging in Medicine and Surgery, 13(12), 2023.
Ki-Ryum Moon, Byoung-Dai Lee, and Mu Sook Lee, “A Deep Learning Approach for Fully Automated Measurements of Lower Extremity Alignment on Radiographic Images,” 13(14692), Scientific Reports, 2023.
Minki Kim, Ki-Ryum Moon, and Byoung-Dai Lee, “Unsupervised Anomaly Detection for Posteroanterior Chest X-Rays Using Multiresolution Patch-Based Self-Supervised Learning,” Scientific Reports, 13(3415), 2023.
Yehoon Jang, Namgi Kim, and Byoung-Dai Lee, “Flow Classification using Distributions of Latent Features in Software Defined Networks: An Experimental Evaluation,” Engineering Applications in Artificial Intelligence, 119, 2023.
Sunwon Kang, Juwan Kim, In Sung Jang, and Byoung-Dai Lee, “C2ShadowGAN: Cycle-in-Cycle Generative Adversarial Network for Shadow Removal Using Unpaired Data,” Applied Intelligence, 53, 2023.
Muhammad Usman, Azka Rehman, Amal Muhammad Saleem, Rabeea Jawaid, Shi-Sub Byon, Sung-Hyun Kim, Byoung-Dai Lee, Min-Suk Heo, and Yeong-Gil Shin, “Dual-Stage Deeply Supervised Attention-based Convolutional Neural Networks for Mandibular Canal Segmentation in CBCT Scans,” Sensors, 22(24), 2022.
Chan Su Lee, Mu Sook Lee, Shi Sub Byon, Sung Hyun Kim, Byoung Il Lee, and Byoung-Dai Lee, “Computer-Aided Automatic Measurement of Leg Length on Full-Leg Radiographs,” Skeletal Radiology, 51, 2022.
Mu Sook Lee, Yong Soo Kim, Minki Kim, Muhammad Usman, Shi Sub Byon, Sung Hyun Kim, Byoung Il Lee, and Byoung-Dai Lee, “Evaluation of the Feasibility of Explainable Computer-Aided Diagnosis for Detection of Cardiomegaly on Chest Radiographs using Deep Learning,” Scientific Reports, 11(16885), 2021.
Minki Kim and Byoung-Dai Lee, “A Simple Generic Method for Effective Boundary Extraction in Medical Image Segmentation,” IEEE Access, 9, 2021.
Byoung-Dai Lee and Mu Sook Lee, “Automated Bone Age Assessment using Artificial Intelligence; The Future of Bone Age Assessment,” Korean Journal of Radiology, 22(5), 2021.
Sang-Hyun Kim, Hyun Min Koh, and Byoung-Dai Lee, “Classification of Colorectal Cancer in Histological Images using Deep Neural Networks: An Investigation,” Multimedia Tools and Applications, 80, 2021.
Minki Kim and Byoung-Dai Lee, “Automatic Lung Segmentation on Chest X-Rays using Self-Attention Deep Neural Network,” Sensors, 21(2), 2021.
Nan-Young Shin, Byoung-Dai Lee, Ju-Hee Kang, Hye-Rin Kim, Dong-Hyo Oh, ByungIl Lee, Sung Hyun Kim, Mu Sook Lee, and Min-Suk Heo, “Evaluation of the Clinical Efficacy of a TW3-based Fully Automated Bone Age Assessment System using Deep Neural Networks,” Imaging Science in Dentstry, 50(3), 2020.
Muhammad Usman, Byoung-Dai Lee, Shi-Sub Byon, Sung-Hyun Kim, Byoung Il Lee, and Yeong-Gil Shin,m “Volumetric Lung Nodule Segmentation using Adaptive ROI with Multi-view Residual Learning,” Scientific Reports, 10(12839), 2020.
Muhammad Usman, Siddique Latif, Muhammad Asim, Byoung-Dai Lee, and Junaid Qadir, “Retrospective Motion Correction in multishot MRI using Generative Adversarial Network,” Scientific Reports, 10(4786), 2020.
Namgi Kim and Byoung-Dai Lee, “Analyzing and Improving MPEG-DASH-based Internet Live Broadcasting Services in Real-world Environments,” KSII Transactions on Internet and Information Systems, 13(5), 2019.
Sung Joon Son, Youngmin Song, Namgi Kim, Younghae Do, Nojun Kwak, Mu Sook Lee, Byoung-Dai Lee, “TW3-based Fully Automated Bone Age Assessment System using Deep Neural Networks,” IEEE Access, 7, 2019.
Dongjoo Choi, Myunghoon Jeon, Namgi Kim, and Byoung-Dai Lee, “An Enhanced Data-Locality-Aware Task Scheduling Algorithm for Hadoop Applications,” IEEE Systems Journal, 12(4), 2018.
Woosik Lee, Namgi Kim, Yoon-Ho Choi, Yong Soo Kim and Byoung-Dai Lee, “Machine Learning based Prediction of The Value of Buildings,” KSII Transactions on Internet and Information Systems, 12(8), 2018.
Kyungmo Park, Namgi Kim, and Byoung-Dai Lee, “Performance Evaluation of Emerging Media Transport Technologies for Next Generation Broadcasting Systems,” IEEE Access, 5, 2017.
Myunghoon Jeon, Namgi Kim, and Byoung-Dai Lee, “MapReduce-Based Distributed Video Encoding Using Context-Aware Video Segmentation and Scheduling,” IEEE Access, 4, 2016.
Byoung-Dai Lee, Kwang-Ho Kim, Namgi Kim, “Development of Energy-Efficient Mobile Applications based on Resource Outsourcing,” International Journal of Software Engineering and Knowledge Engineering, 24(8), 2014.
Byoung-Dai Lee, Kwang-Ho Lim, Yoon-Ho Choi, Namgi Kim, “An Adaptive Computation Offloading Decision for Energy-Efficient Execution of Mobile Applications in Clouds,” IEICE Transactions on Information and Systems, E97-D(7), 2014.
Byoung-Dai Lee and Kwang-Ho Lim, “An Energy-Efficient Hybrid Data Gathering Protocol Based on the Dynamic Switching of Reporting Schemes in Wireless Sensor Networks,” IEEE Systems Journal, 6(3), 2012.
Byoung-Dai Lee, “A Framework for Seamless Execution of Mobile Applications in the Cloud”, Lecture Notes in Electrical Engineering, 126(3), 2012.
Changhyeon Lim and Byoung-Dai Lee, “Development of a GINGA-NCL Receiver for Brazilian Mobile Broadcasting Services,” IEEE Transactions on Consumer Electronics, 57(4), 2011.
Byoung-Dai Lee, “Provisioning of Adaptive Rich Media Services in Consideration of Terminal Capabilities in IPTV Environments,” IEEE Transactions on Consumer Electronics, 57(3), 2011.
Byoung-Dai Lee, “Considerations for Reducing Channel Zapping Time for Protected Services in IP Datacast over DVB-H,” IEICE Transactions on Communications, 94-B (6), 2011.
Jaeyeon Song and Byoung-Dai Lee, “Mobile Rich Media Technologies: Current Status and Future Directions,” KSII Transactions on Internet and Information Systems, 5(2), 2011.
Changhyeon Lim and Byoung-Dai Lee, “Development of ATSC-MH Receiver for Mobile Digital TV Services,” IEEE Transactions on Consumer Electronics, 56(3), 2010.
