International Journals

International Journals #




  • “Can deep learning-based artificial intelligence reliably automate radiographic parameters in hip X-ray images of children?,” under review.
  • “AI-Assisted Semi-Automatic Report Generation of Multimodal Ultrasound for Breast Cancers,” under review.
  • “TransSkip: Leveraging Transformer-based Attention Mechanisms for Multi-Scale Feature Fusion,” under review.
  • “Enhancing Flatfoot Diagnosis with Deep Learning-Based Automated Angle Measurement on Weight-Bearing Lateral Radiographs: Statistical Evaluation of the Reliability and Efficiency,” under review.
  • “Shadow Feature Refinement Network (SFR-Net): Progressive Feature Refinement based on Knowledge Distillation for Effective Shadow Removal,” under review.

  • 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.