Survey of AI-Powered Approaches for Osteoporosis Diagnosis in Medical Imaging
FracNet: A dual-path deep learning framework for multi-scale hip fracture classification from X-rays
FTAM-Net: A Feature Transformer with Adaptive Multi-Scale Refinement Network for Osteoarthritis Image Classification
DEHFR-Net: Dual Encoder with Hierarchical Feature Refinement for Osteoarthritis Diagnosis
DualEncoderNet: EfficientNet-Based Hierarchical Framework for Multi-scale Gastrointestinal Disease Detection
BONE-Net: A Novel Hybrid Deep-Learning Model for Effective Osteoporosis Detection, PlosOne, in revision
Deep locomotion prediction learning over biosensors, ambient signals and visual devices, PlosOne, in revision
Hamza Shafiq, Shaily Bajpai and Bumshik Lee*, "IA-TMUNet: Instance Aware-Teeth Mamba U-Net for Multiclass Teeth Segmentation", Knowledge-based Systems, in revision
Aradhana Mishra and Bumshik Lee*, "PixelBoost: Leveraging Brownian Motion for Realistic Image Super-Resolution", IEEE Transactions on Multimedia, to appear, 2025
A. Naseer, M. Alotaibi, H. F. Alhasson, N. A. Almujally, S. S. Alharbi, A. Jalal and Bumshik Lee*, "Enhancing Scene Understanding using RGBD Visuals and Deep Learning Segmentation Models", ETRI Journal, to applear, 2025
Muhammad Asif Jamal, Guoqing Chao and Bumshik Lee*, "DentSeg-EDA: A 3D Tooth Segmentation Framework for CBCT Images using Enhanced Dual Attention", Neurocomputing, vol. 655, Nov. 2025
Srinivasa Rao, Muhammad Ishaq and Bumshik Lee*, "Multi-level Feature Enhancement and Dual Attention Mechanisms for Improved Osteoporosis Diagnosis", Neurocomputing, vol. 652, Nov. 2025
Hamza Shafiq, Truong Nguyen and Bumshik Lee*, "ColorFormer: A Novel Colorization Method Based on a Transformer", Neurocomputing, vol. 649, Oct. 2025
Guoqing Chao, Jingnan Qi, Jingxuan Li, Bumshik Lee and Dianhui Chu, "Incomplete Multi-View Classification via Graph Neural Network on Heterogeneous Graph", Information Fusion, vol. 121, Sep. 2025
Srinivasa Rao, C. Kondaiah, A.-R. Paris and Bumshik Lee*, "A Hybrid Super Learner Ensemble for Phishing Detection on Mobile Devices", Scientific Reports, vol. 15, May, 2025
Aradhana Mishra and Bumshik Lee*, "Comprehensive survey on deoldifying images and videos", Computers and Electrical Engineering, 124 (2025), May 2025.
A. Q. Qureshi, M. Alotaibi, S. R. Alotaibi, D. Alhammadi, M. A. Jamal, A. Jalal and Bumshik Lee*, "Autonomous vehicle surveillance through fuzzy C-means segmentation and deepSORT on aerial images", PeerJ Computer Science, May 2025
M. Batool, M. Alotaibi, S. R. Alotaibi, D. A. AlHammadi, Muhammad Asif Jamal, Ahmad Jalal and Bumshik Lee*, "Multimodal Human Action Recognition Framework using an Improved CNNGRU Classifier", IEEE Access, vol. 12, Oct. 2024.
Muhammad Azhar, Shahida Perveen, Asma Iqbal and Bumshik Lee*, "IDRandom-Forest: Advanced Random Forest for Real-Time Intrusion Detection", IEEE Access, vol. 12, Aug. 2024.
Hamza Shafiq and Bumshik Lee*, "Transforming Color: A Novel Image Colorization Method", Electronics, 13 (13), Jun. 2024.
Myung-Han Hyun, Bumshik Lee and Munchurl Kim, "A VVC Intra Rate Control with Small Bit Fluctuations using a Lagrange Multiplier Adjustment", IEEE Transactions on Multimedia, vol. 26, pp. 6811 - 6821, Jan. 2024,
Hamza Shafiq and Bumshik Lee*, "Image Colorization using Color-Features and Adversarial Learning", IEEE Access, vol. 12, Nov. 2023
Afnan Gafhoor, Seong-Yong Moon and Bumshik Lee*, "Multiclass Teeth Segmentation using Teeth Attention Modules for Dental X-ray Images", IEEE Access, vol. 11, Nov. 2023.
Arshiana Shamir, Nokap Park and Bumshik Lee*, "BOLD-NET: Brightness Enhancement for Old Images using Deep Curve Estimation and Attention Modules", Engineering Applications of Artificial Intelligence, 126 (2023), Nov. 2023
Sajid Ullah Khan, F. Khan, S. Ullah, Y. Lee, S. ulQudoos and Bumshik Lee*, "Multimodal medical image fusion in NSST domain with structural and spectral features enhancement", Heliyon, vol. 9, no. 6, Jun. 2023
Sajid Ullah Khan, Imdad Ullah, Najeeb Ullah, Sajid Shah, Mohammed El Affendi and Bumshik Lee*, "A novel CT image de-noising and fusion based deep learning network to screen for disease (COVID-19)", Scientific Reports, vol. 13, no. 6601, 2023
Chaitra Dayananda, Nagaraj Yamanakkanavar, Truong Nguyen and Bumshik Lee*, "AMCC-Net: An Asymmetric Multi-cross Convolution for Skin Lesion Segmentation on Dermoscopic Images", Engineering Applications of Artificial Intelligence, 122 (2023), Jun. 2023
S. Zia, M. Azhar, Bumshik Lee, A. Tahir, J. Ferzund, Fozia and M. Ali, "Recognition of printed Urdu script in Nastaleeq font by using CNN-BiGRU-GRU Based Encoder-Decoder Framework", Intelligent Systems with Applications, vol. 18, May 2023
Shivarama Holla, Nokap Park and Bumshik Lee*, "EFID: Edge-Focused Image Denoising Using a Convolutional Neural Network", IEEE Access, vol. 11, pp. 9613 - 9626, Feb. 2023
J.-Y.Choi and Bumshik Lee*, "Combining Deep Convolutional Neural Networks with Stochastic Ensemble Weight Optimization for Facial Expression Recognition in the Wild", IEEE Transactions on Multimedia, vol. 25, pp. 100-111, Jan. 2023
Sadat Hossain and Bumshik Lee*, "NG-GAN: A Robust Noise-Generation Generative Adversarial Network for Generating Old-Image Noise", Sensors, 23 (1), pp. 1-18, 2023
Nagaraj Yamanakkanavar and Bumshik Lee*, "MF2-Net: A Multipath Feature Fusion Network for Medical Image Segmentation", Engineering Applications of Artificial Intelligence, 114 (2022), Sep. 2022.
Nagaraj Yamanakkanavar, J.-Y. Choi and Bumshik Lee*, "SM-SegNet: A lightweight Squeeze M-SegNet for tissue segmentation in brain MRI scans", Sensors, 22(14), pp. 1-24, Jul. 2022
Nagaraj Yamanakkanavar, J.-Y. Choi and Bumshik Lee*, "Multiscale and Hierarchical Feature-Aggregation Network for Segmenting Medical Images", Sensors, 22(9), 3440, May 2022.
Chaitra Dayananda, J.-Y. Choi and Bumshik Lee*, "A squeeze U-SegNet architecture based on residual convolution for brain MRI segmentation", IEEE Access, vol. 10, pp. 52840-52817, May 2022
Nagaraj Yamanakkanavar and Bumshik Lee*, "A novel M-SegNet with global attention CNN architecture for automatic segmentation of brain MRI", Computers in Biology and Medicine, 136 (2021), 104761, Sep. 2021.
Chaitra Dayananda, J.-Y. Choi and Bumshik Lee*, "Multi-scale squeeze U-SegNet with multi global attention for brain MRI segmentation", Sensors, 21(10), 3363, May 2021.
Myung-Han Hyun, Bumshik Lee and Munchurl Kim, "A Novel Rate and Distortion Estimation Method using Particle Filtering based Prediction for Intra-Predictive Coding of Deep Block Partitioning Structures ", IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 2, Feb. 2021.
K.-T. Kim, Bumshik Lee, and J.-Y. Choi, "3D-2D deep convolutional neural network (DCNN) cascade for robust video face recognition", Multimedia Tools and Applications, 80, 4023-4036 (2021), Jan. 2021.
Myung-Han Hyun, Bumshik Lee, and Munchurl Kim, "A Frame-level Constant Bit-Rate Control using Recursive Bayesian Estimation for Versatile Video Coding," vol. 8, pp. 227255-227269, IEEE Access, Dec. 2020.
Sarala Ghimire and Bumshik Lee*, "A Data Integrity Verification Method for Surveillance Video System", Multimedia Tools and Applications, 79, pp. 30163-30185, Nov. 2020.
Bumshik Lee, Nagaraj Yamanakkanavar and J.-Y. Choi, "Automatic Segmentation of Brain MRI using a Novel Patch-wise U-net Deep Architecture ", Plos One, 15 (8), Aug. 2020.
Nagaraj Yamanakkanavar and Bumshik Lee*, "Using a patch-wise M-net convolutional neural network for tissue segmentation in brain MRI images", IEEE Access, vol. 8, pp. 120946-120958, Jul. 2020.
Nagaraj Yamanakkanavar, J.-Y. Choi and Bumshik Lee*, "MRI Segmentation and Classification of Human Brain using Deep Learning for Diagnosis of Alzheimer’s Disease: A Survey", Sensors, 20(11), 3243, Jun. 2020.
J.-Y. Choi and Bumshik Lee*, "Combining of multiple deep networks via ensemble generalization loss, based on MRI Images, for Alzheimer’s disease classification", IEEE Signal Processing Letters, vol. 27, no. 1, pp. 206-210, 2020
J.-Y. Choi and Bumshik Lee*, "Ensemble of deep convolutional neural networks with Gabor face representations for face recognition", IEEE Transactions on Image Processing, vol. 29, no. 1, pp. 3270-3281, 2020.
Sarala Ghimire, J. -Y. Choi and Bumshik Lee*, "Using blockchain for improved video integrity verification," IEEE Transactions on Multimedia, vol. 22. no. 1, pp. 108 - 121, Jan. 2020.
Woonsung Park, Bumshik Lee* and Munchurl Kim, "Fast computation of integer DCT-V, DCT-VIII and DST-VII for video coding" IEEE Transactions on Image Processing, vol. 28, no. 12, pp. 5839-5851, Dec. 2019.
M. A. Malik, J.-Y. Choi, M. Kang and Bumshik Lee*, "Improved majority filtering algorithm for cleaning class label noise in supervised learning", IEICE Transactions on Fundamentals of Electronics, Communications and Computer Science, vol. E102-A, no. 11, pp. 1556-1559, Nov., 2019.
A. Basher, K.-Y. Choi, J.-J. Lee, Bumshik Lee, B. -C. Kim, Kun Ho Lee and Ho Yub Jung, "Hippocampus localization using a two stage ensemble hough convolutional neural network ", IEEE Access, vol. 7, pp. 73436-73447, 2019.
Bumshik Lee, W. Ellahi and J.-Y. Choi, "Using CNN with data permutation scheme for classification of Alzheimer's disease in structural Magnetic Resonance Imaging (sMRI) ", IEICE Transactions on Information and Systems, vol. E102-D, no. 7, pp. 1384 - 1395, Jul. 2019.
Bumshik Lee and J.-Y. Choi, "A rate perceptual-distortion optimized video coding for HEVC", IEICE Transactions on Information and Systems, vol. E101-D, no.12, pp.3158-3169, Dec. 2018.
J.-Y. Choi and Bumshik Lee*, "Combining LSTM network ensemble via adaptive weighting for improved time series forecasting" Mathematical Problems in Engineering, vol. 2018, id 2470171, 2018.
Debesh Jha, Ji-in Kim, Bumshik Lee and Goo-Rak Kwon, "Efficient cascade model for pathological brain image detection by magnetic resonance image", Journal of Medical Imaging and Health Informatics, vol. 7, no. 8, pp. 1744-1752, Dec. 2017.
Bumshik Lee and Munchurl Kim, "A CU-level Rate and Distortion Estimation Scheme for RDO of Hardware-friendly HEVC Encoders Using Low-Complexity Integer DCTs" IEEE Transactions on Image Processing, vol. 25, No. 8, pp. 3787 - 3800, Aug. 2016.
Bumshik Lee, Jaehong Jung and Munchurl Kim, "An All-zero Block Detection Scheme for Low-complexity HEVC Encoders," IEEE Transactions on Multimedia, vol. 18, no. 7, pp. 1257-1268, Jul. 2016.
Sangsoo Ahn, Bumshik Lee and Munchurl Kim, "A novel fast CU encoding scheme based on spatio-temporal encoding parameters for HEVC inter coding" IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 3, pp. 422-436, Mar. 2015.
Bumshik Lee, Munchurl Kim and Truong Q. Nguyen, “A Frame-level Rate Control Scheme based on Texture and Non-texture Rate Models for High Efficiency Video Coding” IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 3, pp. 465- 479, Mar. 2014.
Bumshik Lee, Munchurl Kim, Jongho Kim, Hui Yong Kim and Jin Soo Choi “Performance Analysis of Hierarchical Transform Coding with A Large Kernel for Video Codecs,” IET Image Processing, vol. 8, no.1, pp. 12-22, Jan. 2014.
Bumshik Lee and Munchurl Kim, “No-reference PSNR Estimation for HEVC Encoded Video,” IEEE Transactions on Broadcasting, vol. 59, no. 1, pp. 20-27, Mar. 2013.
Bumshik Lee and Munchurl Kim, “An Efficient Inter-prediction Mode Decision Method for Temporal Scalability Coding with Hierarchical B-picture Structure,” IEEE Transactions on Broadcasting, vol. 58, no. 2, pp. 285-290, Jun. 2012.
Bumshik Lee and Munchurl Kim, “Modeling Rates and Distortions Based on a Mixture of Laplacian Distributions for Inter-Predicted Residues in Quadtree Coding of HEVC,” IEEE Signal Processing Letters, vol. 18, no. 10, pp. 571 – 574, Oct., 2011.
Bumshik Lee and Munchurl Kim, “A Low Complexity Mode Decision Method for Spatial Scalability Coding,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 21, no. 1, pp. 88 – 95, Jan. 2011.
Jeongyeon Lim, Munjo Kim, Bumshik Lee, Munchurl Kim, Heekyung Lee and Han-Kyu Lee, "A Target Advertisement System based on TV Viewer’s Profile Reasoning," Multimedia Tools and Applications, vol. 36, no.1, pp. 11-35, 2008.
* : Corresponding author
Muhammad Ishaq and Bumshik Lee, "A Hybrid Attention-Driven Deep Learning Model for Osteoporosis Detection in Knees", The 7th International Conference on Artificial Intelligence in Information and Communication (ICAIIC) 2025, Fukuoka, Japan, Feb. 2025
Afnan Ghafoor and Bumshik Lee, "Enhancing Multiclass Teeth Segmentation with Advanced Attention Mechanisms", The 7th International Conference on Artificial Intelligence in Information and Communication (ICAIIC) 2025, Fukuoka, Japan, Feb. 2025
Jamal Asif and Bumshik Lee, "Accurate 3D Tooth Segmentation via Skeleton and Centroid Guidance in CBCT Imaging", The 7th International Conference on Artificial Intelligence in Information and Communication (ICAIIC) 2025, Fukuoka, Japan, Feb. 2025
Aradhana Mishra, Taeyoung Na and Bumshik Lee, "ASV-SR: Adaptive Stochastic Variability in Diffusion Model for Image Super Resolution", International Conference on Next Generation Computing 2024, Nov. 2024
Aradhana Mishra and Bumshik Lee, "Transformer-Based Image Super-Resolution with Deep Feature Extraction Block", International Conference on Convergent and Smart Systems 2024, Kenya, Jul. 2024
Muhammad Afnan Ghafoor and Bumshik Lee, "DentalVision: A ResNet50-U-Net Fusion for Panoramic Teeth Segmentation," The 24th International Symposium on Intelligence Systems, Dec. 2023, Gwangju.
Muhammad Shafqat Ali, Muhammad Azhar, Saba Masood, Bumshik Lee, Tanzeela Iqbal, Adeen Amjad, "Efficient Video Summarization with Hydra Attentive Vision Transformer", 2023 International Conference on Frontiers of Information Technology (FIT), Dec. 2023
K Hussain, M Azhar, B Lee, A Iqbal, M Affan, SU Khan, "ASAnalyzer: Attention based Sentiment analyzer for Real-world Sentiment Analysis" 2023 International Conference on Frontiers of Information Technology (FIT), Dec. 2023
A. Shamir and B. Lee, “Estimating deep curve and illumination maps for old image brightness enhancement,” in Proc. 13th Int. Conf. ICT Convergence (ICTC), Jeju, Korea, 2022.
S. Holla and B. Lee, “Convolutional residual blocks with edge guidance for image denoising,” in Proc. 13th Int. Conf. ICT Convergence (ICTC), Jeju, Korea, 2022.
C. Dayananda, W. You, J. Y. Choi, and B. Lee, “Skin lesion segmentation in dermoscopic images using CNN architecture,” in Proc. 12th Int. Conf. ICT Convergence (ICTC), Jeju, Korea, 2021.
S. Ghimire, N. Yamanakkanavar, and B. Lee, “A no-reference image quality assessment based on reference generating network,” in Proc. ICCE-ASIA, Seoul, Korea, 2020.
N. Yamanakkanavar and B. Lee, “Brain tissue segmentation using patch-wise M-net convolutional neural network,” in Proc. ICCE-ASIA, Seoul, Korea, 2020.
C. Dayananda and B. Lee, “Squeeze U-SegNet: A CNN architecture for automatic segmentation of brain MRI,” in Proc. 9th Int. Conf. Smart Media and Applications 2020, Jeju, Korea, Sep. 17–19, 2020.
S. Ghimire, S. Shin, and B. Lee, “Randomized hashing for video surveillance system,” in Proc. Int. Conf. Next Generation Computing, Chiang Mai, Thailand, Dec. 19–23, 2019.
S. Shrestha and B. Lee, “A transform kernel derivation method for versatile video coding (VVC),” in Proc. Int. Conf. Next Generation Computing, Chiang Mai, Thailand, Dec. 19–23, 2019.
S. Shrestha and B. Lee, “A DST-3 based transform kernel derivation for video coding,” in Proc. Int. Conf. Next Generation Computing, Chiang Mai, Thailand, Dec. 19–23, 2019.
B. Khagi, J. Pyun, B. Lee, and G.-R. Kwon, “CNN models performance analysis on MRI image of OASIS dataset for distinction between healthy and Alzheimer patients,” in Proc. Int. Conf. Electronic, Information and Communication, Pullman Auckland, New Zealand, Jan. 22–25, 2019.
M. A. Malik and B. Lee, “U-Net model for automatic segmentation of MR brain images,” in Proc. Int. Conf. Next Generation Computing, Ho Chi Minh, Vietnam, Dec. 19–23, 2018.
W. Ellahi and B. Lee, “Magnetic resonance imaging enhancement using adaptive histogram equalization with multi-scale method,” in Proc. Int. Conf. Next Generation Computing, Ho Chi Minh, Vietnam, Dec. 19–23, 2018.
Y.-H. Chan, H. Egilmez, A. Ortega, S. Yea, and B. Lee, “Edge adaptive graph-based transforms: Comparisons of step/ramp edge models for video compression,” in Proc. IEEE Int. Conf. Image Processing (ICIP), Phoenix, AZ, USA, Sep. 2016, pp. 1539–1543.
H. Egilmez, Y.-H. Chan, A. Ortega, S. Yea, and B. Lee, “GBST: Separable transforms based on line graphs for predictive video coding,” in Proc. IEEE Int. Conf. Image Processing (ICIP), Phoenix, AZ, USA, Sep. 2016, pp. 2375–2379.
B. Lee and M. Kim, “A rate control scheme for high efficiency video coding using a new rate-quantization model,” in Proc. Int. Conf. Image Processing and Computer Vision (IPCV), Las Vegas, NV, USA, Jul. 16–19, 2012.
B. Lee and M. Kim, “A novel distortion model for quadtree coding in high-efficiency video coding,” in Proc. IS&T/SPIE Electronic Imaging, San Francisco, CA, USA, Jan. 22–26, 2012, vol. 8294, pp. 22–26.
B. Lee, M. Kim, H.-Y. Kim, J. Kim, and J.-S. Choi, “A hierarchical variable-sized block transform coding scheme for coding efficiency improvement on H.264/AVC,” in Proc. Picture Coding Symposium (PCS), Nagoya, Japan, Dec. 2010.
B. Lee, M. Kim, H.-Y. Kim, and J.-S. Choi, “Variable block transforms with higher-order kernels for (ultra) high definition video coding,” in Proc. IS&T/SPIE Electronic Imaging, San Jose, CA, USA, Jan. 19–21, 2010, vol. 7545, pp. 19–21.
B. Lee and M. Kim, “Adaptive quantization based on statistical parameter estimation in H.264/AVC,” in Proc. Triangle Symposium on Advanced ICT, Daejeon, Korea, Oct. 6–9, 2008 (Best Paper Award).
S. Ahn, B. Lee, M. Kim, S. Hahm, C. Park, and I. Cho, “A fast sub-pel motion estimation scheme using a parabolic SAD model,” in Proc. Int. Workshop on Advanced Image Technology (IWAIT), Seoul, Korea, Jan. 12–13, 2009.
P. Chen, J. Lim, B. Lee, M. Kim, and S. Hahm, “A network-adaptive SVC streaming structure,” in Proc. IEEE Int. Conf. Advanced Communication Technology (ICACT), Kangwon, Korea, Feb. 12–14, 2007.
B. Lee, M. Kim, S. Hahm, K. Lee, B. S. Kim, and K. Park, “A fast inter-mode decision of scalable video coding using statistical hypothesis testing,” in Proc. IEEE Int. Symposium on Broadband Multimedia Systems and Broadcasting, Orlando, FL, USA, Mar. 28–29, 2007.
B. Lee, M. Kim, S. Hahm, I.-J. Cho, and C. Park, “A low complexity encoding scheme for coarse grain scalable video coding,” in Proc. IET Visual Information Engineering, Xi’an, China, Jul. 29–Aug. 1, 2008.
B. Lee, M. Kim, S. Hahm, C. Park, and K. Park, “An early skip mode decision in spatial enhancement layer for low complexity scalable video encoder,” in Proc. SPIE Symp. Optical Engineering + Applications, San Diego, CA, USA, Aug. 10–14, 2008.
B. Lee, M. Kim, S. Hahm, C. Park, and K. Park, “A fast mode decision for spatially scalable video coding,” in Proc. IEEE Int. Symposium on Broadband Multimedia Systems and Broadcasting, Las Vegas, NV, USA, Mar. 31–Apr. 2, 2008.
B. Lee, M. Kim, S. Hahm, C. Park, and K. Park, “An efficient block mode decision for temporal scalability in scalable video coding,” in Proc. IS&T/SPIE Electronic Imaging, San Jose, CA, USA, Jan. 27–31, 2008, vol. 6815, pp. 27–31.
H. Hendry, B. Lee, and M. Kim, “A layered securing and governing approach for scalable video contents using MPEG-21 IPMP,” in Proc. IEEE Int. Symposium on Broadband Multimedia Systems and Broadcasting, Las Vegas, NV, USA, Apr. 2006.
M. Kim, B. Lee, J. Lim, M. Kim, H. Lee, and H. Lee, “Target advertisement system based on a TV viewer’s profile reasoning,” in Proc. EURO ITV, Athens, Greece, May 25–26, 2006.
B. Lee and M. Kim, “Rotation and translation invariant feature extraction using angular projection in frequency domain,” in Proc. IS&T/SPIE Electronic Imaging, San Jose, CA, USA, Jan. 15–19, 2006, vol. 6073.
Afnan Ghafoor, Bumshik Lee, "Attention-based deep learning framework for skin leision segmentation", Smart Media Journal, vol. 13, no. 3, pp. 53-61, 2024년 3월
이영찬, 박범진, 최재영, 이범식, 유원상, "반려동물 피부영상에서의 질환 검출을 위한 딥러닝 기반 털 영역분할 기법: 기존 방법의 적용성 평가", 차세대컴퓨팅학회논문지, 2022년 4월
챠이트라 다야난다, 유원상, 이범식, "피부병 영상에서 공간 그룹 컨벌루션 기반 피부 병변 분할 방법", 차세대컴퓨팅학회논문지, 2021년 10월
챠이트라 다야난다, 이범식, "CNN을 이용한 뇌 MRI 영상 분할에 관한 성능 비교 분석", 차세대컴퓨팅학회논문지, pp. 63-76, 2020년 6월
이범식, "VVC 표준 동향: 변환 기술", 방송과 미디어. 2019년 10월
이범식, "2차 변환기 설계", 차세대컴퓨팅학회 논문지, 2017년 12월
김대은, 이범식, 김문철, 함상진, 김병선, "H.264/SVC 공간 계위 부호화 기반 지상파 다채널 하이브리드 고화질 방송 서비스 프레임워크 및 H.264/SVC 부호화 성능 평가," 방송공학회논문지, 제 17권 4호, 2012년 7월, pp.640-658.
이범식, 김문철, 함상진, 박창섭, 박근수 “스케일러블 비디오 부호화에 선택적 계층간 차분 신호 부호화 및 공간적 향상 계층에서의 모드 결정,” 방송공학회 논문지, 제12권, 제6호 2007년 11월 비디오 코딩 특집호
나태영, 이범식, 김문철, 함상진, 박창섭, 박근수 “영상 내용 특성과 주위 블록 모드 상관성을 이용한 H.264/AVC 화면간 프레임에서의 화면 내 예측 부호화”, 방송공학회 논문지, 제12권 6호, 2007년 11월
이범식, 김문철, 함상진, 박창섭, 박근수 “스케일러블 비디오 부호화에 공간적 계층간 고속 모드 결정” 방송공학회 논문지, 제12권, 제4호, 2007년 7월
이범식, 김문철, 함상진, 박창섭, 박근수 “스케일러블 비디오 부호화에서 통계적 가설 검증 기법을 이용한 화면간 모드 결정“ 방송공학회 논문지, 제12권, 제3호, 2007년 5월
이범식, 김문철, “ 주파수 영역에서 각도 투영법을 이용한 회전 및 천이 불변 특징 추출”, Journal of the HCI Society of Korea, vol. 1, no. 2, pp. 27-33, 2006
김문조, 이범식, 임정연, 김문철, 이희경, 이한규, "시청자 프로파일 추론과 TV Anytime 메타데이터를 이용한 표적 광고," 정보과학회 논문지: 시스템 및 이론, 제33권 제10호, 2006년