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Kim, J.-H.; Jung, H.-S.; Lee, S.-E.; J.-U. Hou†; Kwon, Y.-S†. "Improving Difficult Laryngoscopy Prediction using Deep Learning and Minimal Image Analysis: A Single-Center Prospective Study," Scientific reports, 2024 (JCR 18.3%).
Hong. S.-J.*, J.-U. Hou*, Jung. M.-C., Shim. B., Lee. S., Park D., Park S.-W†, "Convolutional neural network model for automatic recognition and classification of pancreatic cancer cell based on analysis of lipid droplet on unlabeled sample by 3D optical diffraction tomography," Computer Methods and Programs in Biomedicine, 2024. (IF: 6.1, JCR 13.1%, Link)
S. Ko, Y. Lee, M. Choi, D. Choi, C. Lee, and J.-U. Hou†, " Harnessing Optical Flow in Deep Learning Framework for Cardiopulmonary Resuscitation Training," Expert Systems with Applications, 2023. (IF:8.5, JCR 7.3%, Link)
J. Kim, S. Lee, H. Jung, B. Shim, J.-U. Hou†, Y. Kwon†, "Development and Validation of Deep Learning-Based Algorithms for Predicting Lumbar Herniated Nucleus Pulposus Using Lumbar X-rays," J. Pers. Med. 2022, 12, 767, (IF:4.9, JCR 13.5%)
J.-H. Hou, S.-W. Park†, Seon Mee Park, Da Hae Park, Chan Hyuk Park, and Seonjeong Min, “Efficacy of an artificial neural network algorithm based on thick-slab MRCP images for the automated diagnosis of common bile duct stones,” Journal of Gastroenterology and Hepatology, 2021.
S. Lee, M. Kang, and J.-U. Hou†, "Localization of Diffusion Model-Based Inpainting through Inter-Intra Similarity of Frequency Features," Image and vision computing, 2024 (Q1, JCR 13.4%).
B-.Shim*, J. Choi*, and J.-H. Hou†, "Source Identification of 3D Printer Based on Layered Texture Encoders," IEEE Transactions on Multimedia, 2023 (IF:8.1, JCR 2.6%, Link)
M. Choi, S. Lee, H. Jung, and J.-H. Hou†, "Transformers in Spectral Domain for Estimating Image Geometric Transformation," in Proceedings of the 30th ACM International Conference on Multimedia, 2022, (BK IF: 4, Link)
B.-S. Shim*, U.-S. Shin*, S.-W Park, and J.-U. Hou†, “SI3DP: Source Identification benchmark and challenges of Consumer-level 3D Printers,” in Proceedings of the 29th ACM International Conference on Multimedia, 2021, (BK IF: 4, Link)
J.-U. Hou, D.-G. Kim, and H.-K. Lee†, “Blind 3D Mesh Watermarking for 3D Printed Model by Analyzing Layering Artifact,” in IEEE Transactions on Information Forensics and Security, vol. 12, no. 11, pp. 2712–2725, 2017.
J.-U. Hou, and H.-K. Lee†, “Detection of Hue Modification Using Photo Response Non-Uniformity,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 28, no. 8, pp. 1826–1832, 2017.
M. Choi, and J.-U. Hou†, "Estimation of Image Geometric Transformations Using Transformers on Spectral Signature," IEEE Transactions on Multimedia, 2024. (under review)
J. Kang, and J.-U. Hou†, "Scenarios for Copyright Leakage of Spherical Panoramic Image and Its Countermeasures," IEEE Transactions on Multimedia, 2024. (under review)
K. Kim, J. Lee, M. Kang, W. Go, and J.-U. Hou†, "Enhancing Optical Character Recognition Performance in the Cybersecurity Domain for Indicator of Compromise Analysis ," Engineering Applications of Artificial Intelligence, 2024. (submitted)
J.-H. Hou, S. Park, S. Lee, and T.-S. Yoo†, "Artificial Intelligence for image recognition model: Using ICG cholangiography to identify hepatocystic triangle during minimal invasive cholecystectomy," Surgical Endoscopy, 2023. (Under review)
C. Kim, M. Kang, W Yuh, S. Lee, J. Lee, J.-U. Hou†, and S. Kang†, "Comparative Efficacy of Anteroposterior and Lateral X-ray-based Deep Learning in the Detection of Osteoporotic Vertebral Compression Fracture," Scientific reports, 2024 (under review)
G. Lee, Y. Jung, G. Lee and J.-U. Hou†,"-------," ACM Multimedia, 2024. (under review)
H. Moon, S. Park, and J.-U. Hou†, "-------," AAAI, 2024. (preparing)
S. Lee, M. Kang, B. Shim, and J.-U. Hou†,"-------," AAAI, 2024. (preparing)
I. Kim, J. Choi, J.-U. Hou† and J. Kim†, "Predictive ability of bleeding scores among patients with direct oral anticoagulants," 2024 (preparing)
I. Kim, J. Choi, J.-U. Hou† and J. Kim†, "Machine learning model in the prediction of bleeding among patients with direct oral anticoagulants," 2024 (preparing)
J.-U. Hou, S. Lee, Y. Jung, and I. Kim†, "Development of an Artificial intelligence-based risk analysis tool for non-variceal gastrointestinal bleeding patients in emergency department," 2024 (preparing)
I. Kim, G. Lee, K. Lee, J.-U. Hou and J. Kim†, "Long-term outcomes of ESD with expanded indication in early gastric cancers," 2024 (preparing)
Kim, J.-H.; Jung, H.-S.; Lee, S.-E.; J.-U. Hou†; Kwon, Y.-S†. "Improving Difficult Laryngoscopy Prediction using Deep Learning and Minimal Image Analysis: A Single-Center Prospective Study," Scientific reports, 2024 (JCR 18.3%).
S. Lee, M. Kang, and J.-U. Hou†, "Localization of Diffusion Model-Based Inpainting through Inter-Intra Similarity of Frequency Features," Image and vision computing, 2024 (Q1, JCR 13.4%).
Minsung Kim, Byung Il Kwak, Jong-Uk Hou, Taewoon Kim*, "Robust Long-Term Vehicle Trajectory Prediction using Link Projection and Situation-Aware Transformer," Sensors, 2024.
Hong. S.-J.*, J.-U. Hou*, Jung. M.-C., Shim. B., Lee. S., Park D., Park S.-W†, "Convolutional neural network model for automatic recognition and classification of pancreatic cancer cell based on analysis of lipid droplet on unlabeled sample by 3D optical diffraction tomography," Computer Methods and Programs in Biomedicine, 2024. (IF: 6.1, JCR 13.1%)
B. Shim, and J.-U. Hou†, "Improving Estimation of Layer Thickness and Identification of Slicer for 3D Printing Forensics," Sensors, 2023.
S. Ko, Y. Lee, M. Choi, D. Choi, C. Lee, and J.-U. Hou†, " Harnessing Optical Flow in Deep Learning Framework for Cardiopulmonary Resuscitation Training," Expert Systems with Applications, 2023. (IF:8.5, JCR 7.3%, Link)
B-.Shim*, J. Choi*, and J.-H. Hou†, "Source Identification of 3D Printer Based on Layered Texture Encoders," IEEE Transactions on Multimedia, 2023 (IF:8.1, JCR 2.6%, Link)
M. Choi, S. Lee, H. Jung, and J.-H. Hou†, "Transformers in Spectral Domain for Estimating Image Geometric Transformation," in Proceedings of the 30th ACM International Conference on Multimedia, 2022, (BK IF: 4, Link)
J. Kang, S. Ji, S. Lee, D. Jang, and J.-H. Hou†, "Detection Enhancement for Various Deepfake Types Based on Residual Noise and Manipulation Trace," IEEE Access, 2022.
E. Ahn, S. Kim, J.-U. Hou, and D. Jang, "Efficient Generation of Program Execution Hash," IEEE Access, 2022.
J. Kim, S. Lee, H. Jung, B. Shim, J.-U. Hou†, Y. Kwon†, "Development and Validation of Deep Learning-Based Algorithms for Predicting Lumbar Herniated Nucleus Pulposus Using Lumbar X-rays," J. Pers. Med. 2022, 12, 767, (IF:4.9, JCR 13.5%)
B.-S. Shim*, U.-S. Shin*, S.-W Park, and J.-U. Hou†, “SI3DP: Source Identification benchmark and challenges of Consumer-level 3D Printers,” in Proceedings of the 29th ACM International Conference on Multimedia, 2021, (BK IF: 4, Link)
J.-U. Hou*†, "MPEG and DA-AD Resilient DCT-Based Video Watermarking Using Adaptive Frame Selection." Electronics 10.20 (2021): 2467.
J. Park, S. Kim, and J.-U. Hou†. "An L2 Cache Architecture Supporting Bypassing for Low Energy and High Performance." Electronics 10.11 (2021): 1328.
J.-H. Hou, S.-W. Park†, Seon Mee Park, Da Hae Park, Chan Hyuk Park, and Seonjeong Min, “Efficacy of an artificial neural network algorithm based on thick-slab MRCP images for the automated diagnosis of common bile duct stones,” Journal of Gastroenterology and Hepatology, 2021 Jun 7.
J.-H. Kang, J.-U. Hou, S.-K. Ji, and H.-K. Lee†, “Robust spherical panorama image watermarking against viewpoint desynchronization,” IEEE Access, 2020.
H. Jang, and J.-U. Hou†, Exposing Digital Image Forgeries by Detecting Contextual Abnormality Using Convolutional Neural Networks. Sensors, 2020, 20, 2262.
W.-H. Kim, J Kang, SM Mun, and J.-U. Hou†, "Convolutional neural network architecture for recovering watermark synchronization." Sensors 20.18 (2020): 5427.
D.-G. Kim, J.-U. Hou, and H.-K. Lee†, “Learning Deep Features for Source Color Laser Printer Identification based on Cascaded Learning,” in Elsevier, Neurocomputing, 2019, 365, 219-228.
J.-U. Hou, Z. Baoquan, N. Ansari, and W. Lin, “Range Image based Point Cloud Colorization using Deep Generative Model,” in IEEE International Conference on Image Processing (ICIP), 2019.
K. Fan, R. Wang, G. Li, W. Lin, J.-U. Hou, L. Duan, and W. Gao, “Separable KLT for Intrao Coding in Versatile Video Coding,” in Data Compression Conference (DCC), Snowbird, UT, USA, 2019, pp. 571-571.
J.-U. Hou, and H.-K. Lee†, “Layer Thickness Estimation of 3D Printed Model for Digital Multimedia Forensics,” in IET Electronics Letters, vol.55, no.2, 2018.
J.-U. Hou, D. Kim, W. Ahn, and H.-K. Lee†, “Copyright Protections of Digital Content in the Age of 3D Printer: Emerging Issues and Survey,” in IEEE Access, vol. 6, 44082-44093, 2018.
J.-U. Hou, I.-J. Yu, and H.-K. Lee†, “Collusion Attack Resilient 3D Mesh Watermarking Based on Anti-Collusion Fingerprint Code,” in Applied Sciences, vol. 8, no. 7, num. 1040, 2018.
W.-H. Kim, J.-U. Hou, H.-U. Jang, and H.-K. Lee†, “Robust Template-Based Watermarking for DIBR 3D Images,” in Applied Sciences, vol. 8, no. 6, num. 911. 2018.
J.-U. Hou, D.-G. Kim, and H.-K. Lee†, “Blind 3D Mesh Watermarking for 3D Printed Model by Analyzing Layering Artifact,” in IEEE Transactions on Information Forensics and Security (TIFS), vol. 12, no. 11, pp. 2712–2725, 2017.
S.-H. Nam, W.H. Kim, S.M.Mun, J.-U. Hou, S. Choi, and H.-K. Lee†, “A SIFT Features based Blind Watermarking for DIBR 3D Images,” in Multimedia Tools and Applications, Springer US, 2017, pp. 1–40.
J.-U. Hou, and H.-K. Lee†, “Detection of Hue Modification Using Photo Response Non-Uniformity,” in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), vol. 28, no. 8, pp. 1826–1832, 2017.
J.-S. Park, D. K. Hyun, J.-U. Hou, D.-G. Kim, and H.-K. Lee†, “Detecting Digital Image Forgery in Near-Infrared Image of CCTV,” in Multimedia Tools and Applications, vol. 76, no. 14, pp. 15817–15838, 2017.
H.U. Jang, H.Y. Choi, J. Son, D. K.Kim, J.-U. Hou, S. Choi, and H.-K. Lee†, “Cropping-Resilient 3D Mesh Watermarking Based on Consistent Segmentation and Mesh Steganalysis,” in Multimedia Tools and Applications, Springer US, 2017, pp. 1–28.
J.-U. Hou, H.-U. Jang, J.-S. Park, and H.-K. Lee†, “Exposing Digital Forgeries by Detecting a Contextual Violation Using Deep Neural Networks,” in the 18th International Workshop on Information Security Applications, Springer, 2017 (Best Paper Award).
J.-U. Hou, I.-J. Yu, H.-J. Song, and H.-K. Lee†, “Robust 3D Mesh Watermarking Scheme for an AntiCollusion Fingerprint Code,” in the 18th International Workshop on Information Security Applications, Springer, 2017.
J.-U. Hou, D.-K. Kim, H.-J. Song, and H.-K. Lee†, “Secure Image Display through Visual Cryptography: Exploiting Temporal Responsibilities of the Human Eye,” in Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security (IH&MMSEC), ACM, 2016, pp. 169–174.
J.-U. Hou, D.-G. Kim, S. Choi, and H.-K. Lee†, “3D Print-Scan Resilient Watermarking Using a Histogram-Based Circular Shift Coding Structure,” in Proceedings of the 3rd ACM Workshop on Information Hiding and Multimedia Security (IH&MMSEC), ACM, 2015, pp. 115–121.
J.-U. Hou, H.-U. Jang, and H.-K. Lee†, “Hue Modification Estimation using Sensor Pattern Noise,” in Proceedings of IEEE International Conference on Image Processing (ICIP), 2014, pp. 5287–5291.
J.-U. Hou, J.-S. Park, D.-G. Kim, S.-H. Nam, and H.-K. Lee†, “Robust Video Watermarking for MPEG Compression and DA-AD Conversion,” in Proceedings of the 1st international workshop on Information hiding and its criteria for evaluation (IWIHC), ACM, 2014, pp. 2–8.
J.-U. Hou, S.-K. Ji, and H.-K. Lee†, “Fast Watermark Synchronization based on Complementary Templates,” in Journal of Computer and Communications, vol. 2, no. 04, p. 58, 2014.
K. Lee, S. Gill, J.-H. Hou†, "Object recognition and risk prediction integrated system to enhance night driving safety", in Korea Conference on Information Security and Cryptography-Winter 2023.
Y. Lee, J. Lee, J.-H. Hou†, "Road Safety through Detection of Pets in the Driver's Seat", in Korea Conference on Information Security and Cryptography-Winter 2023.
J. Jo, G. Lee, J.-H. Hou†, "One-Lane Constant Speed driving Detection for Road Traffic Safety Management", in Korea Conference on Information Security and Cryptography-Winter 2023.
S. Seo, J. Chun, J.-H. Hou†, "Detection of Non-Standard Speed Bumps Based on Visual Information for Improved Driving Safety", in Korea Conference on Information Security and Cryptography-Winter 2023.
M. Choi, S. Lee, J.-H. Hou†, "A Study on Loss Landscape Affecting the Performance Generalization of Transformer", in Korea Information Processing Society ACK, 2022
S. Lee, J.-H. Hou†, "Improving the Robustness of Deepfake Detection Models Against Adversarial Attacks", in Korea Information Processing Society ACK, 2022
S. Ko, Y. Na, M.Choi, J.-H. Hou†, "Reliable deep learning-based single cam seat status real-time detection solution", in Korea Information Processing Society ACK, 2022
Jae-Hong Choe, Seung-Lee Lee, Young-Jae Seo, Won-Jin Seo, J.-H. Hou†,"Generative Adversarial Networks Based Data Augmentation to Address Medical Data Imbalances", in Korea Information Processing Society ACK, 2022
Ye Jin Lee, Bo Seok Shim, J.-H. Hou†, "Survey Adversarial Attacks and Neural Rendering", in Korea Information Processing Society ACK, 2022
K. Lee, J.Ko, J.Park, J.-H. Hou†, "A Study on Deep learning-based Clothing Image Classification For the development of smart fashion industry", in Korea Information Processing Society ACK, 2022
M. Kang, J.-H. Hou†, "Study and Experiment on Detection Methods Suitable for Real-Time Mask Detection", in Korea Information Processing Society ACK, 2022
D. Jeong, J. Kim, G.-N. Kim, J.-U. Hou, B.-W. On, and M. Kang, “A Proposal of a Keyword Extraction System for Detecting Social Issues,” in Journal of Intelligence and Information Systems, vol. 19, no. 3, pp. 1–23, 2013.
J.-U. Hou, “Analysis of Web Visitor Behavior using Public Data Analysis and Gamification,” in Human Computer Interaction Korea (HCI Korea), pp. 239–242, 2013.
INO Partners, "Image frequency based invisible watermark embedding and detection method," 50,000K KRW, 2021.
U.S. Patent 10,438,311 , “Watermark embedding apparatus and method, and watermark detecting apparatus and method for 3D printing environment,” 2019
U.S. Patent 10,769,745, “Three-dimensional mesh model watermarking method using segmentation and apparatus thereof,” 2016
U.S. Patent 10,049,422 , “Template-based watermarking method for depth-image-based rendering based 3D image and apparatus thereof,” 2018
China Patent: 201710001765.0, “3-Dimensional Mesh Model Forensicmarking Method Using Segmentation and Apparatus Therefor,” filed Dec 21, 2016
출원: 10-2023-0035316, 딥러닝 기반 심폐소생술 교육 시스템, 2023/03/17
출원: 10-2023-0018803, 딥페이크 탐지 모델의 적대적 공격 방어를 위한 학습을 수행하는 전자 장치, 전자 장치의 제어 방법, 2023/02/13
출원: 10-2022-0151336, 이미지의 변환을 추정하는 트랜스포머 기반의 전자 장치, 및 그 제어 방법, 2022/11/14
출원: 10-2022-0122680, 3D 프린팅 된 객체의 이미지를 바탕으로 3D 프린터를 식별 하는 신경망 기반의 전자 장치, 2022/9/27
등록: 10-1785194, “DIBR 3차원 영상을 위한 템플릿 기반 워터마킹 방법 및 장치,” Registered Sept 28, 2017
등록: 10-1871065, “분할 기법을 이용한 3차원 메쉬 모델 워터마킹 방법 및 장치,” Registered June 19, 2018
등록: 10-1879954, “시각 도메인 기반의 시각 암호화를 이용한 보안 이미지 처리 방법 및 그 장치,” Registered July 12, 2018
등록: 10-1980864, “워터마크 삽입 장치, 워터마크 검출 장치 및 그 방법,” Registered May 15, 2019
등록: 10-1644268, “센서 패턴 노이즈를 이용한 디지털 이미지 색상 위변조 추정 방법 및 그 장치,” Registered July 25, 2016