Seung Won Lee
Orcid: 0000-0001-5632-5208Affiliations:
- Sungkyunkwan University, School of Medicine, Department of Precision Medicine, Department of Metabiohealth, Seoul, Korea
- Kangbuk Samsung Hospital, Department of Family Medicine, Seoul, Korea
- CHA University, Pocheon, Korea (PhD 2018)
According to our database1,
Seung Won Lee authored at least 18 papers
between 2022 and 2026.
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Bibliography
2026
Robust Steganography Technique for Enhancing the Protection of Medical Records in Healthcare Informatics.
IEEE J. Biomed. Health Informatics, April, 2026
Q-AudioShield: Quantum-Resilient Audio Watermarking and Authentication Framework for Secure CIoT Multimedia Streams.
IEEE Trans. Consumer Electron., February, 2026
Spatial Reasoning and Risk Assessment for Autonomous Vehicles on Consumer Electronics Platforms Using a Customized Vision-Language Model With Data Augmentation.
IEEE Trans. Consumer Electron., February, 2026
Adaptive kernel fusion network with a boundary-aware decoder for generalizable colorectal polyp segmentation.
Expert Syst. Appl., 2026
A review of the emergence of AI-driven cognitive digital phenotyping: Multimodal sensing, foundation models, and the path toward digital twins for human cognition.
Comput. Sci. Rev., 2026
From task-specific to foundation models: A paradigm shift in medical vision-language analysis.
Comput. Sci. Rev., 2026
2025
Advancing genome-based precision medicine: a review on machine learning applications for rare genetic disorders.
Briefings Bioinform., July, 2025
Dual-task hierarchical feature refinement and fusion network for precise segmentation of surgical tools and polyps in endoscopy.
Expert Syst. Appl., 2025
A robust ensemble framework for anticancer peptide classification using multi-model voting approach.
Comput. Biol. Medicine, 2025
2024
An adaptive ensemble deep learning framework for reliable detection of pandemic patients.
Comput. Biol. Medicine, January, 2024
Multi-Sensor Fusion for Remote Sensing of Metallic and Non-Metallic Object Classification in Complex Soil Environments and at Different Depths.
IEEE Trans. Geosci. Remote. Sens., 2024
Deep learning network selection and optimized information fusion for enhanced COVID-19 detection.
Int. J. Imaging Syst. Technol., 2024
Multi-classification deep learning models for detection of ulcerative colitis, polyps, and dyed-lifted polyps using wireless capsule endoscopy images.
Complex Intell. Syst., 2024
Comput. Biol. Medicine, 2024
2023
Metaheuristic Optimization-Based Feature Selection for Imagery and Arithmetic Tasks: An fNIRS Study.
Sensors, April, 2023
A CNN-Based Chest Infection Diagnostic Model: A Multistage Multiclass Isolated and Developed Transfer Learning Framework.
Int. J. Intell. Syst., 2023
Artificial neural network models: implementation of functional near-infrared spectroscopy-based spontaneous lie detection in an interactive scenario.
Frontiers Comput. Neurosci., 2023
2022
SCDNet: A Deep Learning-Based Framework for the Multiclassification of Skin Cancer Using Dermoscopy Images.
Sensors, 2022