Yugyung Lee

Professor

University of Missouri Kansas City

United States

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About

Yugyung Lee is a Professor at the University of Missouri–Kansas City, USA. His research areas encompass advanced technologies in medical imaging, traffic forecasting, and deep learning applications, as evidenced by his recent publications on topics such as 3D printing of biomaterials and multi-modality tumor segmentation. Professor Lee is dedicated to integrating cutting-edge methodologies for enhancing detection and classification in various medical and technological fields.

Articles (11)

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2025

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2025

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2025

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2025

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2025

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2025

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2023

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2022

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2022

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2022

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2021

Collaborators (2)

Erin Bumann

Assistant Professor

University of Missouri Kansas City

UNITED STATES

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Scott Sponheim

Staff Psychologist / Professor

UNITED STATES

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Yugyung Lee

Research Interests

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Articles (11)

Novel Approaches for the 3D Printing of Collagen-Sourced Biomaterials Against Infectious and Cardiovascular Diseases

DFDG: Adaptive federated learning for dynamic graph-based traffic forecasting

Traffic forecasting using spatio-temporal dynamics and attention with graph attention PDEs

AUSAM: Adaptive Unified Segmentation Anything Model for multi-modality tumor segmentation and enhanced detection in medical imaging

Integrating local and global attention mechanisms for enhanced oral cancer detection and explainability

Cardiac Repair and Regeneration via Advanced Technology: Narrative Literature Review

ETSNet: A deep neural network for EEG-based temporal–spatial pattern recognition in psychiatric disorder and emotional distress classification

Collaborative deep learning model for tooth segmentation and identification using panoramic radiographs

Multimodal ensemble model for Alzheimer's disease conversion prediction from Early Mild Cognitive Impairment subjects

OpenComm: Open community platform for data integration and privacy preserving for 311 calls

Event-Driven Deep Learning for Edge Intelligence (EDL-EI)

Collaborators (2)

Erin Bumann

Scott Sponheim

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