Boreom Lee

Associate Professor

Gwangju Institute of Science and Technology

South Korea

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About

Dr. Boreom Lee is an Associate Professor at the Gwangju Institute of Science and Technology in South Korea. His research focuses on advanced methodologies for gesture classification, automatic sleep-stage classification, and cancer subtype prediction. Recent publications highlight his work on integrating vision transformers and attention networks in various applications, including cervical cancer detection and EEG signal analysis.

Articles (11)

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2021

Collaborators (1)

Yong-Moon Lee

Assistant Professor

Dankook University College of Medicine

SOUTH KOREA

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Boreom Lee

Research Interests

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Articles (11)

A Novel Approach to Surface EMG-Based Gesture Classification Using a Vision Transformer Integrated with Convolutive Blind Source Separation

Automatic sleep-stage classification based on residual unit and attention networks using directed transfer function of electroencephalogram signals

CytoNet: an efficient dual attention based automatic prediction of cancer sub types in cytology studies

CervixFormer: A Multi-scale swin transformer-Based cervical pap-Smear WSI classification framework

Beyond the Microscope: A Technological Overture for Cervical Cancer Detection

DeepGene Transformer: Transformer for the gene expression-based classification of cancer subtypes

Differential relationship of observer-rated and self-rated depression and anxiety scales with heart rate variability features

Event-Driven Edge Deep Learning Decoder for Real-Time Gesture Classification and Neuro-Inspired Rehabilitation Device Control

Multiclass classification of imagined speech EEG using noise-assisted multivariate empirical mode decomposition and multireceptive field convolutional neural network

An effective modular approach for crowd counting in an image using convolutional neural networks

HADF-Crowd: A Hierarchical Attention-Based Dense Feature Extraction Network for Single-Image Crowd Counting

Collaborators (1)

Yong-Moon Lee

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