Biomedical Signal Processing
Laboratory

Advancing Healthcare Through Innovative Signal Processing Research

Laboratory Introduction

We are dedicated to advancing biomedical signal processing technologies

Welcome to BSP Lab

Biomedical Signal Processing Laboratory is an open research community at MODULABS. We research and develop biomedical signal processing technologies, and collaborate on medical data analysis, AI-based diagnostic systems, and wearable healthcare technologies.

Our community explores disease diagnosis and health monitoring systems through multimodal healthcare data including biomedical signals, medical images, and clinical text. We investigate new possibilities in healthcare by leveraging machine learning and deep learning technologies.

💡 Virtual Office - We operate as an online research community. Everyone is welcome to join!

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Team Members

Research Fields

Our main research focuses and areas of expertise

Biomedical Signal Processing

Processing, analysis, and disease diagnosis using biosignals (ECG, EEG, EMG, etc.)

Medical Image Processing

Medical image (ultrasound, CT, MRI, X-ray, etc.) analysis, segmentation, and disease detection

Deep Learning for Healthcare

Deep learning-based medical data analysis, diagnostic and predictive model development

Wearable Biosensors

Wearable sensor-based biosignal measurement and real-time monitoring

Medical Ultrasound Imaging

Ultrasound image processing, beamforming, and high-quality imaging techniques

Point-of-Care Devices

Development of portable medical devices and compact diagnostic systems

Researchers

Meet our talented research team

Lab Members

Hyunwoo Cho, Ph.D.

Lab Director

Postdoctoral Associate
SMART Centre, Massachusetts Institute of Technology (MIT)

Research Interests:
Ultrasound Imaging, Biomedical Signal Processing, Wearable Sensors, AI in Healthcare, Medical Imaging

Seunghyeok Hong, Ph.D.

Lab Faculty Member

Assistant Professor
Hankuk University of Foreign Studies

Research Interests:
Vision Language Model, Physical AI, Healthcare

Hyun Il Lee, M.D., Ph.D.

Clinical Faculty Member

Professor
School of Medicine, Inje University

Clinical Expertise & Research Interests:
Orthopedic Surgery, Medical Imaging, Artificial Intelligence in Healthcare, Musculoskeletal Disorders

Sehwan Moon, Ph.D.

Lab Member

Researcher
Electronics and Telecommunications Research Institute (ETRI)

Research Interests:
Medical AI, LLM, Multimodal Learning, Bioinformatics

Minsung Cho

Lab Member

Ph.D. Student
Department of Electronic Engineering, Sogang University

Research Interests:
Biomedical Signal Processing, Portable Ultrasound System, Focused Ultrasound, Ultrasound Localization Microscopy

Jaeseok Lee

Lab Member

M.S. Student
Department of Electronic Engineering, Sogang University

Research Interests:
Biomedical Signal Processing, Continual Learning, Dynamic/Self-Organizing Neural Networks

Yeeun Kwon

Lab Member

M.S. Student
Department of Electronic Engineering, Sogang University

Research Interests:
Biomedical Signal Processing, Ultrasound Imaging, Quantitative Ultrasound, Medical AI, Medical Imaging

Hyokwang Kim

Lab Member

Researcher
JLK

Research Interests:
Medical Image Analysis, Stroke Diagnosis, Clinical Decision Support System, Medical Report Generation

Sooin Hwang

Lab Member

M.S. Student
Department of Industrial Design Engineering, Korea University of Technology and Education (KOREATECH)

Research Interests:
Neuroergonomics, Human Factors, Safety, Healthcare, Physiological & Biometric Measurements

Soo Yong Kim

Lab Member

Researcher
Seoul National University

Research Interests:
Medical Image Analysis, Respiratory Sound Classification, Image Generation, Video Classification

Wansoo Kim

Lab Member

Independent Researcher
BSP Lab., MODULABS

Research Interests:
Computational Psychiatry, Small Language Models, Reinforcement Learning

Bosung Sonn

Lab Member

Part-time SoC Validation Assistant
DEEPX

Research Interests:
Cyber Physical Systems, Novel View Synthesis, 3D Reconstruction, Real-time Rendering

Myeonghoon Ryu

Lab Member

Independent Researcher
BSP Lab., MODULABS

Research Interests:
EEG-based Music Perception and Cognition, Efficient Deep Learning Architectures for EEG

Keo Ryu

Lab Member

Principal Research Engineer, Software Architect
LG Electronics R&D

Research Interests:
Healthcare (Allergy/Autoimmune), AI for Social Good, Agentic AI, GCN/GNN

Hye Yoon Kwon

Lab Member

Backend & AI Systems Engineer
Adjunct Professor, Korea Polytechnics

Research Interests:
Large-Scale Backend Architecture for AI Services, Cloud Infrastructure & MLOps for Medical AI, Data Engineering for Biomedical Research, AI Service Deployment & Pipeline Automation, Accessible Healthcare IT Systems

Join Us!

We're looking for passionate researchers interested in biomedical signal processing and AI in healthcare.

Contact Us

Join Our Research Community

BSP Lab welcomes everyone interested in biomedical signal processing and medical AI. Students, researchers, engineers - anyone can research and learn together regardless of background.

Apply at MODULABS Contact Us

Papers & Presentations

Our recent research papers and conference presentations

† denotes co-first authorship

2025

Intravascular ultrasound imaging with directional synthetic aperture focusing and coherence factor weighting

Cho, H., Lee, J., Park, D., Chang, J., Jang, J., & Yoo, Y.

Ultrasonography, 44(6), 483, 2025

2025

Numerical investigation of optimal transmission-reception conditions for aliasing-free ultrasound localization microscopy

Cho, H., Lee, J., Park, S., & Yoo, Y.

Ultrasonics, 154, 107704, 2025 (JCR-IF: 4.1, Top 11.0% in Acoustics)

2025

Fully automated bladder volume measurement system using a T-shaped ultrasound probe and free-hand motion-based 3D reconstruction

Park, D.†, Cho, H.†, Song, I., Jang, J., & Yoo, Y.

IEEE Access, 13, 80247, 2025

2025

Deep learning model for CT-based adrenal gland volume determination and normal reference definition in dogs

Park, S.†, Cho, H.†, Lee, K., & Yoon, H.

Pakistan Veterinary Journal, 45(1), 320, 2025 (JCR-IF: 5.4, Top 2.1% in Veterinary Sciences)

2024

Development of a deep learning model for automatic detection of narrowed intervertebral disc space sites in caudal thoracic and lumbar lateral X-ray images of dogs

Park, J.†, Cho, H.†, Ji, Y., Lee, K., & Yoon, H.

Frontiers in Veterinary Science, 11, 1453765, 2024 (JCR-IF: 2.6, Top 12.9% in Veterinary Sciences)

2025

EdgeSRIE: A hybrid deep-learning framework for real-time speckle reduction and image enhancement in portable ultrasound systems

Cho, H., Lee, J., Kang, J., & Yoo, Y.

IEEE International Ultrasonics Symposium (IUS), 2025

2025

DeepStitch: A self-supervised deep neural network for seamless image reconstruction of robot-assisted ultrasound system

Kim, E., Cho, H., & Yoo, Y.

IEEE International Ultrasonics Symposium (IUS), 2025

2025

DeepTAI: Deep learning-based twinkling artifact imaging for microcalcification detection in breast ultrasound

Lee, J., Cho, H., Park, S., & Yoo, Y.

IEEE International Ultrasonics Symposium (IUS), 2025

2025

A new compounding method using spatiotemporal features for twinkling artifact imaging

Lee, E., Cho, H., Yoo, Y.

IEEE International Ultrasonics Symposium (IUS), 2025

2025

A new vector Doppler technique for cost-effective hemodynamic monitoring

Yoo, J., Han, S., Park, S., Song, I., Cho, H., & Yoo, Y.

IEEE International Ultrasonics Symposium (IUS), 2025

Looking for Ideas!

We're exploring various research directions and welcome your ideas

Share Your Research Ideas!

BSP Lab is exploring various research ideas in the field of biomedical signal and image processing.
Do you have a topic or idea you'd like to research together?

Contact Us Join MODULABS

Current Areas of Interest: Medical Ultrasound Imaging, Deep Learning for Healthcare, Wearable Biosensors, Medical Image Analysis

News

Recent updates from our lab

20
Oct 2025

🎉 BSP Lab Launched!

The Biomedical Signal Processing Laboratory has officially opened as a public research community at MODULABS. We welcome everyone interested in biomedical signal processing and medical AI!

Join us

Contact

Contact us for research collaboration and inquiries

Location

Virtual Office
Online-based Virtual Lab
BSP Lab at MODULABS

Response Time

Within 48 hours
(for email inquiries)

Office Hours

Monday - Friday
9:00 AM - 6:00 PM

Send us a message