Chung Hyuk Park
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    • Research Themes >
      • HUMAN-ROBOT INTERACTION (HRI) IN ASSISTIVE ROBOTICS
      • MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE (AI) FOR HRI
      • HRI IN TELE-MEDICAL ROBOTICS
      • AI FOR MEDICAL ASSISTIVE ROBOTICS
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    • Robots for Autistic Adolescents
    • AI-based IADL Analysis for AD/MCI Patients
    • Intelligent Haptic Teleoperation for Microrobots
    • Real-time Nerve Tissue Detection and Visualization
    • Robotic Surgery Assistance: Surgical Step Recognition & Prediction
    • Explainable AI for Neuroscience
    • Emotion detection with BCI
    • Music-based Interactive Robots for ASD
    • Robotic Learning
    • Medical VR Simulator
    • Haptic Telepresence
    • Assistive Robotics for VI
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​Real-time Nerve Tissue Detection and Visualization

Collaborator: Dr. Jaepyung Cha (Children's National Hospital)
Publications and Related Outcomes:
Xie, Baijun, Gary Milam, Bo Ning, Jaepyeong Cha, and Chung Hyuk Park. "DXM-TransFuse U-net: Dual Cross-Modal Transformer Fusion U-net for Automated Nerve Identification." Computerized Medical Imaging and Graphics (2022): 102090.

Ning, Bo, Wan Wook Kim, Itai Katz, Chung Hyuk Park, Anthony D. Sandler, and Jaepyeong Cha. "Improved nerve visualization in head and neck surgery using mueller polarimetric imaging: Preclinical feasibility study in a swine model." Lasers in surgery and medicine 53, no. 10 (2021): 1427-1434.

Awards:
2022 Technology Commercialization Innovation Competition (People’s Choice), AI-Driven Real-time Nerve Detection and Visualization for Surgical Precision, GW TCO, 2022.

UKC 2022 Paper Award (BME), 35th US-Korea Conference on Science, Technology and Entrepreneurship.
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Patents:

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