Overview
Work History
Education
Skills
Data Experience
Cross Functional Collaboration
Phone
Patent
Timeline
Generic
Yeonghun Jo

Yeonghun Jo

AI Research Engineer
Seoul

Overview

3
3
years of professional experience
22
22
years of post-secondary education

Work History

AI Research Engineer

LNRobotics
09.2022 - Current
  • Developed deep learning-based detection and segmentation models for interventional instruments such as guidewires, catheters, and vessels used in coronary interventions.
  • Implemented models including U-Net, DeepLabV3+, YOLOv8 using PyTorch and OpenCV.
  • Created labeled datasets: over 5,000 bounding box annotations and 1,000 segmentation masks using real clinical data.
  • Developed an automated coronary vessel recognition algorithm for contrast-enhanced fluoroscopic images.
  • Built 2D Coronary Roadmap algorithms to align guidewire traces with vessel maps and compensate for cardiac motion.
  • Developed a direction prediction algorithm for guidewire navigation and successfully validated autonomous control through in-vivo experiments using porcine coronary models.
  • Integrated real-time guidance with robotic systems for commercialization.

AI Research Intern

LNRobotics
01.2022 - 08.2022
  • Annotated more than 5,000 images with bounding boxes for guidewire detection.
  • Participated in early-stage AI model development and evaluation.
  • Refined labeling protocols with clinical expert input.
  • Preprocessed medical image datasets for training pipelines.

Education

University of Ulsan - Biomedical Engineering

University of Ulsan
04.2001 - 02.2023

Skills

  • Python

  • PyTorch

  • OpenCV

  • NumPy

  • SciPy

  • Skimage

  • Matplotlib

  • Git

  • Ubuntu

  • Windows

  • Jupyter

  • QT-based UI prototypes

Data Experience

  • Labeled over 5,000 bounding boxes and 1,000 vessel segmentation masks from clinical data.
  • Managed training/validation datasets and real-time pipelines.
  • Applied data augmentation methods to overcome the limited availability of medical data.

Cross Functional Collaboration

  • Collaborated with interventional cardiologists for clinical relevance.
  • Worked with hardware, electrical, and regulatory teams to support product development.

Phone

+82, 10-9757-1572

Patent

  • A DEVICE FOR CONTROLLING A SURGICAL ROBOT THAT CONTROLS THE MOVEMENT OF A GUIDE WIRE, Registration in progress
  • APPARATUS AND METHOD FOR TRAINING A MACHINE LEARNING MODEL FOR PREDICTING GUIDEWIRE GEOMETRY AND DIRECTION OF TRAVE, Registration in progress

Timeline

AI Research Engineer

LNRobotics
09.2022 - Current

AI Research Intern

LNRobotics
01.2022 - 08.2022

University of Ulsan - Biomedical Engineering

University of Ulsan
04.2001 - 02.2023

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Yeonghun JoAI Research Engineer