Skills

AI/ML Research Engineer @ XCath. ∙ 2024.10 - present

I designed and implemented the entire image-based algorithmic pipeline for an autonomous endovascular navigation system — as a sole developer. This project connects medical imaging, geometric reasoning, simulation, and physical AI into a single end-to-end system. It was built with the goal of enabling safe, intelligent, and scalable neurovascular interventions.

Deep Learning with Medical Image

• 2D Fluoroscopy Segmentation / 3D CTA Segmentation
• 2D Video Segmentation, Detection and Streaming
  • Role : Research and Development
  • Tool : IGX, GStreamer, YOLO Holoscan
• 2D/3D Synthetic Medical Image Generation
• 2D-3D Registration

Algorithms with Medical Image

• Skeletonization & Path Finding
• 3D Slicer module

Simulation with Medical Image

• Blood Flow Dynamics
• Neuro Intervention

AI Research Engineer @ Hutom Inc. ∙ 2022.02 - 2024.09

Deep Learning with Medical Image

• Product Name : RUS (RUS-Stomach, RUS-Kidney, RUS-Lung, RUS-Colon) Please open the toggle for RUS Introduction Video (URL1)(URL2)