https://docs.google.com/presentation/d/1C_gmC7ADBPjLZ8LwRAIMG44JII493BmxHs051kRlH6o/edit?usp=sharing

Research Engineer @ Hutom Inc. ∙ 2022.02 - present

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)
• CT Segmentation

  • Project # 1 : Multi-organ segmentation

    Multi-Organ Segmentation on CT

    • Role : Research and Development
      • Reproduce and Modify SOTA model (previous classes : Liver, Spleen, Pancreas, Stomach, Gallbladder → current classes : previous + Abdominal wall, Skin, Rib)
      • Release Inference Code and Model
    • Result : Implemented into in-house tool

  • Project # 2 : Artery / Vein Segmentation

    Vessel Segmentation on CT

    • Role : Research and Development
      • Train Models and Release Code and Model
        • Design the model architectures
        • Design the loss functions
      • Image Processing for Better Performance
    • Result : Implemented into in-house tool

  • Project # 3 : Fat/Muscle segmentation

    • Role : Research and Development
      • Model Training
      • Axis Tilting for generalization
      • Release Inference Code and Model
    • Result : Implemented into in-house tool and closed the project

  • Project # 4 : Lung Segmentation / Kidney Segmentation

    • Role : Outsourcing Management
      • Evaluate model performance at each project phase
      • Write a report
      • Modify inference codes
    • Result : Implemented into in-house tool and closed the outsourcing

  • Project # 5 : Vessel Branch Extraction

    • Role : Research

      • Algorithm Design and Test

      Vessel Branch Extraction

Medical Image Processing

• Surgical & Clinical Features Extraction for Image Analysis / Clinical Findings

  • Project # 5 : Vessel Physics

    Vessel Physics

    • Role : Research and Development
      • Vessel Tortuosity Measurement (VTK, VMTK, Python)
    • Result : (study ongoing)

    Vessel Network Extraction with VMTK

  • Project # 6 : Biomarkers from CT

    Image Markers

• 3D image handling

  • pre-/post-processing : Resampling, Windowing, Morphological operations, Connect-components, Sorting objects by volume, Skeletonization, and so on…

Medical Image Management

• DICOM handling

  • Scout image filtering

  • CT Orientation Transform

    CT Orientation Transform

AI Researcher @ Multiple Hospitals ∙ 2020.03 - 2021.11

Deep Learning with Medical Image

• CT Segmentation
  • Project #1: IVUS for Lumen Segmentation
    • Role : Research and Development
      • Train Model
      • Write Paper
    • Result : Wrote Draft of Publication (not published)
  • Project #2: CT for Bone Metastasis Detection / Segmentation
    • Role : Research and Development
      • Reproduce SOTA Detection Model
    • Result : Feasibility test done
  • Project #3: MRI for Muscle Segmentation
    • Role : Research and Development
      • Reproduce SOTA Segmentation Model
    • Result : Feasibility test done

Signal Processing

• Biosignal Processing
  • Project #4: Biosignal Preprocessing
    • Role : Research and Development
      • Data cleaning for EEG, ECG, EMG and others
    • Result : Feasibility test done

AI Researcher @ JLK Inspection ∙ 2019.09-2020.02