8000 HongYongGi (YONGGI HONG) · GitHub
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HongYongGi/README.md

Yonggi Hong

💻 Experience

  • Tesser, Seoul, Korea - Medical Imaging Artificial Intelligence Company
  • MedicalIP, Seoul, Korea - Medical Imaging Artificial Intelligence Company
  • Ganchon University MMMIL(Multi-Modality Medical Image Lab), Incheon, Korea - Master's researcher
  • Gachon University MMMIL(Multi-Modality Medical Image Lab), Incheon, Korea - Undergraduate Student Researcher

🎓 Education

  • Gachon University, Incheon, Korea - Master of Biomedical Engineering
  • Gachon University, Incheon, Korea - Bachelor of Biomedical Engineering

Interest

I am currently interested in Artificial General Intelligence, Artificial intelligence in medical Imaging(PET, CT, MRI, X-ray, etc.), Computer Vision, Natural Language Processing, RestAPI Dev.

I have studied medical imaging as a major from bachelor's to master's degree. During my master's period, I studied PET-CT as my major. I have done research on Cephalogram landmark detection, Identification of Breathing Patterns through EEG Signal Analysis Using Machine Learning, Malocclusion Classification using Deep Learning, Development of Artificial Intelligence-Based Evolutionary Image Reconfiguration Technology for Improving Spatial Resolution of Nuclear Medical Imaging Systems.

Publications

  • Hong, Yong-Gi, Hang-Keun Kim, Young-Don Son, and Chang-Ki Kang. 2021. "Identification of Breathing Patterns through EEG Signal Analysis Using Machine Learning" Brain Sciences 11, no. 3: 293. https://doi.org/10.3390/brainsci11030293

  • Yonggi Hong. "Classification of malocclusion based on deep learning using pseudo-relative distance between first molars." Domestic master's thesis Gachon University Graduate School, 2022. Incheon

Participating projects

Tesser, Seoul, Korea

1. Lung Cancer Tracking project
    * period : 2023.05 ~ 2023.12
    * role   : Data preprocessing, Training, Inference, GUI development

2. Breast Cancer MRI Segmentation project
    * period : 2023.05 ~ now
    * role   : Data preprocessing, Training, Inference, Postprocessing

3. Breast Cancer Surgery Planning project
    * period : 2023.05 ~ now
    * role   : Data preprocessing, Training, Inference, Postprocessing

4. Medical Twin CT Project
    * period : 2023.05 ~ now
    * role   : Data preprocessing, Training, Inference, Postprocessing

MedicalIP, Seoul, Korea

1. Medical Image Segmentation project
    * period : 2022.03 ~ 2023.03
    * role   : Data preprocessing, Training, Inference
    * Target task
        * Total Organ Segmentation - Skin, Bone, Muscle, AVF, OF(SF), IO, BSC(CNS)
        * Liver Spleen Segmentation
        * Adrenal gland Segmentation
        * Brain Tumor Segmentation
        * Spine Segmentation - C1~C7,T1~T12, S1~S5
        * Brain CT ICH Segmentation 
        * Lung, Fissure Segmentation
        * Lower body Segmentation - Femur, Patella, Tibia, Fibula, Talus, Calcaneus, Footbones

2. PET-CT Registration project
    * period : 2022.06~2022.07
    * role   : Data preprocessing, process build
    * https://github.com/HongYongGi/PET-CT-SUV-measurement

3. Multi-phase CT registration project
    * period : 2022.04~2023.01
    * role   : registration model development, Ncc preprocessing development
    * Multi-phase(Pre, Artery, Portal, Delay) CT volume registration project

4. Respiratory registration project
    * period : 2022.03~2022.09
    * role   : registration model development, Prone-Supine registration Train, Inference
    * Inhalation Exhalation CT volume registration project

5. TiSepX product development 
    * period : 2022.02 ~ 2023.03
    * role   : New GAN model development, CT -> X-ray preprocessing development

Ganchon University MMMIL(Multi-Modality Medical Image Lab), Incheon, Korea

1. Dental AI project
    * period : 2018.03~2022.03
    * role   : AI model development, RestAPI framework development, Create Homepage
    * AI model development
        * Cephalogram 46 landmark detection model
        * Malocclusion class classification model

    * RestAPI framework development
        * Cephalogram landmark detection RestAPI
        * Malocclusion class classification RestAPI
        * Tongue Cancer GradCAM RestAPI
    
    * Homepage
        * Dental Homepage

2. EEG Breathing Task classification Project
    * period : 2018.06~2020.02
    * role   : EEG data preprocessing, Machine Learning Model development

3. PET SGER Project
    * period : 2018.03~2022.02
    * role   : PET Sinogram to Reconstruction Image Deep Learning model development, PET phantom design and fabrication, PET image deblurring, PET image denoising

Misc. I've been playing the piano since I was 7 and can play other instruments too. I am still active as a flute part in the orchestra. He also regularly holds piano concerts.

I also enjoy playing double piano pieces with others. Let me know if you would like to play music with me.

Pinned Loading

  1. EEG_ML EEG_ML Public

    Jupyter Notebook 1

  2. hyg_utils hyg_utils Public

    raw2nii

    Python 1

  3. flax flax Public

    Forked from google/flax

    Flax is a neural network library for JAX that is designed for flexibility.

    Python 1

0