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    • An Introduction to Statistical Learning
      • 1. Introduction
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      • 7. Moving Beyond Linearity
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      • Course 1
    • Project
    • Paper Review
  1. [Review] A Comprehensive Overhaul of Feature Distillation
    2020.04.26
  2. [Review] UPSNet: A Unified Panoptic Segmentation Network
    2019.05.21
  3. [Review] Cascaded FCN - Automatic Liver and Tumor Segmentation of CT and MRI Volumes Using Cascaded Fully Convolutional Neural Networks
    2018.12.07
  4. [Review] 3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection (3DCE)
    2018.12.04
  5. [Review] 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
    2018.11.16
  6. [Review] Detection-aided liver lesion segmentation using deep learning
    2018.11.09
  7. [Review] Mask R-CNN
    2018.10.31
  8. [Review] DeepLabv3+ : Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
    2018.10.28
  9. LightGBM: A Highly Efficient Gradient Boosting Decision Tree
    2018.07.23
  10. 2. Matrix & Gaussian Elimination
    2018.07.11
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연세대학교 빅데이터 학회 YBIGTA
前 Naver Clova Face Team Intern
前 삼성서울병원 Medical AI Researcher
現 세브란스병원 영상의학과 CCIDS Medical AI Researcher
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