About

AI Research Engineer

More Information

Google Scholar: link

Publications

Papers

  • “Why is the winner the best?”, CVPR 2022
  • “Amplifying action-context greater: image segmentation-guided intraoperative active bleeding detection”, MICCAI Workshop 2022, CMBBE 2022 (first author)
  • “Biomedical image analysis competitions: The state of current participation practice”, arxiv 2022
  • “Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment”, MICCAI 2022 (co-first)
  • “hSDB-instrument: instrument localization database for laparoscopic and robotic surgeries”, MICCAI 2021
  • “Blockwise temporal-spatial pathway network”, ICIP 2021 (first author)
  • “Deep active learning with augmentation-based consistency estimation”, arxiv 2020 (first author)
  • “Memory-efficient models for scene text recognition via neural architecture search”, WACV Workshop 2020 (co-first)
  • “What Is Wrong with Annotation? Quantifying the Annotation Quality via Noisy Label Learning”, CKAIA 2020 (co-first)

Patents

  • “Apparatus and method for providing surgical environment based on a virtual reality”, US Patent link
  • “Method for predicting paroxysmal atrial fibrillation in normal sinus rhythm electrocardiogram state by using deep learning”, WO Patent link

Challenges

  • MICCAI 2021 Endovis challenge
    • HeiChole Surgical Workflow Analysis and Full Scene Segmentation (HeiSurF) link
    • I participated to Semantic Segmentation task, and won the 1st place

Contact me

sghong977@gmail.com

seulgi_hong@outlook.com