✔️AI 개발팀 목표

인공지능을 기반으로 사내의 다양한 문제들을 발굴 및 해결

📄연구 및 개발 성과물

논문

  1. Tae-Hoon Yong, "DDUNet: Dual Decoder U-Net for anatomical structures segmentation in panoramic radiographs”, International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2023), 2023
  2. Tae-Hoon Yong, "Knowledge Distillation-based CNN for Anatomical Structure Segmentation in CBCT images”, International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2023), 2023
  3. Tae-Hoon Yong, "Denoising Diffusion Probabilistic Models-based Synthetic Image-guided Anomaly Detection of Brain Tumor in MRI images”, International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2023), 2023
  4. Tae-Hoon Yong and Byungsun Choi*, “Automatic Detection and Visualization of Inferior Alveolar Nerve and Mental Foramen using Deep learning methods on Cone-Beam CT Images”, Image Processing and Image Understanding (IPIU 2023), 2023
  5. 용태훈, “CBCT 영상에서 액티브 러닝을 이용한 해부학적 구조물 다중분할 성능 비교”, Image Processing and Image Understanding (IPIU 2023), 2023
  6. 김완†, 용태훈†, 박민선, 최병선*, “파노라마 방사선 영상에서의 트랜스포머 구조 기반 개별 치아 분할”, Image Processing and Image Understanding (IPIU 2023), 2023
  7. 안홍기†, 용태훈†, 최병선*, “고해상도 두부계측 방사선 영상에서 두부규격 계측점 검출”, Image Processing and Image Understanding (IPIU 2023), 2023
  8. Hong Gi Ahn, Wan Kim, Jae-Hwan Han and Tae-Hoon Yong*, “3D Teeth Scan Segmentation and Labeling Challenge MICCAI2022”, Medical Image Analysis (IF 13.838, SCI), 2022 (Proceeding)
  9. Hong Gi Ahn†, Tae-Hoon Yong†, Wan Kim, and Byungsun Choi*, “Deep high-resolution representation learning for landmark detection in cephalometric X-ray images”, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022) workshop, 2022
  10. Hong Gi Ahn, Wan Kim, Jae-Hwan Han and Tae-Hoon Yong*, “3D Teeth Scan Segmentation and Labeling Challenge MICCAI2022”, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2022) grand challenges, 2022
  11. Tae-Hoon Yong, Hong Gi Ahn, Wan Kim, and Byungsun Choi*, “Deep Learning based Inferior Alveolar Nerve Detection on Cone-Beam CT Images”, International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2022), 2022
  12. [우수 포스터 논문상] Hong Gi Ahn, “초음파 영상에서의 소아 신장 용적 측정을 위한 딥러닝 기반의 분할 방법”, the Korean Society of Medical and Biological Engineering (KOSOMBE 2022), 2022
  13. Tae-Hoon Yong, “QCBCT-Net: Direct Bone Mineral Density Mesaurement from Quantitative Cone-Beam CT using Deep Learning”, Korean Academy of Oral and Maxillofacial Radiology (KAOMR 2021), 2021

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