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Jonghoon An

jjonghoon0225

  •  South Korea
  •  Soongsil University
  •  Vision and Machine Learning Laboratory, School of Software
Statistics
  • Member for 2 years, 1 month
  • 4 challenge submissions

Activity Overview

HaN-Seg2023 Logo
The Head and Neck Organ-at-Risk CT & MR Segmentation Challenge
Challenge User

A semantic multimodal segmentation challenge comprising 30 organs at risk

AortaSeg24 Logo
Multi-Class Segmentation of Aortic Branches and Zones in CTA
Challenge User

3D Segmentation of Aortic Branches and Zones on Computed Tomography Angiography (CTA)

ToothFairy3 Logo
ToothFairy3: Multi-Class Segmentation in CBCT Volumes
Challenge User

ToothFairy3, part of the ODIN2025 challenge cluster at MICCAI2025, advances CBCT segmentation with an expanded 77-class dataset and a new emphasis on computational efficiency. It introduces two tasks: a runtime-aware multi-structure segmentation and a novel interactive track for Inferior Alveolar Canal (IAC) segmentation using minimal user input. The challenge supports the development of both automated and prompt-based interactive AI tools to enhance clinical workflows in dentistry and maxillofacial surgery.