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2021314087

  •  South Korea
  •  Yonsei University
  •  Electrical and Electronic Engineering
Statistics
  • Member for 2 years, 4 months
  • 16 challenge submissions

Activity Overview

Decathlon-10 Logo
Decathlon
Challenge User

The Medical Segmentation Decathlon challenge tests the generalisability of machine learning algorithms when applied to 10 different semantic segmentation task.

crossMoDA Logo
Cross-Modality Domain Adaptation Image Segmentation - 2021
Challenge User

The CrossMoDA challenge 2021 introduces the first large and multi-class medical dataset for unsupervised cross-modality Domain Adaptation.

FLARE22 Logo
MICCAI FLARE 2022
Challenge User

MICCAI 2022 Fast and Low-resource semi-supervised Abdominal oRgan sEgmentation (FLARE) Challenge

AMOS22 Logo
Multi-Modality Abdominal Multi-Organ Segmentation Challenge 2022
Challenge User

ARCADE Logo
ARCADE-MICCAI2023
Challenge User

MultiCenterAorta Logo
SEG.A. - Segmentation of the Aorta
Challenge User

Segmentation, modeling and visualization of the arterial tree are still a challenge in medical image analysis. The main track of this challenge deals with the fully automatic segmentation of the aortic vessel tree in computed tomography images. Optionally, teams can submit tailored solutions for meshing and visualization of the vessel tree.

TopCoW23 Logo
Topology-Aware Anatomical Segmentation of the Circle of Willis
Challenge User

Segment the Circle of Willis (CoW) vessel components for both CTA and MRA

LUNA25 Logo
The LUNA25 Challenge
Challenge User

HECKTOR25 Logo
HEad and neCK TumOR Lesion Segmentation, Diagnosis and Prognosis
Challenge User

HECKTOR 2025 is the next iteration of a medical imaging challenge focused on improving automated analysis of head and neck cancer using multimodal PET/CT data. The challenge features three complementary tasks that span the clinical workflow: automatic detection and segmentation of primary tumors and lymph nodes, prediction of recurrence-free survival using imaging and clinical data, and diagnosis of HPV status, which is crucial for treatment decisions. The 2025 edition significantly expands on previous challenges with a larger dataset exceeding, refined evaluation metrics that better assess both detection and segmentation capabilities, and the addition of radiotherapy planning dose maps as an information channel. This challenge aims to advance the development of clinical tools that can aid in treatment planning, outcome prediction, and diagnosis in head and neck cancer patients, ultimately supporting more personalized patient management approaches.