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Chan Woong Lee

cwlg102

  •  South Korea
  •  Yonsei University College of Medicine
  •  Dept. of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute
Statistics
  • Member for 1 year, 3 months
  • 66 challenge submissions
  • 78 algorithms run

Activity Overview

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CHAOS
Challenge User

In this challenge, you segment the liver in CT data, and segment liver, spleen, and kidneys in MRI data.

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Decathlon
Challenge User

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

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autoPET
Challenge User

Automatic lesion segmentation in whole-body FDG-PET/CT

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

A semantic multimodal segmentation challenge comprising 30 organs at risk

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autoPET-II
Challenge User

Automated Lesion Segmentation in PET/CT - Domain Generalization

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SPIDER
Challenge User

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SegRap 2023
Challenge User

A segmentation challenge with 200 patients (two modalities of CT images, 45 OARs and 2 GTVs).

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PANORAMA
Challenge User

Artificial Intelligence and Radiologists at Pancreatic Cancer Diagnosis in CT

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Universal Lesion Segmentation Challenge '23
Challenge User

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AutoPET III
Challenge User

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Ischemic Stroke Lesion Segmentation Challenge 2024
Challenge User

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Pelvic Bone Fragments with Injuries Segmentation Challenge
Challenge User

Pelvic fracture segmentation in CT and X-ray

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

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

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Automated Identification of Mod-Sev TBI Lesions
Challenge User

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Cross-Organ and Cross-Scanner Adenocarcinoma Segmentation
Challenge User