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Guo Yuan

GuoYuan

  •  China
  •  Tianjin University
  •  Center for Applied Mathematics, Tianjin University
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  • Member for 1 year, 11 months
  • 43 challenge submissions

Activity Overview

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DRIVE
Challenge User

Develop a system to automatically segment vessels in human retina fundus images.

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PALM
Challenge User

The Pathologic Myopia Challenge (PALM) focuses on the investigation and development of algorithms associated with the diagnosis of Pathological Myopia (PM) and segmentation of lesions in fundus photos from PM patients.

Carotid Artery Vessel Wall Segmentation Challenge
Challenge User

To segment the vessel wall of the carotid artery on black-blood MRI images

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Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis
Challenge User

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Cell Segmentation in Multi-modality Microscopy Images
Challenge User

Weakly Supervised Cell Segmentation in Multi-modality High-resolution Microscopy Images

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autoPET-II
Challenge User

Automated Lesion Segmentation in PET/CT - Domain Generalization

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ARCADE-MICCAI2023
Challenge User

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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.