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Qjie Wang

qjiewang

  •  China
  •  University Of Science And Technology Of China
  •  Automation and control
Statistics
  • Member for 3 years
  • 3 challenge submissions

Activity Overview

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LUNA16
Challenge User

The LUNA16 challenge: automatic nodule detection on chest CT

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FLARE21
Challenge User

Fast and Low GPU memory Abdominal oRgan sEgmentation Challenge

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STOIC2021 - COVID-19 AI Challenge
Challenge User

COVID-19 Artificial Intelligence Challenge: automated diagnosis, and prognostic evaluation based on computed tomography

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AIROGS
Challenge User

Artificial Intelligence for RObust Glaucoma Screening Challenge

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CoNIC 2022
Challenge User

Colon Nuclei Identification and Counting Challenge 2022

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Diabetic Retinopathy Analysis Challenge MICCAI2022
Challenge User

Diabetic Retinopathy (DR) lesions segmentation, image quality assessment and classification of proliferatived DR (PDR) and non-PDR in ultra-wide optical coherence tomography angiography mosaic (UW-OCTA-M) images

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Multi-site, Multi-Domain Airway Tree Modeling (ATM’22)
Challenge User

Airway segmentation is a crucial step for the analysis of pulmonary diseases including asthma, bronchiectasis, and emphysema. The accurate segmentation based on X-Ray computed tomography (CT) enables the quantitative measurements of airway dimensions and wall thickness, which can reveal the abnormality of patients with chronic obstructive pulmonary disease (COPD). Besides, the extraction of patient-specific airway models from CT images is required for navigatiisted surgery.