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Muhammad Ridzuan

mfarnas

  •  United Arab Emirates
  •  Mohamed bin Zayed University of Artificial Intelligence
  •  Machine Learning
Statistics
  • Member for 2 years, 9 months
  • 69 challenge submissions
  • 1 algorithms run

Activity Overview

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CoNIC 2022
Challenge User

Colon Nuclei Identification and Counting Challenge 2022

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Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis
Challenge User

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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.

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CHAIMELEON Open Challenges
Challenge User

A unique opportunity for scientists to advance cancer research with AI. The CHAIMELEON Open Challenges invites participants to collaborate to develop and train new AI-powered solutions driving innovation in cancer diagnosis and treatment.

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The LEOPARD Challenge
Challenge User