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Aneeq Zia

aneeqzia_isi

  •  United States of America
  •  Intuitive Surgical
  •  Advanced Product Development
Statistics
  • Member for 4 years
  • 22 challenge submissions
  • 3 algorithms run

Activity Overview

SurgVisDom
Challenge Editor

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CholecTriplet 2021
Challenge User

EndoVis Sub-challenge for Surgical Action Triplet Recognition

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SAGES CVS Challenge (CVS-Challenge)
Challenge User

The SAGES Critical View of Safety (CVS) Challenge is a worldwide computer vision challenge hosted by the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES) aimed at benchmarking artificial intelligence (AI) algorithms for automated assessment of the Critical View of Safety (CVS) in laparoscopic cholecystectomy (LC). AI solutions to achieve automated identification of the CVS for intraoperative assistance would augment the surgeon’s cognitive capacity and attention during LC, which could decrease the surgeon’s workload and enhance the safety of the operation. This will be the first global challenge tasked to assess the CVS in real-time and will lay the foundation for future challenges on tasks around LC safety.

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autoPET
Challenge User

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

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

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Surgical Tool Localization in endoscopic videos
Challenge Editor

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Endoscopic surgical tool localization using tool presence labels
Challenge Editor