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Lena Philipp

lphilipp

  •  Netherlands
  •  Radboudumc
  •  Radiology and Nuclear Medicine
Organizations
Statistics
  • Member for 3 years, 4 months
  • 42 challenge submissions
  • 60 algorithms run

Activity Overview

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3D Body Composition
Reader Study Editor

The purpose of this reader study is to evaluate the effort required to correct automatically generated segmentation masks for body composition analysis.

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Universal Lesion Segmentation Challenge '23
Challenge Editor

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UNICORN
Challenge Editor

Grand challenge on benchmarking vision-language foundation models in the digital pathology and radiology domain

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CORADS-AI
Algorithm User

Segments pulmonary lobes and lesions and computes the CORADS and CT Severity Score from a non-contrast CT scan.

Body composition Logo
Body composition
Algorithm Editor

Locates L3 in a CT scan and measures the area of subcutaneous, visceral, and intermuscular adipose tissue and smooth muscle. The average Hounsfield Units of each area are also computed.