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Open Source Imaging Consortium (OSIC)
  • ABOUT OSIC
    • Our Goals
    • Board of Directors
    • Working Groups
    • Institutional Partners
  • OSIC CLOUD
    • About OSIC Cloud
    • Member Support
  • INITIATIVES
    • Events
    • The Lung Lab Podcast
    • CenTime
    • Challenges
      • Member Challenge
      • Kaggle Challenge #1
      • Kaggle Challenge #2
      • Imaging Challenges
    • Project OPUS
  • MEMBERSHIP
  • NEWSROOM
    • Press
    • Blog
    • The Lung Lab Podcast
    • Videos
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  • CONTACT US

Published Research

Evolving landscape of imaging-based evaluation in systemic autoimmune rheumatic disease-associated interstitial lung disease: from visual assessment to quantitative artificial intelligence-assisted evaluation Read Post »

Lung cancer screening with AI can discover cures for many early diseases. A public utility can make sure it happens Read Post »

Quantitative CT Analysis of Airways and Parenchyma in Pulmonary Fibrosis Read Post »

Robust Trachea Segmentation from CT Imaging Using Fully Automated and Prompt-Based Models Read Post »

FibNet: A Deep Learning-Based Interpretable System for Automated Diagnosis of Pulmonary Fibrosis Read Post »

Automated diagnosis of usual interstitial pneumonia on chest CT via the mean curvature of isophote Read Post »

Validation of a deep learning approach for epicardial adipose tissue segmentation in computed tomography Read Post »

Fibrotic and vascular abnormalities quantified by an AI-based model are associated with outcomes in patients with idiopathic pulmonary fibrosis Read Post »

Prognostic model for idiopathic pulmonary fibrosis using context-aware sequential-parallel hybrid transformer and enriched clinical information Read Post »

Applications of Medical Artificial Intelligence Read Post »

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