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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
    • Project OPUS
  • MEMBERSHIP
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    • Press
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    • The Lung Lab Podcast
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Evolving landscape of imaging-based evaluation in systemic autoimmune rheumatic disease-associated interstitial lung disease: from visual assessment to quantitative artificial intelligence-assisted evaluation

  • April 1, 2026
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Lung cancer screening with AI can discover cures for many early diseases. A public utility can make sure it happens

  • March 9, 2026
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Quantitative CT Analysis of Airways and Parenchyma in Pulmonary Fibrosis

  • March 1, 2026
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Technologies to give a clearer view of the lungs

  • January 28, 2026
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Robust Trachea Segmentation from CT Imaging Using Fully Automated and Prompt-Based Models

  • January 20, 2026
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FibNet: A Deep Learning-Based Interpretable System for Automated Diagnosis of Pulmonary Fibrosis

  • January 1, 2026
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Automated diagnosis of usual interstitial pneumonia on chest CT via the mean curvature of isophote

  • December 26, 2025
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Reply: SABRE for airway quantification in idiopathic pulmonary fibrosis: clarifications, limitations, and next steps

  • November 25, 2025
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C-Path Consortium Adds Gene Editing and Advanced Imaging Leaders to Accelerate Alpha-1 Research

  • November 24, 2025
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Longitudinal Changes in Quantitative Imaging Biomarkers are Associated with Increased Risk of Mortality in Connective Tissue Disease-Related Interstitial Lung Disease

  • November 18, 2025
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  • Press Release 5
  • Published Research 100
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