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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
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    • Press
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    • The Lung Lab Podcast
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A multi-stage 3D convolutional neural network algorithm for CT-based lung segment parcellation

  • July 23, 2025
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Uncertainty-based Interactive 3D Medical Image Segmentation

  • July 16, 2025
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Effect of Slice Thickness on Quantitative Analysis of Interstitial Lung Disease: A Retrospective Volumetric Chest CT Study

  • May 27, 2025
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E-Lung Biomarkers are Associated with Future Progressive Pulmonary Fibrosis Independent of UIP Status on CT

  • May 21, 2025
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Single Timepoint Prediction Score on High-resolution CT: Association with Progression-free Survival Interstitial Lung Disease

  • May 20, 2025
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Multimodal Machine Learning for Prognostic Modelling in Idiopathic Pulmonary Fibrosis

  • April 21, 2025
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A Systematic Review of the Role of Quantitative CT in the Prognistication and Disease Monitoring of Interstitial Lung Disease

  • April 1, 2025
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The Current State of Artificial Intelligence in Radiology: A Review of the Basic Concepts, Applications, and Challenges

  • March 31, 2025
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4D-VQ-GAN: A World Model for Synthesizing Medical Scans at Any Time Point for Personalized Disease Progression Modeling of Idiopathic Pulmonary Fibrosis

  • March 27, 2025
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From Images to Clinical Insights: An Educational Review on Radiomics in Lung Diseases

  • March 18, 2025
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  • In The News 23
  • Press Release 6
  • Published Research 91
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