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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
    • Signup for OSIC Updates
    • Share Your OSIC Research
  • CONTACT US

Published Research

Computed tomography machine learning classifier correlates with mortality in interstitial lung disease Read Post »

Towards the Adoption of Quantitative Computed Tomography in the Management of Interstitial Lung Disease Read Post »

Towards the Adoption of Quantitative Computed Tomography in the Management of Interstitial Lung Disease Read Post »

A Machine Learning System to Indicate Diagnosis of Idiopathic Pulmonary Fibrosis Non-Invasively in Challenging Cases Read Post »

Revolutionizing Pulmonary Diagnostics: A Narrative Review of Artificial Intelligence Applications in Lung Imaging Read Post »

Enhanced Multimodal Timely Prediction of Pulmonary Fibrosis Progression with Uncertainty Estimation from Chest CT Images and Clinical Metadata Read Post »

Lung Parenchyma Segmentation Based on U-Net Fused with Shape Stream Read Post »

Application of Neural-Controlled Differential Equations in Disease Progression Modeling Using Irregularly Sampled Multimodal Data Read Post »

Vision Intelligence Assisted Lung Function Estimation Based on Transformer Encoder-Decoder Network with Invertible Modeling Read Post »

Neural Network Based Method for the Survival Analysis of Idiopathic Pulmonary Fibrosis Patients from a Baseline CT Acquisition Read Post »

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