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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

Disentanglement of Biological and Technical Factors via Latent Space Rotation in Clinical Imaging Improves Disease Pattern Discovery Read Post »

Multi-modal Machine Learning Classifier for Idiopathic Pulmonary Fibrosis Predicts Mortality in Interstitial Lung Diseases (Respiratory Investigation) Read Post »

Prognostication in patients with idiopathic pulmonary fibrosis using quantitative airway analysis from HRCT: a retrospective study Read Post »

A multi-stage 3D convolutional neural network algorithm for CT-based lung segment parcellation Read Post »

Uncertainty-based Interactive 3D Medical Image Segmentation Read Post »

Effect of Slice Thickness on Quantitative Analysis of Interstitial Lung Disease: A Retrospective Volumetric Chest CT Study Read Post »

E-Lung Biomarkers are Associated with Future Progressive Pulmonary Fibrosis Independent of UIP Status on CT Read Post »

Single Timepoint Prediction Score on High-resolution CT: Association with Progression-free Survival Interstitial Lung Disease Read Post »

Multimodal Machine Learning for Prognostic Modelling in Idiopathic Pulmonary Fibrosis Read Post »

Preclinical concept studies showing advantage of an inhaled anti-CTGF/CCN2 protein for pulmonary fibrosis treatment Read Post »

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