Vision Intelligence Assisted Lung Function Estimation Based on Transformer Encoder–Decoder Network With Invertible Modeling
OSIC is mentioned in this research.
In Non-IPF Fibrosing ILD, E-Lung Biomarkers are Associated with the Future Development of Progressive Pulmonary Fibrosis Independent of UIP Status on CT Scan
Data from the OSIC Data Repository was used to conduct this research.
Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge
Data from the OSIC Data Repository was used to conduct this research.
Metric learning guided sinogram denoising for cone beam CT enhancement
Data from the OSIC Data Repository was used to conduct this research.
Performance Evaluation and Validation of e-Lung in non-IPF fibrotic ILD
Data from the OSIC Data Repository was used to conduct this research.
8th Annual IPF Summit
Executive Director Elizabeth Estes shared insights on how robust clinical data curation, global normalization, and advanced data power can drive radical progress in drug development
Computed tomography machine learning classifier correlates with mortality in interstitial lung disease
Data from the OSIC Data Repository was used to conduct this research.
Medical Image Segmentation using DUCK-Net
Data from the OSIC Data Repository was used to conduct this research.
Utilization of Imaging and Clinical Data in Predicting Lung Capacity Progression in Patients with Fibrosis
Data from the OSIC Repository was used to conduct this research.
Machine Learning Classifier is Associated with Mortality in Interstitial Lung Disease: A Retrospective Validation Study Leveraging Registry Data
Data from the OSIC Data Repository was used to conduct this research.
From Pixels to Prognosis: Unlocking the Potential of Deep Learning in Fibrotic Lung Disease Imaging Analysis
OSIC is mentioned in this research.
Multi-modal Machine Learning Classifier for Idiopathic Pulmonary Fibrosis Predicts Mortality in Interstitial Lung Diseases
Data from the OSIC Data Repository was used to conduct this research.
ATS 2024 International Conference
Dr. Kevin Brown and Dr. Simon Walsh discussed recent developments in machine learning algorithms using the OSIC Cloud Data Repository during this Industry Theater presentation.
Evaluating Radiomic-Derived Features Across Different Image Convolution Kernels for Predicting IPF Patient Survival
Data from the OSIC Data Repository was used to conduct this research.
Towards the Adoption of Quantitative Computed Tomography in the Management of Interstitial Lung Disease
OSIC members discuss how quantitative CT software has huge potential to develop imaging biomarkers to improve the management of fibrosing ILDs, but optimizing their adoption
A Machine Learning System to Indicate Diagnosis of Idiopathic Pulmonary Fibrosis Non-Invasively in Challenging Cases
Data from the OSIC Data Repository was used to conduct this research.
Revolutionizing Pulmonary Diagnostics: A Narrative Review of Artificial Intelligence Applications in Lung Imaging
OSIC is mentioned in this research. READ MORE ON CUREUS
ASPPH 2024 Annual Meeting
Executive Director Elizabeth Estes and Pam Factor-Litvak, PhD, associate dean for research resources at Columbia University Mailman School of Public Health, discussed “Open-Source as a
Rare Disease Summit Summit 2024
Executive Director Elizabeth Estes, Melissa Leichter of Novo Nordisk, and Panna Sharma of Lantern Pharma Inc. discussed the potential of using AI and machine learning
Enhanced Multimodal Timely Prediction of Pulmonary Fibrosis Progression with Uncertainty Estimation from Chest CT Images and Clinical Metadata
Data from the OSIC Data Repository was used to conduct this research.
