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## Wiki for material and resources, Deep Learning for COVID XRay detection
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## Wiki for material and resources, Deep Learning for COVID X-Ray detection
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Authors: Mehdi Cherti (MC), Jenia Jitsev (JJ)
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(Helmholtz AI Local "Information", Juelich Supercomputing Center (JSC))
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| ... | ... | @@ -27,7 +27,8 @@ Following directions are currently envisaged, please feel free to add more: |
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- Generative models for unsupervised pre-training
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* Uncertainty estimation and signaling (Collaborators: JSC, ...)
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* Methods for validation of diagnostics and explainable output (Collaborators: JSC, ...)
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* Learning from high resolution images, multi-scale architectures (> 512x512)
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* Learning from high resolution images, multi-scale architectures (> 512x512) (Collaborators: JSC, ...)
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* Learning from Multi-Modal datasets (e.g, 2D X-Ray or 3D CT scans) (Collaborators: JSC, ...)
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* Neural Architecture Search for obtaining higly optimized architecture backbones (Collaborators: JSC, ...)
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- Transfer across different hardware architectures (e.g, mobile devices)
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* Data collection, preparation, maintenance (Collaborators: JSC (potential link to Juelich Datasets Initiative)) |
