... | ... | @@ -38,7 +38,7 @@ Following directions are currently envisaged, please feel free to add more: |
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* Uncertainty estimation and signaling
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* Methods for validation of diagnostics and explainable output
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* Learning from high resolution images, multi-scale architectures (> 512x512)
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* Learning from Multi-Modal datasets (e.g, 2D X-Ray, Ultrasound Images, 3D CT scans)
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* Learning from multiple modalities (e.g, 2D X-Ray, 3D CT scans, Ultrasound imaging, sound recordings)
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* Neural Architecture Search for obtaining highly optimized architecture backbones
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- Transfer across different hardware architectures (e.g, ultra-low power mobile end devices)
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* Data collection, preparation, maintenance (Collaborators: JSC (linking to Juelich Datasets Initiative), DKRZ) |