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Found 3 papers, 2 papers with code
Estimating relative diffusion from 3D micro-CT images using CNNs
In the past several years, convolutional neural networks (CNNs) have proven their capability to predict characteristic quantities in porous media research directly from pore-space geometries.
Estimating permeability of 3D micro-CT images by physics-informed CNNs based on DNS
This paper presents a novel methodology for permeability prediction from micro-CT scans of geological rock samples.
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks
To foster future research we demonstrate the limitations of the current benchmarking setup and provide new reference patient-wise splits for the used data sets.
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