Andreas Meier
84 papers 283 citations h-index 4 1980–2022
Estimating permeability of 3D micro-CT images by physics-informed CNNs based on DNS
In recent years, convolutional neural networks (CNNs) have experienced an increasing interest in their ability to perform a fast approximation of effective hydrodynamic parameters in porous media...
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. Due...
Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks
Chest X-ray is the most common medical imaging exam used to assess multiple pathologies. Automated algorithms and tools have the potential to support the reading workflow, improve efficiency, and...
Poster Abstract: If You Have Time, Save Energy with Pull
We analyze push and pull for data collection in wireless sensor networks. Most applications to date use the traditional push approach, where nodes transmit sensed data immedi- ately to the sink....
Designing a GUI for Proofs - Evaluation of an HCI Experiment
Often user interfaces of theorem proving systems focus on assisting particularly trained and skilled users, i.e., proof experts. As a result, the systems are difficult to use for non-expert users....