A Framework for the AI-based visualization and analysis of massive amounts of 4D tomography data for end users of beamlines
AI framework for beamlines.
s.-kie%C3%9F
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Machine Learning for the Reconstruction and Analysis of Synchrotron-radiation Tomography Data
Machine learning approachs in SRCT.
julian-moosmann
VolRAFT: Volumetric Optical Flow Network for Digital Volume Correlation of Synchrotron Radiation-based Micro-CT Images of Bone-Implant Interfaces
VolRAFT: extend optical flow network RAFT to volumetric data for digital volume correlation (DVC).
Deep Optimization Prior for THz Model Parameter Estimation
Deep Optimization Prior approach allows to find better local optima in the non-convex energy landscape.
Training Auto-Encoder-Based Optimizers for Terahertz Image Reconstruction
An unsupervised model-based autoencoder in which the encoder network predicts suitable parameters and the decoder is fixed to a physical model.
Advanced signal processing techniques for THz imaging and sensing enhancement in material quality control applications
An overview of recent signal processing developments for the enhancement of the analytic performance of THz imaging and sensing systems.
daniel-stock