Xlearn implements Deep Neural Network to X-ray science imaging problems including:
Tomography rotation axis calibration [A3].
Low-dose image enhancement [A2].
Feature extraction, segmentation [A1].
Super-resolution X-ray microscopy (will update later).
Solving inverse problems with deep learning, such as tomography reconstruction [A4] and phase retrieval.