Description
Book SynopsisDeep Learning Techniques for CT Image Denoising and Resolution Enhancement.- , Physically interpretable deep learning reconstruction for photon counting spectral CT.- , Deep learning methods in dual energy CT imaging.- , Performance Evaluation of Implicit Neural Representations in Diagnostic Fan-Beam CT Imaging.- , Learning-Based Material Decomposition for Spectral X-ray Imaging.- , Learning-Based Material Decomposition for Spectral X-ray Imaging.- , Correcting Charge Sharing Distortions in Photon Counting Detectors Utilizing a Spatial-Temporal CNN.- , Machine Learning Approaches for CdZnTe / CdTe Radiation Detectors.- , Enhanced 3D X-ray Tomography: Deep Learning-based Advanced Algorithms for Fiber Instance Segmentation.- , Machine Learning-Based Image Processing in Radiotherapy.- , Deep learning-based image reconstruction of coded-aperture imaging in nuclear security applications.- , Artificial Intelligence for X-ray Photon Counting Technology: Current Status and Future Perspectives.
