… a dual-domain (ie, the projection sinogram domain and image … on the complete projections
to obtain sparse-view projections … However, compared to HD-Net, which trains enhancement …

… Embedding ARO into deep learning framework, the proposed one-… restore the DE sparse-view
projections into fullview shape using … Then, we compared the proposed CD-Net with two …

… sparse-view sinograms by subsampling projections from full-… high-quality sparse-view
imaging, recently, deeplearning based … We compare the reconstruction performance using 120 …

… the projection domain to restore the full-view projections from … Our deep learning architecture
used to improve sparse-view … is compared with different methods for sparse-view CBCT …

… data from the projection domain to the image domain. Finally… methods have been proposed
for sparse-view (Liang et al 2018a… In addition, we also conducted a comparison with full data …

… of conventional image and projection-domain DL methodologies, … from the sparse-view
CT image to the full-view CT image. This … When comparing our method with conventional DL …

… we compare the obtained results with three different types of … the full use of information in
both projection and image domain … deep learning prior,” in Machine Learning for Medical Image …

… idea is to learn the prior distribution of full-view projection with a … images, we need to obtain
full-view projection data from … of a modularized deep neural network compared to commercial …

… is 2D sparse-view CT, where 128 evenly space projections are … , we apply Gaussian smoothing
with a full width at half maximum of … in the corresponding ROI difference image, where the …

… due to repeated projection and back projection and may cause … In this work, we compare our
method to other two sparse-view … Thirdly, in order to make full use of the advantages of both …