… artificial intelligence (AI) reconstruction algorithm on computed tomography (CT) images and
the application of CT image … researchers found that image reconstruction algorithms can be …

… image reconstruction. Whereas the earliest papers on NN-aided MMF image reconstruction
… of a MMF, as an alternative to direct image reconstruction 35 ). To our knowledge, there has …

… in solving inverse problem, traditional image reconstruction methods cannot achieve high …
neural network (CNN) is proposed for image reconstruction of ERT. To establish the database, …

… jointly estimate coil sensitivity profiles during the image reconstruction process [9, 10], but for
… reconstruction in image domain in Figure 1 shows three example undersampled coil images…

… , sparsity or, for the case of dynamic imaging, spatio-temporal redundancy. Past … image
reconstruction quality compared to compressed sensing (CS) based single frame reconstruction …

… evaluated here was only recently released, based not on a conventional algorithm but on
artificial intelligence and—to our knowledge—not objectively assessed in any prior study …

… along with concepts of artificial intelligence and ANNs and … image that is being observed,
reconstructing the turbulence atmosphere of that moment, and finally making the reconstruction …

… for image reconstruction deep networks. Image reconstruction involving the recovery of an
image … We argue that this formulation can miss important aspects in image reconstruction, …

… They can simultaneously extract key features from images and also reduce the number of
trainable parameters combined with pooling operations, which is suitable for reconstructing J …

… used in medical imaging as discussed in Table 1 . This chapter also gives a comparative
analysis of techniques used for the 3-D reconstruction of bones from 2-D imaging techniques. …