IEEE Transactions on Medical Imaging · 2021 · 25 citations · 24 references
ComputingComputer ScienceRadiologyBiomedical ImagingDiagnostic ImagingMachine LearningComputed TomographyDeep LearningImage ReconstructionMagnetic Resonance ImagingMedical Image AnalysisMedical ImagingComputed Tomography ReconstructionCt Image ReconstructionDeep Learning In RadiologyDeep Learning-based ReconstructionReconstruction AlgorithmsTomographic Reconstruction
As a follow-up to the first IEEE Transactions on Medical Imaging (TMI) special issue on the theme of deep tomographic reconstruction, the second special issue is assembled to reflect the status and momentum of this rapidly emerging field. In this editorial, we provide a brief background illustrating the motivation for the development of network-based, data-driven, and learning-oriented reconstruction methods, summarize the included papers, and report our verification of the shared deep learning codes. Finally, we discuss several important research topics to facilitate further investigation and collaboration.
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