Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow-Editorial for the 2nd Special Issue 'Machine Learning for Image Reconstruction'

Ge Wang, Mathews Jacob, Xuanqin Mou, Yongyi Shi, Yonina C. Eldar

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)2956-2964
Number of pages9
JournalIEEE transactions on medical imaging
Volume40
Issue number11
DOIs
StatePublished - 1 Nov 2021

Keywords

  • Tomography
  • artificial intelligence
  • deep learning
  • deep reconstruction
  • image reconstruction
  • machine learning

All Science Journal Classification (ASJC) codes

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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