Journal article
Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow-Editorial for the 2nd Special Issue "Machine Learning for Image Reconstruction"
IEEE transactions on medical imaging, Vol.40(11), pp.2956-2964
11/2021
DOI: 10.1109/TMI.2021.3115547
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.
Details
- Title: Subtitle
- Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow-Editorial for the 2nd Special Issue "Machine Learning for Image Reconstruction"
- Creators
- Ge Wang - Rensselaer Polytechnic InstituteMathews Jacob - University of IowaXuanqin Mou - Xi'an Jiaotong UniversityYongyi Shi - Xi'an Jiaotong UniversityYonina C Eldar - Weizmann Institute of Science
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on medical imaging, Vol.40(11), pp.2956-2964
- Publisher
- IEEE
- DOI
- 10.1109/TMI.2021.3115547
- ISSN
- 0278-0062
- eISSN
- 1558-254X
- Language
- English
- Date published
- 11/2021
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Iowa Neuroscience Institute; Radiation Oncology
- Record Identifier
- 9984187846602771
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