Erratum to: Knowledge-driven deep learning for fast MR imaging: Undersampled MR image reconstruction from supervised to un-supervised learning (Magn Reson Med., (2024), 92, (496-518),10.1002/MRM.30105)

0Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Due to a misunderstanding of a vendor approach to their reconstruction algorithm, the authors wish to remove the following sentence in the fifth paragraph of Section 4.4: “GE and Siemens solutions are applied to DICOM data after parallel imaging (PI) reconstruction, whereas Philips and UIH solutions attempt to build upon traditional CSPI and iterative algorithms to provide interpretability, and to fully utilize the domain specific experience and knowledge.”.

Cite

CITATION STYLE

APA

Wang, S., Wu, R., Jia, S., Diakite, A., Li, C., Liu, Q., … Ying, L. (2024, November 1). Erratum to: Knowledge-driven deep learning for fast MR imaging: Undersampled MR image reconstruction from supervised to un-supervised learning (Magn Reson Med., (2024), 92, (496-518),10.1002/MRM.30105). Magnetic Resonance in Medicine. John Wiley and Sons Inc. https://doi.org/10.1002/mrm.30204

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free