Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review-Reference-Cited by-同舟云学术

Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review

Published:2024-02 Issue:2 Volume:43 Page:846-859
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Spieker Veronika¹^ORCID,Eichhorn Hannah¹^ORCID,Hammernik Kerstin¹^ORCID,Rueckert Daniel²^ORCID,Preibisch Christine³^ORCID,Karampinos Dimitrios C.⁴^ORCID,Schnabel Julia A.¹^ORCID

Affiliation:

1. Institute of Machine Learning for Biomedical Imaging, Helmholtz Munich, Munich, Germany

2. School of Computation, Information and Technology and the School of Medicine and Health, Klinikum rechts der Isar, Technical University of Munich, Münich, Germany

3. Department of Neuroradiology, School of Medicine and Health, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany

4. Department of Diagnostic and Interventional Radiology, School of Medicine and Health, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany

Funder

Helmholtz Association under the Joint Research School “Munich School for Data Science-MUDS.”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/42/10419117/10285512.pdf?arnumber=10285512

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