Deep, deep learning with BART-Reference-Cited by-同舟云学术

Deep, deep learning with BART

Published:2022-10-18 Issue:2 Volume:89 Page:678-693
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magnetic Resonance in Med

Author:

Blumenthal Moritz¹^ORCID,Luo Guanxiong¹^ORCID,Schilling Martin¹,Holme H. Christian M.²^ORCID,Uecker Martin¹²³⁴⁵^ORCID

Affiliation:

1. Institute for Diagnostic and Interventional Radiology University Medical Center Göttingen Göttingen Germany

2. Institute of Biomedical Imaging Graz University of Technology Graz Austria

3. Cluster of Excellence “Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells” (MBExC) University of Göttingen Göttingen Germany

4. German Centre for Cardiovascular Research (DZHK) Partner Site Göttingen Göttingen Germany

5. BioTechMed‐Graz Graz Austria

Funder

Deutsche Forschungsgemeinschaft

National Institutes of Health

Volkswagen Foundation

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.29485

Reference54 articles.

1. Simultaneous acquisition of spatial harmonics (SMASH): Fast imaging with radiofrequency coil arrays

2. Generalized autocalibrating partially parallel acquisitions (GRAPPA)

3. SPIRiT: Iterative self‐consistent parallel imaging reconstruction from arbitrary k ‐space

4. SENSE: Sensitivity encoding for fast MRI

5. Sparse MRI: The application of compressed sensing for rapid MR imaging

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ATOMMIC: An Advanced Toolbox for Multitask Medical Imaging Consistency to facilitate Artificial Intelligence applications from acquisition to analysis in Magnetic Resonance Imaging;Computer Methods and Programs in Biomedicine;2024-11

2. Self‐supervised learning for improved calibrationless radial MRI with NLINV‐Net;Magnetic Resonance in Medicine;2024-07-30

3. Deep learning for accelerated and robust MRI reconstruction;Magnetic Resonance Materials in Physics, Biology and Medicine;2024-07-23

4. Knowledge‐driven deep learning for fast MR imaging: Undersampled MR image reconstruction from supervised to un‐supervised learning;Magnetic Resonance in Medicine;2024-04-16

5. Conclusion and Future Work;Synthesis Lectures on Biomedical Engineering;2024