Imperial College London

ProfessorDanielRueckert

Faculty of EngineeringDepartment of Computing

Professor of Visual Information Processing
 
 
 
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Contact

 

+44 (0)20 7594 8333d.rueckert Website

 
 
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Location

 

568Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Hammernik:2023:10.1109/MSP.2022.3215288,
author = {Hammernik, K and Kustner, T and Yaman, B and Huang, Z and Rueckert, D and Knoll, F and Akcakaya, M},
doi = {10.1109/MSP.2022.3215288},
journal = {IEEE SIGNAL PROCESSING MAGAZINE},
pages = {98--114},
title = {Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging},
url = {http://dx.doi.org/10.1109/MSP.2022.3215288},
volume = {40},
year = {2023}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Hammernik,K
AU - Kustner,T
AU - Yaman,B
AU - Huang,Z
AU - Rueckert,D
AU - Knoll,F
AU - Akcakaya,M
DO - 10.1109/MSP.2022.3215288
EP - 114
PY - 2023///
SN - 1053-5888
SP - 98
TI - Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging
T2 - IEEE SIGNAL PROCESSING MAGAZINE
UR - http://dx.doi.org/10.1109/MSP.2022.3215288
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000967245800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 40
ER -