Imperial College London
Alternate

ProfessorDanielRueckert

Faculty of Engineering, Department 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{Tournier:2020:10.1002/nbm.4348,
author = {Tournier, J-D and Christiaens, D and Hutter, J and Price, AN and Cordero-Grande, L and Hughes, E and Bastiani, M and Sotiropoulos, SN and Smith, SM and Rueckert, D and Counsell, SJ and Edwards, AD and Hajnal, JV},
doi = {10.1002/nbm.4348},
journal = {NMR IN BIOMEDICINE},
title = {A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging},
url = {http://dx.doi.org/10.1002/nbm.4348},
volume = {33},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AU  - Tournier,J-D
AU  - Christiaens,D
AU  - Hutter,J
AU  - Price,AN
AU  - Cordero-Grande,L
AU  - Hughes,E
AU  - Bastiani,M
AU  - Sotiropoulos,SN
AU  - Smith,SM
AU  - Rueckert,D
AU  - Counsell,SJ
AU  - Edwards,AD
AU  - Hajnal,JV
DO  - 10.1002/nbm.4348
PY  - 2020///
SN  - 0952-3480
TI  - A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging
T2  - NMR IN BIOMEDICINE
UR  - http://dx.doi.org/10.1002/nbm.4348
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000545535400001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL  - 33
ER  -
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