Diffusion MRI microstructure models with in vivo human brain Connectome data: results from a multi-group comparison.

scientific article

Diffusion MRI microstructure models with in vivo human brain Connectome data: results from a multi-group comparison. is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1002/NBM.3734
P932PMC publication ID5563694
P698PubMed publication ID28643354

P50authorMarkus NilssonQ55914176
Ariel RokemQ83177475
Uran FeriziQ88374418
Rachid DericheQ30131862
Simon K. WarfieldQ39477656
Claudia Wheeler-KingshottQ48491706
Mariano RiveraQ48924970
P2093author name stringThomas Witzel
Dirk H J Poot
José G Raya
Lawrence L Wald
Robert F Dougherty
Ken Sakaie
Benoit Scherrer
Daniel C Alexander
Torben Schneider
Alonso Ramirez-Manzanares
Jose L Marroquin
Mohammad Alipoor
Rutger H J Fick
Ana K Loya-Olivas
Christian Pötter
Odin Eufracio
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P433issue9
P407language of work or nameEnglishQ1860
P921main subjectmicrostructureQ1498213
human connectomeQ47509279
P577publication date2017-06-23
P1433published inNMR in BiomedicineQ3061252
P1476titleDiffusion MRI microstructure models with in vivo human brain Connectome data: results from a multi-group comparison
P478volume30

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cites work (P2860)
Q58570952A framework for multi-component analysis of diffusion MRI data over the neonatal period
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Q59549198Characterization of Prostate Microstructure Using Water Diffusion and NMR Relaxation
Q93369214Comparison of NODDI and spherical mean signal for measuring intra-neurite volume fraction
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Q63644819Motion-robust diffusion compartment imaging using simultaneous multi-slice acquisition
Q91081395The Dmipy Toolbox: Diffusion MRI Multi-Compartment Modeling and Microstructure Recovery Made Easy
Q30839298The visual white matter: The application of diffusion MRI and fiber tractography to vision science

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