On the potential for mapping apparent neural soma density via a clinically viable diffusion MRI protocol.

Noemi G. Gyori

Noemi G. Gyori Christopher A. Clark Daniel C. Alexander Enrico Kaden On the potential for mapping apparent neural soma density via a clinically viable diffusion MRI protocol. 118303 2021 239 NeuroImage https://doi.org/10.1016/j.neuroimage.2021.118303 db/journals/neuroimage/neuroimage239.html#GyoriCAK21

Leevi Kerkelä Fabio Nery Ross Callaghan Fenglei Zhou Noemi G. Gyori Filip Szczepankiewicz Marco Palombo Geoff J. M. Parker Hui Zhang 0005 Matt G. Hall Chris A. Clark Comparative analysis of signal models for microscopic fractional anisotropy estimation using q-space trajectory encoding. 118445 2021 242 NeuroImage https://doi.org/10.1016/j.neuroimage.2021.118445 db/journals/neuroimage/neuroimage242.html#KerkelaNCZGSPPZ21

Suheyla Cetin Karayumak Daan Christiaens Matteo Figini Pamela Guevara Noemi G. Gyori Vishwesh Nath Tomasz Pieciak Computational Diffusion MRI - 12th International Workshop, CDMRI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings CDMRI@MICCAI Springer 2021 Lecture Notes in Computer Science 13006 978-3-030-87614-2 978-3-030-87615-9 https://doi.org/10.1007/978-3-030-87615-9 db/conf/miccai/cdmri2021.html Daniel C. Alexander Ross Callaghan Daan Christiaens Christopher A. ClarkChris A. Clark Matteo Figini Pamela Guevara Matt G. Hall Enrico Kaden Suheyla Cetin Karayumak Leevi Kerkelä Vishwesh Nath Fabio Nery Marco Palombo Geoffrey J. M. ParkerGeoff J. M. Parker Tomasz Pieciak Filip Szczepankiewicz Hui Zhang 0005 Fenglei Zhou