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How can spherical CNNs benefit ML-based diffusion MRI parameter
  estimation?

How can spherical CNNs benefit ML-based diffusion MRI parameter estimation?

1 July 2022
Tobias Goodwin-Allcock
Jason D. McEwen
Robert J. Gray
P. Nachev
Hui Zhang
    DiffM
    MedIm
ArXivPDFHTML

Papers citing "How can spherical CNNs benefit ML-based diffusion MRI parameter estimation?"

3 / 3 papers shown
Title
Differentiable and accelerated spherical harmonic and Wigner transforms
Differentiable and accelerated spherical harmonic and Wigner transforms
Matthew Alexander Price
Jason D. McEwen
26
6
0
24 Nov 2023
$E(3) \times SO(3)$-Equivariant Networks for Spherical Deconvolution in
  Diffusion MRI
E(3)×SO(3)E(3) \times SO(3)E(3)×SO(3)-Equivariant Networks for Spherical Deconvolution in Diffusion MRI
Axel Elaldi
Guido Gerig
Neel Dey
MedIm
16
3
0
12 Apr 2023
A Unified Learning Model for Estimating Fiber Orientation Distribution
  Functions on Heterogeneous Multi-shell Diffusion-weighted MRI
A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI
Tianyuan Yao
N. Newlin
Praitayini Kanakaraj
V. Nath
L. Cai
Karthik Ramadass
K. Schilling
Bennett A. Landman
Yuankai Huo
26
3
0
29 Mar 2023
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