Sep 21, 2021 · In this work, we propose a spherical CNN model with fully spectral domain convolutional and non-linear layers. It provides rotational invariance ...
Jul 29, 2021 · In this work, we propose a spherical CNN model with fully spectral domain convolutional and non-linear layers. It provides rotational invariance ...
Sep 1, 2021 · This study proposes a revised method to assess clinical parameters in dMRI data using a CNN architecture that relies on aspects of the geometry ...
In this work, we propose a spherical CNN model with fully spectral domain convolutional and non-linear layers. It provides rotational invariance and is adapted ...
A Spherical Convolutional Neural Network for White Matter Structure Imaging via dMRI. https://doi.org/10.1007/978-3-030-87199-4_50 ·.
This study investigated if recently developed rotationally invariant spherical convolutional neural networks can improve microstructural parameter estimation.
A spherical convolutional neural network is trained to predict the ground-truth parameter values from efficiently simulated noisy data and applied to ...
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Apr 17, 2024 · Spherical convolutional neural networks can improve brain microstructure estimation from diffusion MRI data. March 2024; Frontiers in ...
This paper demonstrates spherical convolutional neural networks (S-CNN) offer distinct advantages over conventional fully- connected networks (FCN) at ...
"Spherenet: Learning spherical representations for detection and classification in omnidirectional images." Proceedings of the European Conference on Computer ...