Nov 1, 2020 · A widely used cortical surface registration approach is to map the surface onto the unit sphere in order to perform computations in this ...
Nov 1, 2020 · In this study, we present SphereMorph, a diffeomorphic registration framework for cortical surfaces using deep networks that addresses these ...
Oct 31, 2023 · Our goal is to achieve a continuous and smooth warp field that can effectively facilitate precise cortical surface registration. Conventional ...
Cortical surface registration using unsupervised learning. Jieyu Cheng, Adrian Dalca, Bruce Fischl*, Lilla Zollei* arXiv:2004.04617
Apr 9, 2020 · In this study, we present SphereMorph, a diffeomorphic registration framework for cortical surfaces using deep networks that addresses these ...
(PDF) Cortical surface registration using unsupervised learning
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Jul 8, 2020 · A higher CC indicates a greater similarity between the images before and after registration, with the calculation formula given in Equation 16 .
In this paper, we present a fast learning-based algorithm that makes use of the recent development in spherical Convolutional Neural Networks (CNNs)
Nov 21, 2023 · This paper introduces GeoMorph, a novel geometric deep-learning framework designed for image registration of cortical surfaces.
Our goal is to achieve a continuous and smooth warp field that can effectively facilitate precise cortical surface registration. Conventional spherical ...
We present SUGAR, a unified unsupervised deep-learning framework for both rigid and non-rigid registration.