22 citations · 26 across the 3 of their papers we have counts for
3 papers
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms
Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov +5
We present a method for metric optimization in the Large Deformation Diffeomorphic Metric Mapping (LDDMM) framework, by treating the induced Riemannian metric on the space of diffe…
Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification
Sergey Korolev, Amir Safiullin, Mikhail Belyaev +1
In the recent years there have been a number of studies that applied deep learning algorithms to neuroimaging data. Pipelines used in those studies mostly require multiple processi…
Kernel classification of connectomes based on earth mover's distance between graph spectra
Yulia Dodonova, Mikhail Belyaev, Anna Tkachev +2
In this paper, we tackle a problem of predicting phenotypes from structural connectomes. We propose that normalized Laplacian spectra can capture structural properties of brain net…