no code implementations • 10 Aug 2018 • Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Dodonova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman
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 diffeomorphisms as a kernel in a machine learning context.
3 code implementations • 23 Jan 2017 • Sergey Korolev, Amir Safiullin, Mikhail Belyaev, Yulia Dodonova
In the recent years there have been a number of studies that applied deep learning algorithms to neuroimaging data.
no code implementations • 27 Nov 2016 • Yulia Dodonova, Mikhail Belyaev, Anna Tkachev, Dmitry Petrov, Leonid Zhukov
In this paper, we tackle a problem of predicting phenotypes from structural connectomes.