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.
no code implementations • 14 Oct 2017 • Nikita Mokrov, Maxim Panov, Boris A. Gutman, Joshua I. Faskowitz, Neda Jahanshad, Paul M. Thompson
This paper considers the problem of brain disease classification based on connectome data.
1 code implementation • 2 Mar 2017 • Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson
One of the primary objectives of human brain mapping is the division of the cortical surface into functionally distinct regions, i. e. parcellation.
no code implementations • 18 Nov 2016 • Daniel Moyer, Boris A. Gutman, Joshua Faskowitz, Neda Jahanshad, Paul M. Thompson
In the present work we demonstrate the use of a parcellation free connectivity model based on Poisson point processes.