Classification of Normal and Pathological Brain Networks Based on Similarity in Graph Partitions. - Anvar Kurmukov; Yulia Dodonova; Leonid Zhukov (ICDM Workshops, 2016)

Classification of structural brain networks based on information divergence of graph spectra. - Yulia Dodonova; Sergey Korolev; Anna Tkachev; Dmitry Petrov; Leonid Zhukov; Mikhail Belyaev (MLSP, 2016)

Boosting connectome classification via combination of geometric and topological normalizations. - Dmitry Petrov; Yulia Dodonova; Leonid Zhukov; Mikhail Belyaev (PRNI, 2016)

Kernel classification of connectomes based on earth mover's distance between graph spectra. - Yulia Dodonova; Mikhail Belyaev; Anna Tkachev; Dmitry Petrov; Leonid Zhukov (CoRR, 2016)

Residual and plain convolutional neural networks for 3D brain MRI classification. - Sergey Korolev; Amir Safiullin; Mikhail Belyaev; Yulia Dodonova (ISBI, 2017)

Classifying Phenotypes Based on the Community Structure of Human Brain Networks. - Anvar Kurmukov; Marina Ananyeva; Yulia Dodonova; Boris Gutman; Joshua Faskowitz; Neda Jahanshad; Paul M. Thompson; Leonid Zhukov (GRAIL/MFCA/MICGen@MICCAI, 2017)

Connectivity-Driven Brain Parcellation via Consensus Clustering. - Anvar Kurmukov; Ayagoz Musabayeva; Yulia Denisova; Daniel Moyer; Boris Gutman (CNI@MICCAI, 2018)

Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms. - Ayagoz Mussabayeva; Alexey Kroshnin; Anvar Kurmukov; Yulia Denisova; Li Shen 001; Shan Cong; Lei Wang 032; Boris A. Gutman (ShapeMI@MICCAI, 2018)

Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models. - Ayagoz Mussabayeva; Maxim Pisov; Anvar Kurmukov; Alexey Kroshnin; Yulia Denisova; Li Shen 001; Shan Cong; Lei Wang 032; Boris Gutman (MBIA/MFCA@MICCAI, 2019)

Optimizing Connectivity-Driven Brain Parcellation Using Ensemble Clustering. - Anvar Kurmukov; Ayagoz Mussabaeva; Yulia Denisova; Daniel Moyer; Neda Jahanshad; Paul M. Thompson; Boris A. Gutman (Brain Connect., 2020)