Yulia Denisova

According to our database, Yulia Denisova authored at least 10 papers between 2016 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

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

2019

Diffeomorphic Metric Learning and Template Optimization for Registration-Based Predictive Models.

Ayagoz Mussabayeva, Maxim Pisov, Anvar Kurmukov, Alexey Kroshnin, Yulia Denisova, Li Shen, Shan Cong, Lei Wang, Boris Gutman

Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

2018

Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms.

Ayagoz Mussabayeva, Alexey Kroshnin, Anvar Kurmukov, Yulia Denisova, Li Shen, Shan Cong, Lei Wang, Boris A. Gutman

Proceedings of the Shape in Medical Imaging, 2018

Connectivity-Driven Brain Parcellation via Consensus Clustering.

Anvar Kurmukov, Ayagoz Musabayeva, Yulia Denisova, Daniel Moyer, Boris Gutman

Proceedings of the Connectomics in NeuroImaging - Second International Workshop, 2018

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

Proceedings of the Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics, 2017

Residual and plain convolutional neural networks for 3D brain MRI classification.

Sergey Korolev, Amir Safiullin, Mikhail Belyaev, Yulia Dodonova

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

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

Boosting connectome classification via combination of geometric and topological normalizations.

Dmitry Petrov, Yulia Dodonova, Leonid Zhukov, Mikhail Belyaev

Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 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

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Classification of Normal and Pathological Brain Networks Based on Similarity in Graph Partitions.

Anvar Kurmukov, Yulia Dodonova, Leonid Zhukov

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016