NeuroML

Our publications

2018

Deep Learning for Quality Control of Subcortical Brain 3D Shape Models
Shape in Medical Imaging Workshop at MICCAI - 2018
D. Petrov, B. Gutman, E. Kuznetsov, C. Ching, K. Alpert, A. Zavaliangos-Petropulu, D. Isaev, J. Turner, T. van Erp, L. Wang, L. Schmaal, D. Veltman, P. Thompson
Image Registration and Predictive Modeling: Learning the Metric on the Space of Diffeomorphisms
ShapeMI MICCAI 2018: Workshop on Shape in Medical Imaging - 2018
A. Mussabayeva, A. Kroshnin, A. Kurmukov, Y. Denisova, Li Shen, Shan Cong, Lei Wang, Gutman B.A.
ISLES 2016 and 2017 - Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI
- 2018
S. Winzeck, A. Hakim, R. McKinley, J. Adriano A. Pinto, V. Alves, C. Silva, M. Pisov, E. Krivov, M. Belyaev, M. Monteiro, A. Oliveira, Y. Choi, M. Paik, Y. Kwon, K. Joon, J.-H. Won, M. Islam, H. Ren, D. Robben, P. Suetens, E. Gong, Y. Niu, J. Xu, J. M Pauly, C. Lucas, M. P. Heinrich, L. C. Rivera, L. S. Castillo, L. A. Daza, A. L. Beers, P. Arbelaez, O. Maier, K. Chang, J. M. Brown, J. Kalpathy-Cramer, G. Zaharchuk, R. Wiest, M. Reyes
Prediction of suicidality in Huntington disease: analysis of Enroll-HD data using machine learning approach
Movement Disorders - 2018
Y. Seliverstov, A. Borzov, E. van Duijn, B. Landwehrmeyer, M. Belyaev
Using Geometry of the Set of Symmetric Positive Semidefinite Matrices to Classify Structural Brain Networks
The 7th International Conference on Network Analysis - 2018
M. Belyaev, Y. Dodonova, D. Belyaeva, E. Krivov, B. Gutman, J. Faskowitz, N. Jahanshad, P. Thompson
Topological modules of human brain networks are anatomically embedded: evidence from modularity analysis at multiple scales
The 7th International Conference on Network Analysis - 2018
A. Kurmukov, Y. Dodonova, M. Burova, A. Mussabayeva, D. Petrov, J. Faskowitz, L. Zhukov
Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation
15th International Conference on Image Analysis and Recognition - 2018
Gleb Makarchuk, Vladimir Kondratenko, Maxim Pisov, Artem Pimkin, Egor Krivov, Mikhail Belyaev
Comparative Retrospective Analysis of Tetrabenazine and Olanzapine in Management of Huntington's Disease Based on Data from the Worldwide Observational Study Enroll-HD
Neurotherapeutics - 2018
Yury Seliverstov, Artyom Borzov, Ravil Niyazov, Mikhail Belyaev
Hypomimia detection with a smartphone camera as a possible self-screening tool for Parkinson disease
American Academy of Neurology Annual Meeting - 2018
Y. Seliverstov, D. Diagovchenko, M. Kravchenko, M. Babin, E. Fedotova, M. Belyaev
Predicting Conversion of Mild Cognitive Impairments to Alzheimer's Disease and Exploring Impact of Neuroimaging
Beyond MIC: integrating imaging and non-imaging modalities for healthcare challenges - 2018
Y. Shmulev, M. Belyaev
Tumor Delineation For Brain Radiosurgery by a ConvNet and Non-Uniform Patch Generation
3rd International Workshop on Patch-based Techniques in Medical Imaging - 2018
E. Krivov, V. Kostjuchenko, A. Dalechina, B. Shirokikh, A. Denisenko, G. Makarchuk, A. Golanov, M. Belyaev

2017

Machine Learning Application to Human Brain Network Studies: a Kernel Approach
The 6th International Conference on Network Analysis - 2017
A. Kurmukov, Y. Dodonova, L. Zhukov
Structural Connectome Validation using Pairwise Classification
The IEEE International Symposium on Biomedical Imaging - 2017
D. Petrov, B. Gutman, A. Ivanov, J. Faskowitz, N. Jahanshad, M. Belyaev, P. Thompson
Residual and Plain Convolutional Neural Networks for 3D Brain MRI Classification
The IEEE International Symposium on Biomedical Imaging - 2017
S. Korolev, A. Safiullin, M. Belyaev, Y. Dodonova
Tetrabenazine and olanzapine in management of Huntington disease: comparative retrospective analysis of data from the worldwide observational study
Neurology - 2017
Y. Seliverstov, A. Borzov, R. Niyazov, M. Belyaev
A modified model for prediction of Huntington disease age of onset based on length of CAG repeat expansion
Movement Disorders - 2017
Y. Seliverstov, E. Shulgina, S. Illarioshkin, M. Belyaev
Classifying Phenotypes Based on the Community Structure of Human Brain Networks
Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics - 2017
A. Kurmukov, M. Ananyeva, Y. Dodonova, B. Gutman, J. Faskowitz, N. Jahanshad, P. Thompson, L. Zhukov
Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging
International Workshop on Machine Learning in Medical Imaging - 2017
D. Petrov, B. Gutman, J. Yu, K. Alpert, A. Zavaliangos-Petropulu, D. Isaev, J. Turner, T. van Erp, L. Wang, L. Schmaal, D. Veltman, P. Thompson
Evaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification
International Conference on Medical Image Computing and Computer-Assisted Intervention - 2017
D. Petrov, A. Ivanov, J. Faskowitz, B. Gutman, D. Moyer, J. Villalon, N. Jahanshad, P. Thompson
MRI Augmentation via Elastic Registration for Brain Lesions Segmentation
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 2017
E. Krivov, M. Pisov, M. Belyaev

2016

Dimensionality Reduction with Isomap Algorithm for EEG Covariance Matrices
4th International Winter Conference on Brain-Computer Interface - 2016
E. Krivov, M. Belyaev
Boosting Connectome Classification via Combination of Geometric and Topological Normalizations
6th International Workshop on Pattern Recognition in Neuroimaging - 2016
D. Petrov, Y. Dodonova, L. Zhukov, M. Belyaev
Filter Bank Extension for Neural Network-Based Motor Imagery Classification
IEEE International Workshop on Machine Learning for Signal Processing - 2016
P. Merinov, E. Krivov, M. Belyaev
Classification of Structural Brain Networks Based on Information Divergence of Graph Spectra
IEEE International Workshop on Machine Learning for Signal Processing - 2016
Y. Dodonova, S. Korolev, A. Tkachev, D. Petrov, L. Zhukov, M. Belyaev
Classification of Brain Networks using Dirichlet Distribution of Graph Spectra
Information Technology and Systems Conference - 2016
A. Tkachev, Y. Dodonova
A Brief Study of Dimensionality Reduction for Mass Spectra Classification
Information Technology and Systems Conference - 2016
M. Pisov, M. Belyaev
The Size of the CAG-Expansion Mutation Can Be Predicted in HD Based on Phenotypic Data Using a Machine Learning Approach
9th European Huntington's Disease Network Plenary Meeting - 2016
Y. Seliverstov, {Enroll-HD investigators}, S. Illarioshkin, B. Landwehrmeyer, M. Belyaev
Kernel Classification of Connectomes Based on Earth Mover’s Distance between Graph Spectra
1st International Workshop on Brain Analysis using Connectivity Networks at MICCAI - 2016
Y. Dodonova, M. Belyaev, A. Tkachev, D. Petrov, L. Zhukov
Classification of Normal and Pathological Brain Networks Based on Similarity in Graph Partitions
The Sixth IEEE ICDM Workshop on Data Mining in Networks - 2016
A. Kurmukov, Y. Dodonova, L. Zhukov

2015

Differences in structural connectomes between typically developing and autism groups
Information Technology and Systems Conference - 2015
D. Petrov, Y. Dodonova, L. Zhukov
The comparison of automatic artifact removal methods with robust classification strategies in terms of EEG classification accuracy
International Conference on Biomedical Engineering and Computational Technologies (SIBIRCON) - 2015
P. Merinov, M. Belyaev, E. Krivov