Výsledky vyhledávání - "Pominova, Marina"

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Fader Networks for domain adaptation on fMRI: ABIDE-II study

Autor: Pominova, Marina, Kondrateva, Ekaterina, Sharaev, Maxim, Bernstein, Alexander, Burnaev, Evgeny

Publikováno v: ICMV2020

ABIDE is the largest open-source autism spectrum disorder database with both fMRI data and full phenotype description. These data were extensively studied based on functional connectivity analysis as well as with deep learning on raw data, with top m

Externí odkaz: http://arxiv.org/abs/2010.07233

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Domain Shift in Computer Vision models for MRI data analysis: An Overview

Autor: Kondrateva, Ekaterina, Pominova, Marina, Popova, Elena, Sharaev, Maxim, Bernstein, Alexander, Burnaev, Evgeny

Publikováno v: ICMV2020

Machine learning and computer vision methods are showing good performance in medical imagery analysis. Yetonly a few applications are now in clinical use and one of the reasons for that is poor transferability of themodels to data from different sour

Externí odkaz: http://arxiv.org/abs/2010.07222

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3D Deformable Convolutions for MRI classification

Autor: Pominova, Marina, Kondrateva, Ekaterina, Sharaev, Maksim, Pavlov, Sergey, Bernstein, Alexander, Burnaev, Evgeny

Deep learning convolutional neural networks have proved to be a powerful tool for MRI analysis. In current work, we explore the potential of the deformable convolutional deep neural network layers for MRI data classification. We propose new 3D deform

Externí odkaz: http://arxiv.org/abs/1911.01898

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Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction

Autor: Pominova, Marina, Kuzina, Anna, Kondrateva, Ekaterina, Sushchinskaya, Svetlana, Sharaev, Maxim, Burnaev, Evgeny, Yarkin, and Vyacheslav

Publikováno v: ABCD Neurocognitive Prediction Challenge, Springer LNCS, 2019

In this work, we aim at predicting children's fluid intelligence scores based on structural T1-weighted MR images from the largest long-term study of brain development and child health. The target variable was regressed on a data collection site, soc

Externí odkaz: http://arxiv.org/abs/1905.10550

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