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

1 code implementation • 14 Oct 2020 • Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev

ABIDE is the largest open-source autism spectrum disorder database with both fMRI data and full phenotype description.

Domain Adaptation

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

1 code implementation • 14 Oct 2020 • Ekaterina Kondrateva, Marina Pominova, Elena Popova, Maxim Sharaev, Alexander Bernstein, Evgeny Burnaev

Machine learning and computer vision methods are showing good performance in medical imagery analysis.

BIG-bench Machine Learning

3D Deformable Convolutions for MRI classification

2 code implementations • 5 Nov 2019 • Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev, Sergey Pavlov, Alexander Bernstein, Evgeny Burnaev

Deep learning convolutional neural networks have proved to be a powerful tool for MRI analysis.

Classification General Classification

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

no code implementations • 25 May 2019 • Marina Pominova, Anna Kuzina, Ekaterina Kondrateva, Svetlana Sushchinskaya, Maxim Sharaev, Evgeny Burnaev, and Vyacheslav Yarkin

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.