4 papers
Fader Networks for domain adaptation on fMRI: ABIDE-II study
Marina Pominova, Ekaterina Kondrateva, Maxim Sharaev +2
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 conne…
Domain Shift in Computer Vision models for MRI data analysis: An Overview
Ekaterina Kondrateva, Marina Pominova, Elena Popova +3
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…
3D Deformable Convolutions for MRI classification
Marina Pominova, Ekaterina Kondrateva, Maksim Sharaev +3
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 neura…
Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction
Marina Pominova, Anna Kuzina, Ekaterina Kondrateva +4
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 he…