2 citations · 2 across the 5 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
eess.IV2019
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…
eess.IV2019
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…