3 papers
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…
cs.CV2018
fMRI: preprocessing, classification and pattern recognition
Maxim Sharaev, Alexander Andreev, Alexey Artemov +5
As machine learning continues to gain momentum in the neuroscience community, we witness the emergence of novel applications such as diagnostics, characterization, and treatment ou…
cs.CV2018
Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry
Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva +5
We consider a problem of diagnostic pattern recognition/classification from neuroimaging data. We propose a common data analysis pipeline for neuroimaging-based diagnostic classifi…