Machine Learning pipeline for discovering neuroimaging-based biomarkers in neurology and psychiatry

no code implementations • 26 Apr 2018 • Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Maxim Sharaev, Alexander Andreev, Alexey Artemov, Renat Akzhigitov

We consider a problem of diagnostic pattern recognition/classification from neuroimaging data.

BIG-bench Machine Learning Classification +1

fMRI: preprocessing, classification and pattern recognition

no code implementations • 26 Apr 2018 • Maxim Sharaev, Alexander Andreev, Alexey Artemov, Alexander Bernstein, Evgeny Burnaev, Ekaterina Kondratyeva, Svetlana Sushchinskaya, Renat Akzhigitov

As machine learning continues to gain momentum in the neuroscience community, we witness the emergence of novel applications such as diagnostics, characterization, and treatment outcome prediction for psychiatric and neurological disorders, for instance, epilepsy and depression.

Classification General Classification