Researchers have used ensemble methods based on deep learning 3D analysis networks to answer the global Magnetic Resonance Imaging (MRI) prevision challenge for children. Importantly they made predictions for both the fluid intelligence level and the target variable independent from age gender brain size or MRI scanner used. MRI is a common technique used to obtain images of human internal organs and tissues. Scientists wondered whether the intelligence level can be predicted from an MRI brain image. Our team develops deep learning methods for computer vision tasks in MRI data analysis amongst other things said study researcher Ekaterina Kondratyev from