Maria Zubrikhina's repositories
eeg_depression
machine learning models for predicting depression based on EEG data
multimodal_DL
Multimodal deep learning in neuroimaging
fmri_cobre
Deep learning model for predicting Schizophrenia vs Control on COBRE dataset.
Attention-Gated-Networks
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
DeformCNNAE
2D and 3D deformable CNN Autoencoders
preprocessing_fmri_dti
This repo is provided pipeline for preprocessing fmri & dti data to functional and structural connectivity matrices
denoising_module
Модуль для удаления шума с аудио
DL
Курс "Глубокое обучение (Deep Learning)" (ВМК, МГУ имени М.В. Ломоносова)
docs
The open-source repo for docs.github.com
intensities_T1
The repo helps to extract intensities around particular voxel from T1/T2 MRI
MEGformer
Training and evaluation pipeline for MEG and EEG brain signal encoding and decoding using deep learning. Code for our paper "Decoding speech perception from non-invasive brain recordings" published in Nature Machine Intelligence, 2023.
multimodal-deep-learning
This repository contains various models targetting multimodal representation learning, multimodal fusion for downstream tasks such as multimodal sentiment analysis.
UKBiobank_deep_pretrain
Pretrained neural networks for UK Biobank brain MRI images. SFCN, 3D-ResNet etc.