Skip to main content

Ctrl+K

Welcome to the Neuroimaging and Machine Learning for Biomedicine coursebook

Introduction

Links
Intro to shell
How to work with Python
Intro to ML
Machine learning fundamentals on medical data
Pytorch fundamentals
Intro to computer vision

Seminar 1. Opening Seminar

Lecture Notes
Motivation & Overview

Seminars 2-3. Working with EEG

Seminars 2 and 3. EEG analysis

Seminars 4-5. Working with MRI

Preparation to Seminar 4
Seminar 4.1. MRI data analysis, databases and tools
Transformations
FREESURFER
Seminar 5.1. MRI classification with classic ML
Seminar 5.2. MRI classification with 3D CNN
Seminar 5.3. MRI segmentation with 3D U-net

Seminars 6-8. Working with fMRI

Preparation to Seminar 6-8
Summary of Seminar 6-7
Seminar 6. Preprocessing pipeline for task-based fMRI
Seminar 7.1. 1st-level fMRI data analysis
Seminar 7.2. 2st-level (Group) Analysis
Seminar 8.1. Analyze task-based fMRI for motor and emotion task
Seminar 8.2. Functional connectivity

Seminar 9. Interpretation

Seminar 9. Interpretation of 3D CNNs for Brain MRI Data Classification

Repository
Open issue

Search

Ctrl+K

By Nadezhda Alsahanova, Aleksandra Beliaeva

© Copyright 2023.