John Hopkins University - Introduction to Neurohacking In R
- Offered byCoursera
Introduction to Neurohacking In R at Coursera Overview
Duration | 18 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Introduction to Neurohacking In R at Coursera Highlights
- 20% started a new career after completing these courses.
- 10% got a tangible career benefit from this course.
- Earn a certificate from the university of Johns Hopkins upon completion of course.
Introduction to Neurohacking In R at Coursera Course details
- Neurohacking describes how to use the R programming language (https://cran.r-project.org/) and its associated package to perform manipulation, processing, and analysis of neuroimaging data. We focus on publicly-available structural magnetic resonance imaging (MRI). We discuss concepts such as inhomogeneity correction, image registration, and image visualization.
- By the end of this course, you will be able to:
- Read/write images of the brain in the NIfTI (Neuroimaging Informatics Technology Initiative) format
- Visualize and explore these images
- Perform inhomogeneity correction, brain extraction, and image registration (within a subject and to a template).
Introduction to Neurohacking In R at Coursera Curriculum
Introduction
Meet the Team
Introduction
Structural MRI and R
Syllabus
Theme 1 Quiz
Neuroimaging: Formats and Visualization
Data Structures and Operations
The NIfTI Format
Basic Visualization 1
Basic Visualization 2
Basic Data Manipulation
Transformations and Smoothing
Basic MRI Contrasts
Theme 2 Lecture 1 Quiz
Theme 2 Lecture 2 Quiz
Theme 2 Lecture 3 Quiz
Theme 2 Lecture 4 Quiz
Theme 2 Lecture 5 Quiz
Theme 2 Lecture 6 Quiz
Image Processing
Preprocessing: An Overview
Registration
fslr: System Requirements
Bias Field Correction Using fslr
Brain Extraction using fslr
Image Registration Using fslr
Installing ANTsR
Basic Data Manipulation with ANTsR
Pre-Processing with ANTSR
Theme 3 Quiz 1
Theme 3 Quiz 2
Theme 3 Quiz 3
Theme 3 Quiz 4
Theme 3 Quiz 5
Theme 3 Quiz 6
Theme 3 Quiz 7
Theme 3 Quiz 8
Theme 3 Quiz 9
Extended Image Processing
Advanced Brain Image Processing
Co-Registration using fslr
Co-Registration using ANTsR
Wrapper Functions for Processing Pipelines
Across-Visit Co-Registration of T1 Images
Rigid Registration to a Template
Affine Registration of T1 to Template
Nonlinear Registration of T1 to Template
Getting ROI Anatomic Information from Non-Linear Registration
Tissue-Level Segmentation
Papayar: Interactively Viewing Images in R
Papayar Script
Theme 4 Quiz 1
Theme 4 Quiz 2
Theme 4 Quiz 3
Theme 4 Quiz 4
Theme 4 Quiz 5
Theme 4 Quiz 6
Theme 4 Quiz 7
Theme 4 Quiz 8
Theme 4 Quiz 9
Theme 4 Quiz 10
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