Johns Hopkins University

Introduction to Neurohacking In R

Dr. Elizabeth Sweeney
Ciprian M. Crainiceanu
John Muschelli III

Instructors: Dr. Elizabeth Sweeney

24,078 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.6

(305 reviews)

Intermediate level
Some related experience required
Flexible schedule
Approx. 17 hours
Learn at your own pace
93%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.6

(305 reviews)

Intermediate level
Some related experience required
Flexible schedule
Approx. 17 hours
Learn at your own pace
93%
Most learners liked this course

Details to know

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Assessments

26 assignments

Taught in English

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This course is part of the Neuroscience and Neuroimaging Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

What's included

3 videos1 reading1 assignment

In this section, we will discuss different formats that brain images come in, as well as some of the commonly done magnetic resonance imaging (MRI) scans.

What's included

7 videos6 assignments

In this section, we will discuss the steps done to process brain MRI data. We will discuss inhomogeneity correction, brain extraction or skull stripping, and various image registration techniques.

What's included

9 videos9 assignments

In this section, we will discuss the different types of registration and how one would go through processing a multi-sequence MRI scan, as well as wrapper functions that make the process much easier. We also cover interactive exploration of brain image data and tissue-level (white/gray matter and cerebrospinal fluid (CSF)) segmentation from a T1-weighted image.

What's included

11 videos1 reading10 assignments

Instructors

Instructor ratings
4.5 (46 ratings)
Dr. Elizabeth Sweeney
Johns Hopkins University
1 Course24,078 learners

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4.6

305 reviews

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JS
5

Reviewed on Jan 18, 2017

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5

Reviewed on Jul 17, 2017

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Reviewed on Sep 3, 2016

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