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学生对 约翰霍普金斯大学 提供的 Introduction to Neurohacking In R 的评价和反馈

4.6
160 个评分
29 审阅

课程概述

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)....

热门审阅

BR

Feb 09, 2017

I like that this course goes through most necessary steps, my only suggest would be to have one additional week where you go through everything all together, and then do some simple group analysis.

SJ

May 08, 2019

Thank you for the wonderful course. Especially useful when the team explains every new line of code. As a current undergraduate and aspiring neuroscience researcher, this is tremendously helpful.

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1 - Introduction to Neurohacking In R 的 25 个评论(共 27 个)

By Sim W K J

May 08, 2019

Thank you for the wonderful course. Especially useful when the team explains every new line of code. As a current undergraduate and aspiring neuroscience researcher, this is tremendously helpful.

By Zaeem H

Apr 10, 2019

I was expecting teaching but they are simply reading code from slides. Big let down.

By Jinyi K

Dec 28, 2018

Great intro class. Recommended.

By Al-Rashid J

Apr 14, 2018

Great course. Learned quite a lot from the course. Only problem was the difficulty at first with the software and libraries stubbornly refusing to get setup. But, after realizing there was a VM provided with all intended software installed, everything was smooth sailing from there.

By Mehdi N T

Apr 05, 2018

Great concise walk-through of neuro-imaging techniques. Low quality audio and a lot of background noise though.

By Brion J

Mar 07, 2018

Student presenters are not as good as professors.

By ANSHAY A

Feb 15, 2018

Should have more practical work

By Jonathan G

Feb 02, 2018

this course was misleading and boring as hell! You're supposed to learn the function of an MRI and what diseases to look for that would've been a more relevant course. It just talked about different computer systems and how an MRI functions.

By Miriam M

Nov 21, 2017

fxhfg

By Tiago A

Sep 15, 2017

Nice contents but: questions not being answered in the forums. Online content from github (where in fact are the scripts and data) is somewhat confusing

By Ankit S

Aug 26, 2017

I am really appreciate this course. Its good to have a structured course on these complex topics.

By Srihari S

Aug 21, 2017

Perhaps links to some materials regarding explanation of the data could be provided.

By KJ B

Aug 03, 2017

Very basic, could be clearer.

By Lara P

Jul 28, 2017

Very comprehensive step-by-step introduction to imaging analyses using R. Also includes helpful information on the nature of files and processes. I am not sure that I will do my imaging analyses using R but still found this to be a very useful introduction to the topic.

By Anna N

Jul 18, 2017

Perfect! Precise to the subject and provides a lot of hands-on details, which is, unfortunately, something that most other similar courses don't do. Absolutely loved it!

By salvador g d l

May 18, 2017

It was a really good course, thank you!

By Chandan V

May 17, 2017

Great course....medical imaging techniques at its best :)

By Freeman

Apr 26, 2017

Wonderful course. I have mastered much about neurohacking using R programming, and learned about the preprocess step in neuroimaging analysis.

By Aman M

Mar 05, 2017

All the lecture were thorough and good.

By Malte G

Mar 02, 2017

Really good introduction.

By Navchetan A

Feb 14, 2017

Good course for the basics of neurohacking.

By Brandy R

Feb 09, 2017

I like that this course goes through most necessary steps, my only suggest would be to have one additional week where you go through everything all together, and then do some simple group analysis.

By JM S

Jan 19, 2017

It would have been better if there were practical exercises, nevertheless it was very comprehensive for basic procedures of fMRI analysis.

By mohammed o

Oct 18, 2016

Really nice!

By Fernando M

Sep 19, 2016

Very good as introduction to this area of implementation , It will be very interesting to create another course with more advanced topics.