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Comentários e feedback de alunos de Introduction to Neurohacking In R da instituição Universidade Johns Hopkins

4.6
estrelas
272 classificações

Sobre o curso

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)....

Melhores avaliações

BR

8 de fev de 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

7 de mai de 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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26 — 49 de 49 Avaliações para o Introduction to Neurohacking In R

por Navchetan A

13 de fev de 2017

Good course for the basics of neurohacking.

por robbie m

3 de set de 2020

Love the in depth explanations of the R!

por Jinyi K

28 de dez de 2018

Great intro class. Recommended.

por Malte G

2 de mar de 2017

Really good introduction.

por Anqi Z

10 de nov de 2020

very hands on

por mohammed o

18 de out de 2016

Really nice!

por Alexander J

13 de out de 2019

thank you!

por Amar S

8 de mai de 2020

fabulous

por Fidel G

16 de jul de 2019

It was a great experience going through the processes of ways of viewing, manipulating and extracting data from brain scan images. With few bumps on the way I keep focusing on the knowledge that I gain which I may apply into a future project of machine learn.

por Aleksandr S

27 de mar de 2020

Great course! Just please delete the 10-second introduction before each video. It makes the most horrible sound. Other than that, amazing course

por Mehdi N T

5 de abr de 2018

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

por Srihari S

21 de ago de 2017

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

por Brion J

7 de mar de 2018

Student presenters are not as good as professors.

por Salvador G

18 de mai de 2017

It was a really good course, thank you!

por Aman M

5 de mar de 2017

All the lecture were thorough and good.

por ANSHAY A

15 de fev de 2018

Should have more practical work

por 向振亞

31 de jul de 2022

很棒的課程了解R如何被運用在影像分析上,R們想得更寬廣

por Miriam M

21 de nov de 2017

fxhfg

por Tiago A

15 de set de 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

por Byurakn I

25 de jun de 2021

While a really important course, it would work much better with some hands-on exercises.

por KJ B

3 de ago de 2017

Very basic, could be clearer.

por Andres V T

30 de nov de 2020

It was ok.

por Jonathan G

2 de fev de 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.

por Zaeem H

10 de abr de 2019

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