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.
Este curso faz parte do Programa de cursos integrados Neuroscience and Neuroimaging
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Programa de cursos integrados Neuroscience and NeuroimagingUniversidade Johns HopkinsInformações sobre o curso
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Curso 4 de 4 no
NÃvel intermediário
Aprox. 18 horas para completar
Inglês
Legendas: Francês, Portuguese (European), Russo, Inglês, Espanhol
Habilidades que você terá
- Image Processing
- Brain
- R Programming
- Neurology
Prazos flexÃveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 4 de 4 no
NÃvel intermediário
Aprox. 18 horas para completar
Inglês
Legendas: Francês, Portuguese (European), Russo, Inglês, Espanhol
oferecido por
Universidade Johns Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Programa - O que você aprenderá com este curso
1 hora para concluir
Introduction
1 hora para concluir
3 vÃdeos (Total 30 mÃn.), 1 leitura, 1 teste
4 horas para concluir
Neuroimaging: Formats and Visualization
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.
4 horas para concluir
7 vÃdeos (Total 74 mÃn.)
6 horas para concluir
Image Processing
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.
6 horas para concluir
9 vÃdeos (Total 71 mÃn.)
7 horas para concluir
Extended Image Processing
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.
7 horas para concluir
11 vÃdeos (Total 101 mÃn.), 1 leitura, 10 testes
Avaliações
- 5 stars70,65%
- 4 stars22,82%
- 3 stars4,34%
- 2 stars1,08%
- 1 star1,08%
Principais avaliações do INTRODUCTION TO NEUROHACKING IN R
por CV16 de mai de 2017
Great course....medical imaging techniques at its best :)
por AS25 de ago de 2017
I am really appreciate this course. Its good to have a structured course on these complex topics.
por JS18 de jan de 2017
It would have been better if there were practical exercises, nevertheless it was very comprehensive for basic procedures of fMRI analysis.
por RK20 de ago de 2020
Nice Course.Wonderful material.Enjoyed learning it.
Sobre Programa de cursos integrados Neuroscience and Neuroimaging
This specialization combines the strength of 4 different neuroscience courses into a cohesive learning experience. Taught by Johns Hopkins University, it begins with fundamental neuroscience concepts for neuroimaging. Neuroimaging methods are used with increasing frequency in clinical practice and basic research. Starting with the neuroanatomy of the brain, it then moves into principles of neuroimaging, including experimental design in neuroimaging, functional connectivity MRI, diffusion tensor imaging and spectroscopy imaging.
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