Unlock the potential of neuroimaging data with Introduction to Neurohacking In R. This course, offered by Johns Hopkins University, delves into the application of the R programming language for the manipulation, processing, and analysis of publicly-available structural MRI. Through this comprehensive learning experience, you will master the ability to read and write brain images in the NIfTI format, explore and visualize these images, and execute inhomogeneity correction, brain extraction, and image registration.
Structured into modules, the course covers a range of topics including neuroimaging formats and visualization, image processing, and extended image processing. Each module provides a deep dive into relevant concepts and techniques, ensuring that you acquire a thorough understanding of the subject matter.
By the conclusion of the course, you will possess the proficiency to perform in-depth analysis and manipulation of neuroimaging data using the R programming language, enhancing your capabilities in the field of neurohacking.
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This comprehensive course is divided into modules covering neuroimaging formats and visualization, image processing, and extended image processing, providing a deep understanding of each concept.
Introduction to the course and the team behind it, along with an overview of structural MRI and its application in R.
Explore neuroimaging formats, basic visualization, data manipulation, transformations, and MRI contrasts, providing a foundation for subsequent modules.
Gain insights into image preprocessing, registration, and manipulation using fslr and ANTsR, essential for effective neuroimaging analysis.
Dive into advanced brain image processing, co-registration, and tissue-level segmentation, further enhancing your neuroimaging analysis skills.
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