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Predicting Age Groups using Brain Imaging Quality Data
the article is written by Kadir Uludag. Predicting Age Groups using Brain Imaging Quality Data Kadir Uludag, MS1,2* 1CAS Key Laborat... [Read More]
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MRI data analysis | Max Planck Institute for Human Cognitive and Brain Sciences
Analysis and interpretation of structural MRI data Image analysis is a core technique for extracting information about brain structure fr... [Read More]
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Brain Imaging Studies of Intelligence and Creativity: What is the Picture for Education?
The goal of this article is to summarize current brain research on intelligence and creativity that may be relevant to education in the near future. Five issues are addressed: (a) Why is there ... [Read More]
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The physics of functional magnetic resonance imaging (fMRI)
Abstract Functional magnetic resonance imaging (fMRI) is a methodology for detecting dynamic patterns of activity in the working human brain. Although the initial disc... [Read More]
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Chapter 4: Slice-Timing Correction — Andy's Brain Book 1.0 documentation
Chapter 4: Slice-Timing CorrectionUnlike a photograph, in which the entire picture is taken in a single moment, an fMRI volume is acquired in slices. Each of these slices takes time to acquire - ... [Read More]
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Intro to Brain Imaging (fMRI)
Introduction In this chapter we will turn to an introduction to neuroimaging data and specifically to functional magnetic resonance imaging (fMRI). Functional MRI is an ... [Read More]
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Dyconnmap: Dynamic connectome mapping—A neuroimaging python module
Abstract Despite recent progress in the analysis of neuroimaging data sets, our comprehension of the main mechanisms and principles which g... [Read More]
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On the Manifold Structure of the Space of Brain Images | SpringerLink
This paper investigates an approach to model the space of brain images through a low-dimensional manifold. A data driven method to learn a manifold from a collections of brain images is proposed. ... [Read More]
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Estimating CT Image From MRI Data Using Structured Random Forest and Auto-Context Model
Computed tomography (CT) imaging is an essential tool in various clinical diagnoses and radiotherapy treatment planning. Since CT image intensities are directly related to positron emission tomo... [Read More]
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What is the difference between Dicom and Nifti images? - PYCAD
The Dicom image is a 2D slice instead of a Nifti file is a set of 2D slices which create a volume file that represente a part of the body. [Read More]
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Frontiers | Editorial: Recent Advances and Challenges on Big Data Analysis in Neuroimaging | Neuroscience
Editorial: Recent Advances and Challenges on Big Data Analysis in NeuroimagingIn its Big Data to Knowledge initiative, the US National Institutes of Health notes the wealth of biomedical and behavio... [Read More]
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MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites
Quality control of MRI is essential for excluding problematic acquisitions and avoiding bias in subsequent image processing and analysis. Visual inspection is subjective and impractical for large scal... [Read More]
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Add "settings" to the JSON payload · Issue #443 · nipreps/mriqc · GitHub
Selection of AFNI vs FSL for motion correction and other choices can lead to a systematic bias in scores. We should record them to be able to group the crowdsourced data better. [Read More]