dwi
Here are 46 public repositories matching this topic...
Fitting of three diffusion models to data acquired using combined T2-DWI.
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Jul 17, 2021 - MATLAB
Detection of structural alterations in episodic migraine using a graph theory approach. This project was done in the scope of my Master's Thesis in Biomedical Engineering.
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Aug 23, 2023 - MATLAB
Scripts related to "Longitudinal changes of ADHD symptoms in association with white matter microstructure: A tract-specific fixel-based analysis"
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Jul 17, 2023 - Shell
Diffusion Weighted Imaging (DWI) line artifact removal
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Jun 30, 2023 - Python
Musculoskeletal MRI: diffusion tensor imaging, tractography, orientation distribution function, elevation and pennation angle, torsional shear models, with data set available
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Jul 8, 2024
Scripts related to "Associations between attention-deficit hyperactivity disorder (ADHD) symptom remission and white matter microstructure: A longitudinal analysis"
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Jul 17, 2023 - Shell
Code used for study design, MRI data processing, statistical analysis and figures in the article U-shape short-range extrinsic connectivity organisation around the human central sulcus
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May 9, 2021 - Python
Scripts related to "White Matter Microstructure in Attention-Deficit/Hyperactivity Disorder: A Systematic Tractography Study in 654 Individuals"
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Jul 17, 2023 - Shell
Scripts related to "Exploring the relationships between sensory processing sensitivity, decision-making, and brain white matter microstructure"
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Jun 18, 2024 - R
This is a jupyter notebook with all the basic and necessary steps for dwi preprocessing with CSD. This is basically a transcript/notebook version of Dr. Andrew Jahn's YouTube tutorials (https://youtube.com/playlist?list=PLIQIswOrUH68Zi9SVDAdcUExpq2i6A2eD&feature=shared).
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Dec 18, 2023 - Jupyter Notebook
PUMI: neuroimaging Pipelines Using Modular workflow Integration
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Nov 13, 2024 - Python
FENRI (Fiber Orientations from Explicit Neural Representations) Implementation Repository, presented at the ISBI 2024 conference
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Aug 12, 2024 - Jupyter Notebook
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