Simulating Longitudinal and Network Data with Causal Inference Applications
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Updated
Jul 18, 2024 - R
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simulating-data
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Calculating theoretical MRI images with both TI (T1-weighting) and TE (T2-weighting) of choice, from separate T1-weighted and T2-weighted sets of images. (Python 3)
python image python-script image-processing python3 mri image-manipulation python-3 mri-images simulating-data agilent mri-data t2-mapping inversion-recovery t1-mapping t2-weighted t1-weighted-mri simulating-image
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Feb 26, 2024 - Python
Simulating T1-weighted saturation recovery MRI images for arbitrary values of TR from a set of T1-weighted inversion recovery MRI images. (Python 3)
python image python-script image-processing python3 mri image-manipulation python-3 mri-images simulating-data agilent mri-data inversion-recovery t1-mapping t1-weighted-mri simulating-image saturation-recovery
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Feb 26, 2024 - Python
Comparing three different Generalized Thresholding Estimators For Large Covariance Matrices. soft-thresholding, hard-thresholding, and adaptive-soft-thresholding Estimators.
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Feb 8, 2022 - R
Simulating T1- and T2-weighted MRI images with arbitrary values of TI or TE, respectively. (Python 3)
python image python-script image-processing python3 mri image-manipulation python-3 mri-images simulating-data agilent mri-data t2-mapping t1-mapping t2-weighted t1-weighted-mri simulating-image
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Feb 26, 2024 - Python
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