Sophie Schauman's repositories
sophieschau.github.io
personal website
MRF_demo_ISMRM2022
Demo of MRF processing pipeline used for data presented at ISMRM 2022 (program number 53)
SILVER
Set Increment with Limited Views Enhancing Ratio
deepbedmap
Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.
git-for-collaborative-documentation
Repo for practicing contributing to other people's documentation and creating your own with GitHub Pages
Multidimensional_PSF
Radial sampling interactions in multi-dimensional sparse encoding problems using a joint decoding-reconstruction framework. Presented at ISMRM Annual Meeting 2020 in abstract #3683, S Sophie Schauman, Thomas W Okell, Mark Chiew.
Accelerated_TEASL
Reconstruction methods for Time Encoded Arterial Spin Labeling Angiography, as presented at ISMRM Annual Meeting 2020 in abstract #629, Highly Accelerated Time-Encoded Dynamic ASL Angiography, S Sophie Schauman, Joseph G Woods, Mark Chiew, Thomas W Okell.
Accelerated_VEASL
The methods used to generate simulated and acquired VE-ASL angiograms for Schauman SS, Chiew M, Okell TW, “Highly Accelerated Vessel-Selective Arterial Spin Labelling Angiography using Sparsity and Smoothness Constraints”, Magnetic Resonance in Medicine, 2019
TheImagedBrain
Public Engagement tool used by the Wellcome Centre for Integrative Neuroimaging (WIN) to explain how MRI scanners create images by combining spatial waves.