Making smart use of PDEs beats plain GZIP for lossless compression of #DiffusionMRI data by more than 30%.
Work by Ikram Jumakulyyev, recently published in JMIV.
OA paper: https://link.springer.com/article/10.1007/s10851-023-01144-z

Many have used bootstrapping for probabilistic tractography, but have you ever considered computing a bootstrap consensus to reduce uncertainty in #diffusionMRI? Our OA journal paper on this is now out http://doi.org/10.1111/cgf.14724 extending last year's VCBM paper on fiber tracking with model averaging.

FYI scientists esp #radiologists and those involved in #neurosciences

Clinica: An Open-Source Software Platform for Reproducible Clinical #Neuroscience Studies

https://www.frontiersin.org/articles/10.3389/fninf.2021.689675/full

Clinica is a set of automatic pipelines for processing and analysis of multimodal #neuroimaging data (T1-weighted #MRI, #DiffusionMRI, and #PET data) & tools for statistics, #MachineLearning, and #DeepLearining
It relies on the #BrainImaging data structure (BIDS)