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Optimization constraints for dMRI

Presented by Tom Dela Haije Prof. Haije of the University of Copenhagen will talk about his recent invention to improve the feasibility of fitting dMRI models. Synopsis: Prof. Haije will introduce the concept of semidefinite programming and explain how this can be applied to a series of different models improving fitting ability and statistical prediction. This is a talk on the importance of constrained optimization for dMRI analysis. Dr. Haije will explain how to improve our models moving forward. Keynote during DIPY Workshop 2022 - Online Edition More information on: https://dipy.org or https://dipy.org/workshops/dipy-works... Please cite: ------------------ Garyfallidis E, Brett M, Amirbekian B, Rokem A, van der Walt S, Descoteaux M, Nimmo-Smith I and Dipy Contributors (2014). DIPY, a library for the analysis of diffusion MRI data. Frontiers in Neuroinformatics, vol.8, no.8. To install: ---------------- pip install -U dipy conda install -c conda-forge dipy To ask questions, there is a forum here: --------------------------------------------------------------- DIPY Forum: https://github.com/dipy/dipy/discussions To ask quick questions, there is a live chatroom here: ------------------------------------------------------------------------------------- DIPY Gitter: https://gitter.im/dipy/dipy To report any issues please go here: ---------------------------------------------------------- DIPY GitHub: https://github.com/dipy/dipy/issues To get recent news via our mailing list ([email protected]): https://mail.python.org/mailman3/list... Follow us on Twitter:   / dipymri   Follow us on Linkedin:   / dipy   #dipy #diffusionimaging #dti #tracking #tractography #diffusionmri #mri #tractometry #connectomics #brain #python #dipymri #microstructure #deeplearning #registration #segmentations #simulation #medical #imaging #brain #machinelearning #signalprocessing Thank you!