Optimization constraints for dMRI
Автор: Diffusion Imaging in Python - DIPY
Загружено: 2022-09-09
Просмотров: 226
Описание:
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:
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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:
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pip install -U dipy
conda install -c conda-forge dipy
To ask questions, there is a forum here:
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