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Apr 15, 2017 · We propose to use machine learning to estimate these parameters, here permeability. Simulation results show an excellent agreement between estimations and ...
We test our method using simulated and in vivo human brain data. Simulation results show that our approach provides a marked improvement over the most widely ...
We construct a computational model using Monte Carlo simulations and machine learning (specifically here a random forest regressor) in order to ...
Machine Learning Based Compartment Models with Permeability for White Matter Microstructure Imaging. Conference paper. pp 257–264; Cite this conference paper.
Apr 27, 2024 · Here, we propose to use computational models learned from simulations to estimate these parameters. We demonstrate the approach in an example ...
Machine Learning Based Compartment Models with Permeability for White Matter. Microstructure Imaging. Gemma L. Nedjati-Gilani1, Torben Schneider2 Matt G ...
Jan 1, 2021 · The aim of this study is to experimentally test a machine learning based computational model with permeability using a highly controlled ...
Machine Learning Based Compartment Models with Permeability for White Matter Microstructure Imaging. https://doi.org/10.1007/978-3-319-10443-0_33 · Full text.
The aim of this thesis is to develop the first machine learning based computational model for white matter microstructure imaging using two promising approaches ...
Missing: compartment | Show results with:compartment
Feb 17, 2020 · Machine learning based compartment models with permeability for white matter microstructure imaging. NeuroIm- age, 150:119–135, 2017. Page ...