Search Results for author: Jakob Assländer

Found 3 papers, 1 papers with code

Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI

no code implementations13 Nov 2023 Andrew Mao, Sebastian Flassbeck, Jakob Assländer

Purpose: To develop neural network (NN)-based quantitative MRI parameter estimators with minimal bias and a variance close to the Cram\'er-Rao bound.

Computational Efficiency

Cramér-Rao bound-informed training of neural networks for quantitative MRI

1 code implementation22 Sep 2021 Xiaoxia Zhang, Quentin Duchemin, Kangning Liu, Sebastian Flassbeck, Cem Gultekin, Carlos Fernandez-Granda, Jakob Assländer

We find, however, that in heterogeneous parameter spaces, i. e. in spaces in which the variance of the estimated parameters varies considerably, good performance is hard to achieve and requires arduous tweaking of the loss function, hyper parameters, and the distribution of the training data in parameter space.

Magnetic Resonance Fingerprinting

Multicompartment Magnetic Resonance Fingerprinting

no code implementations28 Feb 2018 Sunli Tang, Carlos Fernandez-Granda, Sylvain Lannuzel, Brett Bernstein, Riccardo Lattanzi, Martijn Cloos, Florian Knoll, Jakob Assländer

Magnetic resonance fingerprinting (MRF) is a technique for quantitative estimation of spin-relaxation parameters from magnetic-resonance data.

Medical Physics Numerical Analysis Numerical Analysis Optimization and Control

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