Sebastian Flassbeck
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Explore the profile of Sebastian Flassbeck including associated specialties, affiliations and a list of published articles.
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25
Citations
79
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Recent Articles
1.
Marchetto E, Flassbeck S, Mao A, Asslander J
ArXiv
. 2025 Jan;
PMID: 39764406
Purpose: The long scan times of quantitative MRI techniques make motion artifacts more likely. For MR-Fingerprinting-like approaches, this problem can be addressed with self-navigated retrospective motion correction based on reconstructions...
2.
Asslander J, Flassbeck S
ArXiv
. 2024 Sep;
PMID: 39314497
Purpose: To identify the predominant source of the variability described in the literature, which ranges from 0.6-1.1 s for brain white matter at 3 T. Methods: 25 -mapping methods from...
3.
Mao A, Flassbeck S, Gultekin C, Asslander J
IEEE Trans Biomed Eng
. 2024 Aug;
72(1):217-226.
PMID: 39163177
Objective: We extend the traditional framework for estimating subspace bases in quantitative MRI that maximize the preserved signal energy to additionally preserve the Cramér-Rao bound (CRB) of the biophysical parameters...
4.
Lutz M, Aigner C, Flassbeck S, Krueger F, Gatefait C, Kolbitsch C, et al.
Magn Reson Med
. 2024 Aug;
92(6):2473-2490.
PMID: 39133639
Purpose: This study aims to map the transmit magnetic field ( ) in the human body at 7T using MR fingerprinting (MRF), with a focus on achieving high accuracy and...
5.
Mao A, Flassbeck S, Asslander J
Magn Reson Med
. 2024 May;
92(4):1638-1648.
PMID: 38703042
Purpose: To develop neural network (NN)-based quantitative MRI parameter estimators with minimal bias and a variance close to the Cramér-Rao bound. Theory And Methods: We generalize the mean squared error...
6.
Mao A, Flassbeck S, Marchetto E, Masurkar A, Rusinek H, Asslander J
medRxiv
. 2024 May;
PMID: 38699343
Magnetization transfer MRI is sensitive to semi-solid macromolecules, including amyloid beta, and has previously been used to discriminate Alzheimer's disease (AD) patients from controls. Here, we fit an unconstrained 2-pool...
7.
Mao A, Flassbeck S, Asslander J
ArXiv
. 2024 Mar;
PMID: 38463512
Purpose: To develop neural network (NN)-based quantitative MRI parameter estimators with minimal bias and a variance close to the Cramér-Rao bound. Theory And Methods: We generalize the mean squared error...
8.
Asslander J, Gultekin C, Mao A, Zhang X, Duchemin Q, Liu K, et al.
Magn Reson Med
. 2023 Dec;
91(4):1478-1497.
PMID: 38073093
Purpose: To explore efficient encoding schemes for quantitative magnetization transfer (qMT) imaging with few constraints on model parameters. Theory And Methods: We combine two recently proposed models in a Bloch-McConnell...
9.
Flassbeck S, Asslander J
Magn Reson Med
. 2023 Nov;
91(3):1067-1074.
PMID: 37994235
Purpose: To minimize eddy current artifacts in periodic pulse sequences with balanced gradient moments as, for example, used for quantitative MRI. Theory And Methods: Eddy current artifacts in balanced sequences...
10.
Mao A, Flassbeck S, Gultekin C, Asslander J
ArXiv
. 2023 Nov;
PMID: 37961734
We extend the traditional framework for estimating subspace bases that maximize the preserved signal energy to additionally preserve the Cramér-Rao bound (CRB) of the biophysical parameters and, ultimately, improve accuracy...