|
1 |
Learned discrepancy reconstruction and benchmark dataset for magnetic particle imaging
Iske, Meira. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2025
|
|
|
|
2 |
Dynamic image reconstruction with motion priors in application to three dimensional magnetic particle imaging
Brandt, Christina. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2024
|
|
|
|
3 |
Equilibrium model with anisotropy for model-based reconstruction in magnetic particle imaging
Maass, Marco. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2024
|
|
|
|
4 |
Experimental parameter calibration of the scanner model for model-based MPI
Thieben, Florian. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2024
|
|
|
|
5 |
Magnetic particle imaging with non-oriented immobilized particles : why the Langevin model of paramagnetism is sufficient
Maass, Marco. - Hamburg : Technische Universität Hamburg. Universitätsbibliothek, 2024
|
|
|
|
6 |
Exploiting the Fourier Neural Operator for faster magnetization model evaluations based on the Fokker-Planck equation
Knopp, Tobias. - Hamburg : Universitätsbibliothek der Technischen Universität Hamburg, 2023
|
|
|
|
7 |
Limitations of current MPI models in the context of fluid dynamics
Möddel, Martin. - Hamburg : Universitätsbibliothek der Technischen Universität Hamburg, 2023
|
|
|
|
8 |
Model-based calibration and image reconstruction with immobilized nanoparticles
Albers, Hannes. - Hamburg : Universitätsbibliothek der Technischen Universität Hamburg, 2023
|
|
|
|
9 |
Estimating the spatial orientation of immobilized magnetic nanoparticles with parallel-aligned easy axes
Möddel, Martin. - Hamburg : Universitätsbibliothek der Technischen Universität Hamburg-Harburg, 2021
|
|
|
10 |
Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset
Enthalten in International journal on magnetic particle imaging Bd. 7, 2021, Nr. 1
|
|
Administration
