E-LIB Suche - Ergebnisse für: van Rienen, Ursula

1

Multi-objective shape optimization of TESLA-like cavities: ..:

Putek, Piotr ; Zadeh, Shahnam Gorgi ; van Rienen, Ursula
Journal of Computational Physics. 513 (2024) - p. 113125 , 2024

Link: https://doi.org/10.1016/..

2

25 Years Computational Electromagnetics @ SCEE:

, In: Scientific Computing in Electrical Engineering; Mathematics in Industry,

van Rienen, Ursula - p. 111-122 , 2024

Link: https://doi.org/10.1007/..

3

Addressing Model Uncertainties in Finite Element Simulation..:

Raben, Hendrikje ; Kämmerer, Peer Wolfgang ; van Rienen, Ursula
IEEE Transactions on Biomedical Engineering. , 2024

Link: https://doi.org/10.1109/..

4

Deriving Models of Cartilaginous Cells From Confocal Fluore..:

Che, Vien Lam ; Zimmermann, Julius ; Zhou, Yilu..
IEEE Transactions on Magnetics. 60 (2024) 3 - p. 1-4 , 2024

Link: https://doi.org/10.1109/..

5

Subthalamic nucleus but not entopeduncular nucleus deep bra..:

Fauser, Mareike ; Payonk, Jan Philipp ; Weber, Hanna...
Frontiers in Cellular Neuroscience. 18 (2024) - p. , 2024

Link: https://doi.org/10.3389/..

6

Understanding the impact of modiolus porosity on stimulatio..:

Sriperumbudur, Kiran K. ; Appali, Revathi ; Gummer, Anthony W..
Scientific Reports. 14 (2024) 1 - p. , 2024

Link: https://doi.org/10.1038/..

7

Validation-Oriented Modelling of Electrical Stimulation Cha..:

, In: Scientific Computing in Electrical Engineering; Mathematics in Industry,

Che, Lam Vien ; Zimmermann, Julius ; Bathel, Henning... - p. 53-60 , 2024

Link: https://doi.org/10.1007/..

8

Design and Optimisation of a Double-Notch DQW HOM Coupler:

, In: 2023 International Conference on Electromagnetics in Advanced Applications (ICEAA),

Udongwo, Sosoho-Abasi ; Van Rienen, Ursula - p. 310-310 , 2023

Link: https://doi.org/10.1109/..

9

Lead-DBS v3.0: Mapping deep brain stimulation effects to lo..:

Neudorfer, Clemens ; Butenko, Konstantin ; Oxenford, Simon...
NeuroImage. 268 (2023) - p. 119862 , 2023

Link: https://doi.org/10.1016/..

10

Towards an optimised deep brain stimulation using a large-s..:

Spiliotis, Konstantinos ; Butenko, Konstantin ; Starke, Jens..
Journal of Neural Engineering. 20 (2023) 6 - p. 066045 , 2023

Link: https://doi.org/10.1088/..

11

Increasing reliability of computer simulation for deep brai..:

Payonk, Jan Philipp ; Zimmermann, Julius ; Kober, Maria..
Brain Stimulation. 16 (2023) 1 - p. 331-332 , 2023

Link: https://doi.org/10.1016/..

12

Experimental and numerical methods to ensure comprehensible..:

Zimmermann, Julius ; Sahm, Franziska ; Arbeiter, Nils...
Bioelectrochemistry. 151 (2023) - p. 108395 , 2023

Link: https://doi.org/10.1016/..

13

Contributions of deep learning to automated numerical model..:

Che, Vien Lam ; Zimmermann, Julius ; Zhou, Yilu..
Frontiers in Bioengineering and Biotechnology. 11 (2023) - p. , 2023

Link: https://doi.org/10.3389/..

14

Effects of deep brain stimulation in the subthalamic nucleu..:

Statz, Meike ; Kober, Maria ; Schleuter, Frederike...
Brain Stimulation. 16 (2023) 1 - p. 313-314 , 2023

Link: https://doi.org/10.1016/..

15

Discrimination between the effects of pulsed electrical sti..:

Bielfeldt, Meike ; Budde-Sagert, Kai ; Weis, Nikolai...
Journal of Biological Engineering. 17 (2023) 1 - p. , 2023

Link: https://doi.org/10.1186/..