activity
20232026
most citedControlled synthesis and characterization of porous silicon nanoparticles for dynamic nuclear polarization

4 citations · 11 across the 9 of their papers we have counts for

collaborators

10 papers

eess.IV2026

Physics-Informed Implicit Neural Representations for Improved Myocardial Perfusion MRI Quantification

Christos Tsepas, Chang Yan, Maximilian Fuetterer +2

Quantifying myocardial perfusion from cardiac magnetic resonance (CMR) can be achieved by fitting tracer-kinetic models to the dynamic contrast-enhanced MR data. However, fitting t…

eess.IV2026

Time-resolved aortic 3D shape reconstruction from a limited number of cine 2D MRI slices

Gloria Wolkerstorfer, Stefano Buoso, Rabea Schlenker +3

Background and Objective: To assess the feasibility and accuracy of reconstructing time-resolved, three-dimensional, subject-specific aortic geometries from a limited number of sta…

cs.CV2025

Localized FNO for Spatiotemporal Hemodynamic Upsampling in Aneurysm MRI

Kyriakos Flouris, Moritz Halter, Yolanne Y. R. Lee +6

Hemodynamic analysis is essential for predicting aneurysm rupture and guiding treatment. While magnetic resonance flow imaging enables time-resolved volumetric blood velocity measu…

cond-mat.mtrl-sci2024★ 2 cited

Temperature-dependent dynamic nuclear polarization of diamond

Gevin von Witte, Aaron Himmler, Konstantin Tamarov +3

Dynamic nuclear polarization (DNP) can increase nuclear magnetic resonance (NMR) signals by orders of magnitude. DNP in diamond proceeds through different DNP mechanisms with a pos…

quant-ph2024★ 3 cited

The role of nuclear spin diffusion in dynamic nuclear polarization of crystalline nanoscale silicon particles

Gevin von Witte, Konstantin Tamarov, Neva Sahin +7

Hyperpolarized nanoparticles (NPs) offer high polarization levels with room temperature relaxation times exceeding half an hour. In this work, we demonstrate that the achievable hy…

physics.med-ph2024★ 1 cited

FlowMRI-Net: A Generalizable Self-Supervised 4D Flow MRI Reconstruction network

Luuk Jacobs, Marco Piccirelli, Valery Vishnevskiy +1

Background: Image reconstruction from highly undersampled 4D flow MRI data can be very time consuming and may result in significant underestimation of velocities depending on regul…

cs.CV2024

Optimal OnTheFly Feedback Control of Event Sensors

Valery Vishnevskiy, Greg Burman, Sebastian Kozerke +1

Event-based vision sensors produce an asynchronous stream of events which are triggered when the pixel intensity variation exceeds a predefined threshold. Such sensors offer signif…

physics.chem-ph2024★ 1 cited

Two-electron two-nucleus effective Hamiltonian and the spin diffusion barrier

Gevin von Witte, Sebastian Kozerke, Matthias Ernst

Dynamic nuclear polarization (DNP) involves a polarization transfer from unpaired electrons to hyperfine coupled nuclei and can increase the sensitivity of nuclear magnetic resonan…

cond-mat.mtrl-sci2024★ 4 cited

Controlled synthesis and characterization of porous silicon nanoparticles for dynamic nuclear polarization

Gevin von Witte, Aaron Himmler, Viivi Hyppönen +9

Si nanoparticles (NPs) have been actively developed as a hyperpolarized magnetic resonance imaging (MRI) contrast agent with an imaging window close to one hour. However, the progr…

physics.chem-ph2023

Relaxation enhancement by microwave irradiation may limit dynamic nuclear polarization

Gevin von Witte, Aaron Himmler, Sebastian Kozerke +1

Dynamic nuclear polarization enables the hyperpolarization of nuclear spins beyond the thermal-equilibrium Boltzmann distribution. However, it is often unclear why the experimental…