S. Schmitter

most citedDeepControl: 2D RF pulses facilitating

B_{1}^{+}

inhomogeneity and

B_{0}

off-resonance compensation in vivo at 7T

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2026

Segmentation of the aorta in 4D flow MRI using 4D convolutional kernels and learning from sparse annotations

Hinrich Rahlfs, Julio Garcia, Chiara Manini +13

Automated aortic segmentation in 4D flow MRI is essential for reproducible hemodynamic assessment but is limited by scarce dense annotations and high computational demands. We deve…

physics.flu-dyn2026

Uncovering Turbulent Dynamics in Stenotic Flows from 4D-flow MRI Measurements via Resolvent Analysis and Data Assimilation

Alexandre Villié, Simon Demange, Hannes Dillinger +2

This study presents a hybrid experimental and computational framework that couples in vitro 4D phase-contrast magnetic resonance imaging (4D-flow MRI) measurements with data assimi…

physics.med-ph2020★ 2 cited

DeepControl: 2D RF pulses facilitating $B_{1}^{+}$ inhomogeneity and $B_{0}$ off-resonance compensation in vivo at 7T

Mads Sloth Vinding, Christoph Stefan Aigner, Sebastian Schmitter +1

Purpose: Rapid 2D RF pulse design with subject specific $B_{1}^{+}$ inhomogeneity and $B_{0}$ off-resonance compensation at 7 T predicted from convolutional neural networks is presented.…

Segmentation of the aorta in 4D flow MRI using 4D convolutional kernels and learning from sparse annotations

Uncovering Turbulent Dynamics in Stenotic Flows from 4D-flow MRI Measurements via Resolvent Analysis and Data Assimilation

DeepControl: 2D RF pulses facilitating B1+​ inhomogeneity and B0​ off-resonance compensation in vivo at 7T

DeepControl: 2D RF pulses facilitating $B_{1}^{+}$ inhomogeneity and $B_{0}$ off-resonance compensation in vivo at 7T