92 citations
- University of LausanneCH9 papers
- Centre d'Imagerie BioMedicaleCH7 papers
- École Polytechnique Fédérale de LausanneCH6 papers
- Centre Hospitalier Universitaire VaudoisCH4 papers
- Athinoula A. Martinos Center for Biomedical ImagingUS2 papers
- Harvard UniversityUS2 papers
- HES-SO University of Applied Sciences and Arts Western SwitzerlandCH2 papers
- Massachusetts General HospitalUS2 papers
- Medical University of ViennaAT2 papers
- New York UniversityUS2 papers
- Technische Universität DarmstadtDE2 papers
- University Hospital of BaselCH2 papers
16 papers
A stabilized Two-Step Formulation of Maxwell's Equations in the time-domain
Leon Herles, Mario Mally, Jörg Ostrowski +2
Simulating electromagnetic fields across broad frequency ranges is challenging due to numerical instabilities at low frequencies. This work extends a stabilized two-step formulatio…
A Two-Step Formulation of Maxwell's Equations Using Generalized Tree-Cotree Gauges for Low-Frequency-Stability
Leon Herles, Mario Mally, Jörg Ostrowski +2
This paper presents a new low-frequency stabilization for a two-step formulation solving the full set of Maxwell's equations. The formulation is based on a electric scalar and magn…
Rosette spectroscopic imaging for whole-brain metabolite mapping at 7T: acceleration potential and reproducibility
Zhiwei Huang, Uzay Emir, Andre Doring +4
Whole-brain proton magnetic resonance spectroscopic imaging (1H-MRSI) is a non-invasive technique for assessing neurochemical distribution in the brain, offering valuable insights…
WALINET: A water and lipid identification convolutional Neural Network for nuisance signal removal in 1H MR Spectroscopic Imaging
Paul Weiser, Georg Langs, Stanislav Motyka +5
Purpose. Proton Magnetic Resonance Spectroscopic Imaging (1H-MRSI) provides non-invasive spectral-spatial mapping of metabolism. However, long-standing problems in whole-brain 1H-M…
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis
Nataliia Molchanova, Alessandro Cagol, Pedro M. Gordaliza +8
Uncertainty quantification (UQ) has become critical for evaluating the reliability of artificial intelligence systems, especially in medical image segmentation. This study addresse…
Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency
Nataliia Molchanova, Bénédicte Maréchal, Jean-Philippe Thiran +3
With the rise of open data, identifiability of individuals based on 3D renderings obtained from routine structural magnetic resonance imaging (MRI) scans of the head has become a g…