4 papers
7 Tesla Quantitative MRI and Machine Learning for Exploratory Motor Subtype Stratification and Diagnosis in Parkinson's Disease
Anne Louise Kristoffersen, Runa Geirmundsdatter Unsgård, Marc-Antoine Fortin +6
Parkinson's disease (PD) is a highly heterogeneous disease, including which motor symptoms are dominating. Imaging biomarkers that support subtype stratification could also improve…
GOUHFI 2.0: A Next-Generation Toolbox for Brain Segmentation and Cortex Parcellation at Ultra-High Field MRI
Marc-Antoine Fortin, Anne Louise Kristoffersen, Paal Erik Goa
Ultra-High Field MRI (UHF-MRI) is increasingly used in large-scale neuroimaging studies, yet automatic brain segmentation and cortical parcellation remain challenging due to signal…
GOUHFI: a novel contrast- and resolution-agnostic segmentation tool for Ultra-High Field MRI
Marc-Antoine Fortin, Anne Louise Kristoffersen, Michael Staff Larsen +3
Recently, Ultra-High Field MRI (UHF-MRI) has become more available and one of the best tools to study the brain. One common step in quantitative neuroimaging is to segment the brai…
Stability of chiral magnon condensates in collinear antiferromagnetic insulators
Therese Frostad, Anne Louise Kristoffersen, Verena Brehm +3
Quasiequilibrium magnon Bose-Einstein condensates in ferromagnetic insulators have been a field of great interest, while condensation in antiferromagnetic systems has not yet been…