1 citations · 1 across the 5 of their papers we have counts for
3 papers · 1 filter
Dipole-lets: a new multiscale decomposition for MR phase and quantitative susceptibility mapping
Ignacio Contreras-Zúñiga, Mathias Lambert, Benjamín Palacios +2
Nondipolar phase contributions can generate severe streaking artifacts during quantitative susceptibility mapping (QSM) inversion. We propose Dipole-lets, a dipole-adapted multisca…
Automated Labeling of Intracranial Arteries with Uncertainty Quantification Using Deep Learning
Javier Bisbal, Patrick Winter, Sebastian Jofre +10
Accurate anatomical labeling of intracranial arteries is essential for cerebrovascular diagnosis and hemodynamic analysis but remains time-consuming and subject to interoperator va…
Adaptive Plane Reformatting for 4D Flow MRI using Deep Reinforcement Learning
Javier Bisbal, Julio Sotelo, Maria I Valdés +7
Background and Objective: Plane reformatting for four-dimensional phase contrast MRI (4D flow MRI) is time-consuming and prone to inter-observer variability, which limits fast card…