1 citations · 1 across the 5 of their papers we have counts for
5 papers
Unsupervised 4D Flow MRI Velocity Enhancement and Unwrapping Using Divergence-Free Neural Networks
Javier Bisbal, Julio Sotelo, Hernán Mella +8
This work introduces an unsupervised Divergence and Aliasing-Free neural network (DAF-FlowNet) for 4D Flow Magnetic Resonance Imaging (4D Flow MRI) that jointly enhances noisy velo…
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…
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images
Pablo Messina, Pablo Pino, Denis Parra +7
Every year physicians face an increasing demand of image-based diagnosis from patients, a problem that can be addressed with recent artificial intelligence methods. In this context…