3 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
Agentic MR sequence development: leveraging LLMs with MR skills for automatic physics-informed sequence development
Moritz Zaiss, Amr Aly, Jonathan Endres +3
Purpose: Novel MR sequence developments still today allow generation of new diagnostic tools or novel imaging biomarkers. Programming MRI pulse sequences, however, is time-consumin…
Optimization of pulsed saturation transfer MR fingerprinting (ST MRF) acquisition using the Cramér-Rao bound and sequential quadratic programming
Nikita Vladimirov, Moritz Zaiss, Or Perlman
Purpose: To develop a method for optimizing pulsed saturation transfer MR fingerprinting (ST MRF) acquisition. Methods: The Cramér-Rao bound (CRB) for variance assessment was emplo…
Multi-Parameter Molecular MRI Quantification using Physics-Informed Self-Supervised Learning
Alex Finkelstein, Nikita Vladimirov, Moritz Zaiss +1
Biophysical model fitting plays a key role in obtaining quantitative parameters from physiological signals and images. However, the model complexity for molecular magnetic resonanc…
Decoding the human brain tissue response to radiofrequency excitation using a biophysical-model-free deep MRI on a chip framework
Dinor Nagar, Moritz Zaiss, Or Perlman
Magnetic resonance imaging (MRI) relies on radiofrequency (RF) excitation of proton spin. Clinical diagnosis requires a comprehensive collation of biophysical data via multiple MRI…