3 papers
stat.ML2026
Multiparameter Uncertainty Mapping in Quantitative Molecular MRI using a Physics-Structured Variational Autoencoder (PS-VAE)
Alex Finkelstein, Ron Moneta, Or Zohar +4
Quantitative imaging methods, such as magnetic resonance fingerprinting (MRF), aim to extract interpretable pathology biomarkers by estimating biophysical tissue parameters from si…
physics.med-ph2024
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…
physics.med-ph2024
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…