66 citations · 260 across the 12 of their papers we have counts for
12 papers
Pre-CAT: A web-based, graphical user-interface toolbox for preclinical CEST-MRI data processing and analysis
Jonah Weigand-Whittier, Samuel Rubin, Cindy Ayala +6
Purpose: As interest in CEST-MRI grows, particularly in the preclinical setting, the necessity for standardized and easy-to-use acquisition and data analysis pipelines has become a…
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…
Quantitative multi-metabolite imaging of Parkinson's disease using AI boosted molecular MRI
Hagar Shmuely, Michal Rivlin, Or Perlman
Traditional approaches for molecular imaging of Parkinson's disease (PD) in vivo require radioactive isotopes, lengthy scan times, or deliver only low spatial resolution. Recent ad…
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…
Molecular MRI-Based Monitoring of Cancer Immunotherapy Treatment Response
Nikita Vladimirov, Or Perlman
Immunotherapy constitutes a paradigm shift in cancer treatment. Its FDA approval for several indications has yielded improved prognosis for cases where traditional therapy has show…
Dynamic and Rapid Deep Synthesis of Molecular MRI Signals
Dinor Nagar, Nikita Vladimirov, Christian T. Farrar +1
Model-driven analysis of biophysical phenomena is gaining increased attention and utility for medical imaging applications. In magnetic resonance imaging (MRI), the availability of…
Accelerated and Quantitative 3D Semisolid MT/CEST Imaging using a Generative Adversarial Network (GAN-CEST)
Jonah Weigand-Whittier, Maria Sedykh, Kai Herz +7
Purpose: To substantially shorten the acquisition time required for quantitative 3D chemical exchange saturation transfer (CEST) and semisolid magnetization transfer (MT) imaging a…
CEST MR fingerprinting (CEST-MRF) for Brain Tumor Quantification Using EPI Readout and Deep Learning Reconstruction
Ouri Cohen, Victoria Y. Yu, Kathryn R. Tringale +4
: To develop a clinical CEST MR fingerprinting (CEST-MRF) method for brain tumor quantification using EPI acquisition and deep learning reconstruction. $\textbf{M…
An End-to-End AI-Based Framework for Automated Discovery of CEST/MT MR Fingerprinting Acquisition Protocols and Quantitative Deep Reconstruction (AutoCEST)
Or Perlman, Bo Zhu, Moritz Zaiss +2
Purpose: To develop an automated machine-learning-based method for the discovery of rapid and quantitative chemical exchange saturation transfer (CEST) MR fingerprinting acquisitio…
CEST MR-Fingerprinting: practical considerations and insights for acquisition schedule design and improved reconstruction
Or Perlman, Kai Herz, Moritz Zaiss +3
Purpose: To understand the influence of various acquisition parameters on the ability of CEST MR-Fingerprinting (MRF) to discriminate different chemical exchange parameters and to…