Our GAN-CEST MRF paper was one of the top 10% downloaded papers at Magnetic Resonance in Medicine for 2023. Check it out (and download it)

We are very excited that Jonah Weigand-Whittier will be starting graduate school this fall in the bioengineering program at the University of California – Berkeley! We will be sorry to

Jonah Weigand-Whittier, Christian Farrar, and Or Perlman’s work on using GAN neural networks to accelerate CEST MR fingerprinting was recently published in Magnetic Resonance in

Our AutoCEST paper was highlighted in Magnetic Resonance in Medicine as one of the June 2022 “Editor’s Picks”. Congratulations Or and the entire team! Check out the

We are very excited that Or Perlman will be starting a new faculty position at Tel Aviv University this summer. Congratulations Or! It was a real pleasure having him working in the lab the

A postdoctoral fellowship is available in the Farrar lab. If you are interested in the cross-section between artificial intelligence (AI) and molecular imaging using MRI, you should apply

Our review paper of CEST and MR fingerprinting methods was recently published in NMR in Biomedicine. Check out the paper

Or Perlman, Bo Zhu, Moritz Zaiss, Matt Rosen and Chris Farrar’s work on developing an end-to-end AI based framework for automated discovery of rapid CEST/MT acquisition protocols was

Or Perlman’s paper on “Quantitative imaging of tumor apoptosis following oncolytic virotherapy by magnetic resonance fingerprinting aided by deep learning” was just published

Kai Herz’s Pulseq-CEST paper was highlighted in Magnetic Resonance in Medicine as one of the October 2021 “Editor’s