Peter Jezzard

The paper presents an open-source framework for measuring the Gradient Impulse Response Function (GIRF) in MRI, enabling reproducible and accessible scanner-specific GIRF characterization.

This paper develops a fast few-shot transfer learning approach for reconstructing highly accelerated 4D arterial spin labeling angiography using simulated data and minimal experimental data.

This paper introduces a method to correct artefactual sidebands in non-water-suppressed MR spectroscopy using the Gradient Impulse Response Function, improving metabolite signal recovery.

This paper develops a few-shot learning method for 3D TOF-MRA reconstruction, achieving high-quality results with minimal experimental data and outperforming existing methods.

This study demonstrates that radial k-space trajectories improve vessel-selective dynamic angiography with arterial spin labeling by enhancing SNR and reducing acquisition time.