activity
20162023
most citedMRSNet: Metabolite Quantification from Edited Magnetic Resonance Spectra With Convolutional Neural Networks

11 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2023★ 8 cited

Robustness of Energy Landscape Control to Dephasing

Sean Patrick O'Neil, Frank C. Langbein, Edmond Jonckheere +1

As shown in previous work, in some cases closed quantum systems exhibit a non-conventional trade-off in performance and robustness in the sense that controllers with the highest fi…

physics.med-ph2019

Comparison of R1 Mapping Protocols: What are we measuring?

Christopher Jenkins, Ioannis Papadopoulos, S. M. Shermer

Purpose: Recent work highlights the breadth of reported spin-lattice relaxation rates () for individual tissues. One potential source of variation is the protocol used to dete…

eess.IV2019★ 11 cited

MRSNet: Metabolite Quantification from Edited Magnetic Resonance Spectra With Convolutional Neural Networks

M. Chandler, C. Jenkins, S. M. Shermer +1

Quantification of metabolites from magnetic resonance spectra (MRS) has many applications in medicine and psychology, but remains a challenging task despite considerable research e…

physics.med-ph2017

Evaluation of Diffusion Weighted Imaging in the Context of Multi-Parametric MRI of the Prostate in the assessment of suspected low volume prostatic carcinoma

Ioannis Papadopoulos, Jonathan Phillips, Rhodri Evans +2

Data from a multi-parametric MRI study of patients with possible early-stage prostate cancer was assessed with a view to creating an efficient clinical protocol. Based on a correla…

physics.med-ph2016★ 3 cited

Design and Characterisation of Tissue-Mimicking Gel Phantoms for Diffusion Kurtosis Imaging

Ziyafer Gizem Portakal, Sophie Shermer, Emiliano Spezi +3

Purpose: The aim of this work was to create tissue-mimicking gel phantoms appropriate for diffusion kurtosis imaging (DKI) for quality assurance, protocol optimization and sequence…