Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data. - Veronica Corona; Martin Benning; Lynn F. Gladden; Andi Reci; Andrew J. Sederman; Carola-Bibiane Schoenlieb (CoRR, 2019)

Deep Learning as a Method for Inversion of NMR Signals. - Julian B. B. Beckmann; Mick D. Mantle; Andrew J. Sederman; Lynn F. Gladden (CoRR, 2023)

Sub-sampling of NMR Correlation and Exchange Experiments. - Julian B. B. Beckmann; Mick D. Mantle; Andrew J. Sederman; Lynn F. Gladden (CoRR, 2024)

Bayesian inverse Navier-Stokes problems: joint flow field reconstruction and parameter learning. - Alexandros Kontogiannis; Scott V. Elgersma; Andrew J. Sederman; Matthew P. Juniper (CoRR, 2024)