Field-Cycling Magnetic Resonance Imaging

Non peer reviewedPublisher PD

Techniques and Applications of Field-Cycling MRI

Non peer reviewedPublisher PD

Ultrasound-Assisted CO2 Flooding to Improve Oil Recovery

The authors would like to gratefully acknowledge and appreciate the School of Engineering, University of Aberdeen, Aberdeen, Scotland, United Kingdom, for the provision of the laboratory facilities necessary for completing this work.Peer reviewedPostprin

Correction of environmental magnetic fields for the acquisition of Nuclear magnetic relaxation dispersion profiles below Earth’s field

V.Z. acknowledges funding from EPSRC under grant number EP/J500045/1, “A UK Magnetic Resonance Basic Technology Centre for Doctoral Training”. Aspects of the work were funded by EPSRC grant EP/K020293/1, “Zero-Field MRI to Enhance Diagnosis of Neurodegeneration”. This project has also received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 668119, project “IDentIFY”. The authors are grateful to Mr. G.P. Ashcroft and Dr. W. Mathieson for providing access to the biological samples used.Peer reviewedPublisher PD

Productivity analysis for a vertically fractured well under non- Darcy flow condition

This work was supported by the National Natural Science Foundation of China No. 51204148 and the Fundamental Research Funds for the Central UniversitiesPeer reviewedPostprin

Thirty years of artificial intelligence in medicine (AIME) conferences: A review of research themes

Over the past 30 years, the international conference on Artificial Intelligence in MEdicine (AIME) has been organized at different venues across Europe every 2 years, establishing a forum for scientific exchange and creating an active research community. The Artificial Intelligence in Medicine journal has published theme issues with extended versions of selected AIME papers since 1998

Comparison of fast field-cycling magnetic resonance imaging methods and future perspectives

This article is based upon work from COST Action CA15209, supported by COST (European Cooperation in Science and Technology). M. Bödenler, C. Gösweiner and H. Scharfetter acknowledge the financial support by the European Commission in the frame of the H2020 Future and Emerging Technologies (FET-open) under grant agreement 665172, project ‘CONQUER’. L. de Rochefort acknowledges the France Life Imaging network (Grant ANR-11-INBS-0006) that partially funded the small animal FFC-MRI system. D.J. Lurie, L.M. Broche and P.J. Ross acknowledge funding from the European Union’s H2020 research and innovation programme under grant agreement No 668119, project ‘IDentIFY’.Peer reviewedPublisher PD

Low-Field NMR Relaxometry for Intraoperative Tumour Margin Assessment in Breast-conserving Surgery

Funding: This project has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement no. 668119 (project “IDentIFY”) and from AIRC under IG 2019, ID 23267 project (PI Geninatti Crich Simonetta). The authors acknowledge the Italian Ministry of Research for FOE contribution to the Euro-BioImaging MultiModal Molecular Imaging Italian Node (www.mmmi.unito.it accessed on 1 October 2020). Maria Rosaria Ruggiero was supported by a “FIRC-AIRC fellowship for Italy”. Acknowledgments: This work was performed in the frame of the COST Action CA15209 (EURELAX).Peer reviewedPublisher PD

Void growth in high strength aluminium alloy single crystals : a CPFEM based study

The author thankfully acknowledges the financial support of EPSRC funding (EP/L021714/1).Peer reviewedPostprin