This two-day symposium on March 9-10 2026, featuring invited internationally-leading researchers covering recent advances in AI and image reconstruction for biomedical imaging, is intended to enhance UK and international networking, research progress and education in this important area. The symposium is part of the EPSRC funded computational collaborative project in synergistic reconstruction in biomedical imaging (SyneRBI).
Submissions
This is a call for submissions of recent research work, even if already published, for presentation at the symposium. First authors of top-rated submissions which are selected for presentation at the symposium will have reasonable expenses covered for 2 nights of accommodation in London.
DEADLINE FOR SUBMISSIONS: September 30th 2025
Submissions should be one-page PDFs, with a title, abstract and a single figure, ideally including one or more links to arXiv or other open access presentations of the work.
We plan to make the abstracts available to attendees and others – authors should ensure this will not result in any copyright infringements.
NOTIFICATION OF DECISIONS: October 31st 2025
Registration is mandatory but free (spaces are limited). Funding towards travel and accommodation will be available for early-career researchers- please request this when registering via the link above.
In-person attendance is preferred and encouraged, but this will be a hybrid event to broaden access.
After the 2-day symposium there is an optional 1 or 2 day workshop for hands-on practice with AI and reconstruction techniques for biomedical imaging.
FURTHER INFORMATION:
Please check for latest information on submission and registration on our dedicated web-page at https://www.ccpsynerbi.ac.uk/airbi
Further info from tomography@stfc.ac.uk
Organising committee: A. J. Reader (King’s College London), D. Atkinson (University College London), M. Ehrhardt (University of Bath), C. Kolbitsch (Physikalisch-Technische Bundesanstalt), J. C. Matthews (University of Manchester), E. Pasca (Science & Technology Facilities Council), A. Tavares (University of Edinburg), K. Thielemans (University College London), C. Tsoumpas (University of Groningen) .