news
Submitted by wps46139 on Fri, 03/02/2023 - 10:44
Dear All,
We are delighted to announce the release of our Synergistic Image Reconstruction Framework (SIRF) and associated projects Version 3.4.0.
New features in SIRF include:
Submitted by ofn77899 on Fri, 25/11/2022 - 13:44
CCPSyneRBI gives 3 awards annually to the top 3 contributors (early career researchers) to the project, whether for contributions in software, education or administrative matters.
We are delighted to announce that Year 2022 awards go to:
Submitted by ofn77899 on Fri, 25/11/2022 - 13:08
The recordings of the Workshop on modern image reconstruction algorithms and practices for medical imaging are now available here.
Submitted by ofn77899 on Tue, 06/09/2022 - 10:38
It is a pleasure to announce the release of the SIRF 3.3.0 Virtual Machine.
Please follow the download link for download instructions.
Submitted by ofn77899 on Tue, 16/08/2022 - 11:05
The lectures recording and the PDF of the presentations are now available!
SyneRBI co-sponsors this year’s STIR user’s & developer’s meeting at the IEEE NSS-MIC in Milano, Italy. Remote attendance will be possible. For full information, see
STIR User's and Developer's Meeting 2022
Submitted by wps46139 on Mon, 25/07/2022 - 18:44
As SyneRBI co-sponsors this event, we can also refund T&S (not the registration fee unfortunately) for members of our community. If you are interested in this support, please send an email to k.thielemans@ucl.ac.uk with a motivation for why you need it and how you are related to SyneRBI, evidence of support from your supervisor or similar, and an estimate of the amount. Deadline for this is 15th of September. We will review these requests in our executive committee.
Venue:
G08 David Davis Lecture Theatre,
Roberts Building ,
Torrington Place, London, LONDON, WC1E 7JE.
Info
Monday 13:00-18:00 (registration open from 12:30)
Tuesday 10:00-16:00 (coffee from 9:30)
We are pleased to announce that CCP SyneRBI and CCPi are supporting the QUIERO Workshop on Cardiac MRF Simulation & Evaluation. The workshop will provide participants with hands-on experience on simulation of MRF data acquisition and evaluation of T1 and T2 maps in clinical practice and using advanced machine learning approaches.
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