TIG is pleased to announce that our Senior Lecturer Dr. Tom Vecautern and our Lecturer Dr. Christos Bergeles will both receive the EPSRC-funded UCL Future Leaders Award.
Dr. Vercauteren will use the award to support his research on "Assessing the feasibility of 5ALA-PpIX-specific multi-spectral proe-based endomicroscopy for glioma imaging", while Dr. Bergeles will conduct research towards an "Image-guided micro-surgical robot for retinal stem cell delivery".
Dr Marco Lorenzi will be delivering a lecture as part of the International Workshop on Geometry, PDE’s and Lie Groups in Image Analysis on Friday 26th August 2016 (TU/e, Eindhoven, The Netherlands). The talk is titled "Cartan connections on Lie groups with applications to neuroimaging".
For information please visit the event website.
UCL will host a symposium at the Birkbeck Clore Management Centre which will focus on the development of analysis methods for PET/MRI. The symposium is directed especially to persons who have an interest in the development of novel methods of analysis using PET/MRI and should be of interest to scientific staff in centres establishing PET/MRI in the UK.
Our technical paper has been accepted in the CARE Workshop (MICCAI 2016). This work is part of the GIFT-Surg project.
The UCLH-NIHR Biomedical Research Centre has launched a series of groundbreaking videos of UCLH research for the public, featuring novel imaging technqiues being developed by the Translational Imaging Group.
Our technical paper was published in the journal of Physics in Medicine and Biology: "Rapid processing of PET list-mode data for efficient uncertainty estimation and data analysis." P J Markiewicz , K Thielemans , J M Schott , D Atkinson , S R Arridge , B F Hutton and S Ourselin.
Recently we have a new paper accepted by MICCAI 2016: Dynamically Balanced Online Random Forests for Interactive Segmentation. The work is part of the Gift-Surg project.
The Translational Imaging Group, in collaboration with the Queen's Square Multiple Sclerosis Centre, recently published work in NeuroImage on multiple sclerosis lesion filling.