A member of TIG is co-editing a Computer Vision and Image Understanding special issue on Probabilistic Models for Biomedical Image Analysis. This special issue aims at bridging the gap between researchers in computer vision, biomedical image analysis and machine learning by providing a platform for the exploration of probabilistic modeling approaches for difficult clinical problems within a variety of biomedical imaging context. For more information click here.
We are co-organising BAMBI'14. The workshop will take place in Boston as a satelite workshop of MICCAI 2014. The goal is to highlight the potential of using Bayesian or random field graphical models for advancing scientific research in biomedical image analysis. The program will consist of three keynote talks, from prominent figures in the community, and the presentation of previously unpublished and contributive papers. See more information here.
UCL was recently awarded £10million to develop better tools and imaging techniques that will improve the success of surgery and other therapies on unborn babies in collaboration with KU Leuven, Great Ormond Street Hospital and University College London Hospital.
We are looking for several highly motivated individuals at different levels of expertise to contribute to this widely scoped endeavour. Please see our vacancies page for more details.
We currently have funding from the Leonard Wolfson Experimental Neurology Centre for a PhD student in Computational Modeling of Molecular Nexopathies. Please see below attachment for further details. The closing deadline is Thursday, July 4th, 2014.
More information here.
On the 31st May, The Guardian published an article entitled "Tiny £10m robot hand could transform spina bifida surgery in the womb" announcing our newly funded project!