In collaboration with the Institute of Nuclear Medicine (UCLH) and the Dementia Research Centre, TIG presented 5 papers at the IEEE NSS-MIC 2014 conference in Seattle. Among them, two were short-listed to participate in the student paper competitions.
The proceedings will soon be available on the IEEE Xplore website.
The purpose of this translational project is to demonstrate the feasibility, robustness, and clinical value of automated image analysis approaches on a large database of routine clinical brain imaging. This position specifically aims at developing a fully automated anomaly detection and triage system for clinical magnetic resonance brain imaging. The successful applicant will also bridge the gap between algorithm developers and end users, enhancing the translation to clinical practice. Additional duties will involve the integration of the developed system into the in-house NifTK software platform and the deployment of a scalable image analysis platform aiming at facilitating ‘big data’ approaches to major neurological disorders.
Researchers at UCL have been awarded a grant of £1m by the Department of Health and Wellcome Trust under the Health Innovation Challenge Fund initiative to tackle an obstacle to the continued growth of brain imaging by applying computer algorithms to detect anomalies in brain scans. Dr Parashkev Nachev and his collaborators Professors Geraint Rees, Professor Sebastien Ourselin, Professor Rolf Jager and Professor Xavier Golay are seeking to close this gap by applying novel computer-assisted algorithms so as to exploit much more of the information in each brain scan than a radiologist’s verbal report.
As of 1st November 2014, Marc Modat has been appointed Lecturer in Translational Neuroimaging. Marc will lead and grow an exciting research programme within the UCL Leonard Wolfson Experimental Neurology Centre with a particular emphasis on the development of robust imaging biomarkers for different neurological conditions.
ART EXHIBITION | Monday 13th - Sunday 19th October 2014 @ The Portico, UCL Main Quad, Gower Street, WC1E 6BT
This art exhibition supports our Wellcome Trust & Department of Health funded translational research project aiming at developping a clinical system for detecting anomalies in brain scans with the aid of machine-learning (HICF-R9-501).
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.