Brain volume estimation from post-mortem newborn and fetal MRI - Eliza Orasanu, Andrew Melbourne, Jorge M. Cardoso, Marc Modat, Andrew M. Taylor, Sudhin Thayyil, Sebastien Ourselin - Neuroimage: Clinical (October 2014). doi:10.106/j.nicl.2014.10.007

Paper accepted in Neuroimage: Clinical. Download it here 



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).  


Measuring brain atrophy with a generalized formulation of the boundary shift integral - Ferran Prados, Manuel Jorge Cardoso, Kelvin K. Leung, David M. Cash, Marc Modat, Nick C. Fox, Claudia A.M. Wheeler-Kingshott, Sebastien Ourselin, for the Alzheimer's Disease Neuroimaging Initiative - Neurobiology of Aging 2014


New paper accepted as part of a Neurobiology of Ageing special issue. Download it here.


Global image registration using a symmetric block-matching approach - Marc Modat ; D. M. Cash ; P. Daga ; G. P. Winston ; J. S. Duncan ; S. Ourselin - J. Med. Imag. 1(2), 024003 (Sep 19, 2014). doi:10.1117/1.JMI.1.2.024003

You can access the publisher page here. The associated code can be find in the NiftyReg package.

NiftySim: A GPU-based nonlinear finite element package for simulation of soft tissue biomechanicsStian F. Johnsen, Z. A. Taylor, M. J. Clarkson, J. Hipwell, M. Modat, B. Eiben, L. Han, Y. Hu, T. Mertzanidou, D. J. Hawkes, S Ourselin - International Journal of Computer Assisted Radiology and Surgery

You can access the publisher page here and download the pdf file here. The presented package description can be find here.

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.