CfP: MICCAI’16 TBI Challenge mTOP


Mild Traumatic Brain Injury Outcome Prediction What:  MRI Feature Extraction / Unsupervised Classification When:  17 October 2016 Where: MICCAI 2016, Athens, Greece, Web: Traumatic brain injury (TBI) is a leading cause for death and long term disability across demographics. Predicting the outcome of patients suffering from TBI could bring many benefits for clinical … Continued



This year we are co-organising three workshops at MICCAI’16 in Athens. Please consider to submit your work to BACON: Workshop on Brain Analysis using Connectivity Networks (Submission deadline: 17/06/2016) and RAMBO: Workshop on Reconstruction and Analysis of Moving Body Organs (Submission deadline: 10/06/2016) and PIPPI: Perinatal, Preterm and Paediatric Image analysis  (Submission deadline: 19/06/2016)  

Open source release of DeepMedic


DeepMedic is our software for brain lesion segmentation based on a multi-scale 3D Deep Convolutional Neural Network. It’s now released as open source!

Microsoft Research PhD Scholarship 2016


The BioMedIA Group at Imperial College London has an opening for a four-year PhD position in the area of cloud-computing for medical image analysis. The position is fully-funded through a Microsoft Research PhD Scholarship including coverage of fees, incidental costs and a stipend. The starting date is October 1st 2016. Research topic: The aim of … Continued

Call for Papers: WBIR 2016


We are co-organising the 7th International Workshop on Biomedical Image Registration (WBIR) which will take place in Las Vegas, Nevada. This year, WBIR is an official workshop of CVPR 2016. We invite researchers working on image registration or related methodology to submit their work by March 16. More details can be found on the WBIR website.

PhD Opportunities for 2016


We have a number of PhD projects on offer for 2016. Deadlines for applications are approaching soon. As part of the EPSRC Centre for Doctoral Training in Medical Imaging: Application-Driven MR Imaging using Machine Learning Label Propagation in Large-Scale Image Databases Deep learning for early detection of lung cancer in patients at risk Fetal functional … Continued

BioMedIA successful at two computational challenges at MICCAI 2015


Members of the BioMedIA group have been very successful at this year’s MICCAI computational challenges.PhD student Konstantinos Kamnitsas has won the ISLES 2015 challenge with his approach based on Multi-Scale Convolutional Neural Nets. Master student Isabel Lopez was ranked 2nd in the Automatic Intervertebral Disc Segmentation from MRI with her approach using classification forests with … Continued

9 papers accepted at MICCAI 2015


We have 9 papers accepted at MICCAI 2015, including Flexible reconstruction and correction of unpredictable motion from stacks of 2D images: B. Kainz, A. Alansary, C. Malamateniou, K. Keraudren, M. Rutherford, J. V. Hajnal, D. Rueckert Multi-Level Parcellation of the Cerebral Cortex Using Resting-State fMRI: S. Arslan and D. Rueckert Automated Localization of Fetal Organs in MRI … Continued