Mild Traumatic Brain Injury Outcome Prediction What: MRI Feature Extraction / Unsupervised Classification When: 17 October 2016 Where: MICCAI 2016, Athens, Greece, http://www.miccai2016.org Web: https://tbichallenge.wordpress.com/ 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)
We are very excited to be placed among five finalists for the 2016 NVIDIA Global Impact Award with our work on Deep Learning for Brain Lesion Segmentation. The credit goes to PhD student Konstantinos Kamnitsas. More details about the work can be found here.
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
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.
Ben Glocker is the guest editor together with Nikos Paragios (Ecole Centrale Paris) and Ramin Zabih (Cornell NYC Tech / Weill Cornell Radiology) of a special issue on Discrete Graphical Models in Biomedical Image Analysis, which will be published in Vol. 27 of Medical Image Analysis in January 2016. The special issue has nine excellent … Continued
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
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
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