We are pleased to announce the release of the DLTK. DLTK is a neural networks toolkit written in python, on top of Tensorflow. Its modular architecture is closely inspired by Deepmind sonnet and it was developed to enable fast prototyping and ensure reproducibility in image analysis applications, with a particular focus on medical imaging. Its … Continued
This year we are co-organising three workshops at MICCAI’17 in Quebec, Canada. Please consider to submit your work to MICCAI Workshop on Fetal and InFant Image analysis (FIFI 2017) (Submission deadline: 12/06/2016) and 2nd international workshop on Reconstruction and Analysis of Moving Body Organs (Submission deadline: 12/06/2016) and GRAIL: Workshop on GRaphs in biomedicAl Image anaLysis (Submission … Continued
The BioMedIA group has 10 papers accepted at this year’s International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI) which will be held in Athens in October. Salim Arslan, Sarah Parisot, Daniel Rueckert Boundary Mapping through Manifold Learning for Connectivity-Based Cortical Parcellation Christian Ledig, Sebastian Kaltwang, Antti Tolonen, Juha Koikkalainen, Philip Scheltens, Frederik … Continued
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.