Philips Impact Award for NeuroNet Paper


Our NeuroNet paper received the Philips Impact Award at the 1st International Conference on Medical Imaging with Deep Learning 2018. NeuroNet: Fast and Robust Reproduction of Multiple Brain Image Segmentation Pipelines  Martin Rajchl, Nick Pawlowski, Daniel Rueckert, Paul M. Matthews, Ben Glocker Paper: Code & Models:

Long oral paper accepted at ICML 2018


PhD student Kostas Kamnitsas from the BioMedIA Group is the lead author of an ICML 2018 paper that has been accepted as a long oral presentation. Konstantinos Kamnitsas, Daniel C. Castro, Loic Le Folgoc, Ian Walker, Ryutaro Tanno, Daniel Rueckert, Ben Glocker, Antonio Criminisi, Aditya Nori Semi-Supervised Learning via Compact Latent Space Clustering

16 papers accepted at MICCAI 2018


Members of the BioMedIA Group will present some of their latest research results as peer reviewed full papers at the 21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C.H. Lee, Amir Alansary, Steven McDonagh, Jo V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz Computing … Continued

Six full papers and seven abstracts accepted at MIDL 2018


The BioMedIA Group will have a strong presence at the 1st International Conference on Medical Imaging with Deep Learning (MIDL) to be held in Amsterdam in July. BioMedIA researchers will present some of their latest works on applying artificial intelligence techniques to the analysis of medical images. The group has six full papers and seven … Continued

BioMedIA wins the 2017 BraTS Challenge


Huge success for a team of researchers from the Biomedical Image Analysis group at the Department of Computing. The team of 11 PhD students, post-docs and academics ranked top on the prestigious, international computational challenge on brain tumour segmentation (BraTS). The BraTS challenge did run for the sixth time and this year more than 50 … Continued

BioMedIA at MICCAI 2017


The BioMedIA group has strong presence at this year’s International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI) which will be held in Quebec City in September. Papers presented at the main conference include: B. Hou, A. Alansary, S. McDonagh, A. Davidson, M. Rutherford, J.V. Hajnal, D. Rueckert, B. Glocker, B. Kainz Predicting … Continued

New deep learning toolkit for medical imaging released!


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