Zeju Li wins Huawei Image Denoising Challenge
PhD student Zeju Li has won the Huawei Image Denoising Challenge 2018.
PhD student Zeju Li has won the Huawei Image Denoising Challenge 2018.
Congratulations to Qi Dou for receiving the Hong Kong Institution of Science 2018 Young Scientist Award!
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 … Continued
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 … Continued
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 … Continued
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!
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 … 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 … Continued
We have demonstrated our work on Medical Augmented Reality at the 2015 Imperial Festival. It was great fun with lots of interaction with younger and older visitors.
We have been granted an Innovative Engineering for Health Award of £10 million funded by the Wellcome Trust and the Engineering and Physical Sciences Research Council (EPSRC) to develop new … Continued