Jan 10, 2017
Machine Learning and Perfusion in Neuroimaging
Knowing the state of the cells and amount of blood flow in brain, can reveal huge amount of information about it. Tumor cells have high consumption of blood metabolites (like glucose) than normal...
Oct 24, 2016
Brain Anatomy Segmentation
At Qure.ai, we are getting very good at automatically identifying tumours and lesions in brains from MRI scans. In fact, our team was placed third in Brain Tumour Segmentation (BRATS) challenge at ...
Sep 02, 2016
Neural Networks for Genomics
When we first set out to apply deep learning to genomics, we asked ourselves what the current state of the art is. What problems are researchers working on and what approaches are they using? Thi...
Aug 02, 2016
Using Variational AutoEncoders to Analyze Medical Images
Unsupervised learning is about inferring hidden structure from unlabelled data. There is no supervision in the form of labels, so the model has to figure out how to represent the data and find pa...