Asymmetric similarities in brain MR images

In this post I describe my latest paper, “Asymmetric similarity-weighted ensembles for image segmentation“, which I will present at the International Symposium on Biomedical Imaging in April. We are teaching computers how to recognize things in brain MR (magnetic resonance) scans. In this paper, we want the computer to recognize different types of tissue, such … [Read more…]

Multiple instance learning data repository

In my PhD I am working on multiple instance learning (MIL). This is a weakly supervised classification problem where only groups (bags) of examples (instances) are labeled, such as the overall diagnosis for a bag of regions of interest in a patient’s CT scan, but the individual labels for the regions of interest are not … [Read more…]