Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation
Layer Ensembles is a method for uncertainty estimation in deep learning using a single network and a single pass.
Hey there!
I am a Ramon y Cajal researcher at the Barcelona Artificial Intelligence in Medicine Lab at the University of Barcelona. I do research in the field of Machine Learning and Deep Learning for Medical Imaging problems – developing AI algorithms to help doctors detect diseases faster and more accurately.
Take a look at my research page for more details on what I am currently working on, or check out my blog for tutorials and findings in ML/DL applied to Medical Image Analysis.