1.3k citations · 1.5k across the 6 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.LG2019★ 68 cited
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation
Mathias Perslev, Erik Bjørnager Dam, Akshay Pai +1
Many recent medical segmentation systems rely on powerful deep learning models to solve highly specific tasks. To maximize performance, it is standard practice to evaluate numerous…
cs.LG2019★ 61 cited
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging
Mathias Perslev, Michael Hejselbak Jensen, Sune Darkner +2
Neural networks are becoming more and more popular for the analysis of physiological time-series. The most successful deep learning systems in this domain combine convolutional and…