Search Results for author:
Found 2 papers, 1 papers with code
A Deep Ensemble Learning Approach to Lung CT Segmentation for COVID-19 Severity Assessment
This is accomplished via a unique, end-to-end hierarchical network architecture and ensemble learning, which contribute to the segmentation and provide a measure for segmentation uncertainty.
Graph Neural Network for Cell Tracking in Microscopy Videos
By modeling the entire time-lapse sequence as a direct graph where cell instances are represented by its nodes and their associations by its edges, we extract the entire set of cell trajectories by looking for the maximal paths in the graph.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
