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Using Deep Learning-based Features Extracted from CT scans to Predict Outcomes in COVID-19 Patients
For determining both the patient outcomes (ICU admission and death), a novel methodology is proposed by combining multi-modal features, extracted from Computed Tomography (CT) scans and Electronic Health Record (EHR) data.
On the Evaluation of Video Keyframe Summaries using User Ground Truth
Here we propose a discrimination capacity measure as a formal way to quantify the improvement over the uniform baseline, assuming that one or more ground truth summaries are available.
Bipartite Graph Matching for Keyframe Summary Evaluation
A keyframe summary, or "static storyboard", is a collection of frames from a video designed to summarise its semantic content.
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