Month: April 2025
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Exploring synthetic datasets for computer-aideddetection: a case study using phantom scan datafor enhanced lung nodule false positive reduction
Purpose Synthetic datasets hold the potential to offer cost-effective alternatives to clinical data, ensuring privacy protections and potentially addressing biases in clinical data. We present a method leveraging such datasets...
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Training CADe algorithms with synthetic datasets: augmenting clinical data for improved lung nodule detection
Synthetic datasets hold the potential to serve as cost-effective alternatives to clinical data, potentially aiding in mitigating the biases in clinical data. This paper presents a novel method that utilizes...
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LEAP: LLM-Generation of Egocentric Action Programs
We introduce LEAP (illustrated in Figure 1), a novel method for generating video-grounded action programs through use of a Large Language Model (LLM). These action programs represent the motoric, perceptual,...
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Egocentric Object Manipulation Graphs
We introduce Egocentric Object Manipulation Graphs (Ego-OMG) – a novel repre-sentation for activity modeling and anticipation of near future actions integratingthree components: 1) semantic temporal structure of activities, 2) short-term...