ArticleIEEE transactions on instrumentation and measurement2025
Measuring Subtle HD Data Representation and Multimodal Imaging Phenotype Embedding for Precision Medicine.
Article in IEEE transactions on instrumentation and measurement, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
High-dimensional (HD) imaging biomarkers offer enhanced imaging characterization, yet their abundance impedes system performance. The methods that embed HD onto lower dimensional (LD) space address this challenge effectively, particularly for multimodal scenarios. In this study, we proposed different embedding approaches to tackle such a problem. The shortest path algorithm for isometric mapping (Isomap) is modified by an additional constraint using the Parzen-Rosenblatt (PR) density function. This aids in maintaining the uniformity of the graphs through HD to LD projections via Isomap. Then, we proposed Gaussian and Kaniadakis entropy-driven,
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