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David H. Laidlaw

Researcher at Brown University

Publications -  248
Citations -  10822

David H. Laidlaw is an academic researcher from Brown University. The author has contributed to research in topics: Visualization & Diffusion MRI. The author has an hindex of 49, co-authored 246 publications receiving 9917 citations. Previous affiliations of David H. Laidlaw include California Institute of Technology & University of Miami.

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Proceedings ArticleDOI

An evaluation of three methods for visualizing uncertainty in architecture and archaeology

TL;DR: 3D models brought together information from standing architecture and excavated remains, surveyed plans, ground penetrating radar data, and a bird's eye representation of the site in an early modern painting from the Carthusian monastery of Bourgfontaine in northern France to explore the representation of uncertainty in visualizations for archaeological research.
Journal ArticleDOI

Tractography Processing with the Sparse Closest Point Transform

TL;DR: The SCPT enables the novel application of existing vector-space ML algorithms to create effective and efficient tools for tractography processing, and is explored in three typical tasks: fiber bundle clustering, simplification, and selection across a population.
Proceedings ArticleDOI

Visually representing multi-valued scientific data using concepts from painting

TL;DR: Vector-valued and tensor-valued images are rich sources of information about many physical phenomena, but they contain so many inter-related components that they must be represented simultaneously and intuitively.
Proceedings ArticleDOI

HumMod explorer: a multi-scale time-varying human modeling navigator

TL;DR: HumMod Navigator, a multiple-scale physiology data browser for exploring casual relationships of time-varying human modeling data, makes use of a circular layout and hierarchical relations to effectively visualize interactions between model parameters in an attempt to obtain both a local and comprehensive view of the physiological modeling environment.