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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.
Papers
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An Analytical Model of Diffusion and Exchange of Water in White Matter from Diffusion-MRI and its Application in Measuring Axon Radii
Wenjin Zhou,David H. Laidlaw +1 more
TL;DR: The solution to the diffusion problem posed above, given rotational symmetry about the direction of the field gradient, is provided in this paper, where the authors define the transport rate through interface 1 D Ma h =, M is the permeability coefficient
Proceedings ArticleDOI
Design-by-example: a schema for designing visualizations using examples from art
TL;DR: A design schema for generating data visualizations using examples from art by extracting characteristics or brushstrokes suitable for representing data variables and transfers the features from the painting using the Image Analogies, Texture-By-Numbers algorithm is presented.
Atlasbased multidirection tractography using tensor registration and orientation statistics Abstract Submission No: 2281 Authors:
TL;DR: In this paper, the authors proposed a method to solve the problem of plagiarism in the literature.Submission No. No. 7, 2017.1.0.0]
Proceedings ArticleDOI
Incorporating GOMS analysis into the design of an EEG data visual analysis tool
TL;DR: This case study presents a case study where GOMS (Goals, Operators, Methods, and Selectors) task analysis is incorporated into the design process of a visual analysis tool, which allows the user to analyze EEG data with reduced subjective cognitive load, faster speed and increased confidence in the analysis quality.