Visual analysis of dimensionality reduction quality for parameterized projections
In recent years, many dimensionality reduction (DR) algorithms have been proposed for
visual analysis of multidimensional data. Given a set of n-dimensional observations, such …
visual analysis of multidimensional data. Given a set of n-dimensional observations, such …
Visual analytics for the representation, exploration, and analysis of high-dimensional, multi-faceted medical data
RG Raidou - Biomedical Visualisation: Volume 2, 2019 - Springer
Medicine is among those research fields with a significant impact on humans and their
health. Already for decades, medicine has established a tight coupling with the visualization …
health. Already for decades, medicine has established a tight coupling with the visualization …
Explaining three-dimensional dimensionality reduction plots
DB Coimbra, RM Martins, TTAT Neves… - Information …, 2016 - journals.sagepub.com
Understanding three-dimensional projections created by dimensionality reduction from high-
variate datasets is very challenging. In particular, classical three-dimensional scatterplots …
variate datasets is very challenging. In particular, classical three-dimensional scatterplots …
A survey of designs for combined 2D+ 3D visual representations
J Hong, R Hnatyshyn, EAD Santos… - … on Visualization and …, 2024 - ieeexplore.ieee.org
We examine visual representations of data that make use of combinations of both 2D and
3D data mappings. Combining 2D and 3D representations is a common technique that …
3D data mappings. Combining 2D and 3D representations is a common technique that …
Visual analytics for the exploration of tumor tissue characterization
Tumors are heterogeneous tissues consisting of multiple regions with distinct characteristics.
Characterization of these intra‐tumor regions can improve patient diagnosis and enable a …
Characterization of these intra‐tumor regions can improve patient diagnosis and enable a …
UPDis: A user-assisted projection technique for distance information
TTAT Neves, SG Fadel, GM Hilasaca… - Information …, 2018 - journals.sagepub.com
Multidimensional projection techniques have become essential analytical tools. Typically,
they map data from a high-dimensional space into a low-dimensional visual space …
they map data from a high-dimensional space into a low-dimensional visual space …
Block based texture analysis for iris classification and matching
A Ross, MS Sunder - 2010 IEEE Computer Society Conference …, 2010 - ieeexplore.ieee.org
The goal of this paper is to analyze the texture of irides and determine if they can be
quantitatively measured and assigned into multiple categories. Such an exercise would …
quantitatively measured and assigned into multiple categories. Such an exercise would …
FiberStars: visual comparison of diffusion tractography data between multiple subjects
Tractography from high-dimensional diffusion magnetic resonance imaging (dMRI) data
allows brain's structural connectivity analysis. Recent dMRI studies aim to compare …
allows brain's structural connectivity analysis. Recent dMRI studies aim to compare …
Visual interactive exploration and clustering of brain fiber tracts
C Xu, YP Liu, Z Jiang, G Sun, L Jiang, R Liang - Journal of Visualization, 2020 - Springer
Nuclear magnetic resonance images have been used for detecting the movement of water
molecules in living organisms and moreover exploiting the neural fibers distribution, which is …
molecules in living organisms and moreover exploiting the neural fibers distribution, which is …