63 citations · 351 across the 34 of their papers we have counts for
7 papers · 1 filter
Exploratory Factor Analysis of Data on a Sphere
Fan Dai, Karin S. Dorman, Somak Dutta +1
Data on high-dimensional spheres arise frequently in many disciplines either naturally or as a consequence of preliminary processing and can have intricate dependence structure tha…
Fully Three-dimensional Radial Visualization
Yifan Zhu, Fan Dai, Ranjan Maitra
We develop methodology for three-dimensional (3D) radial visualization (RadViz) of multidimensional datasets. The classical two-dimensional (2D) RadViz visualizes multivariate data…
Quantitative Matching of Forensic Evidence Fragments Utilizing 3D Microscopy Analysis of Fracture Surface Replicas
Bishoy Dawood, Carlos Llosa-Vite, Geoffrey Z. Thompson +6
Fractured surfaces carry unique details that can provide an accurate quantitative comparison to support comparative forensic analysis of those fractured surfaces. In this study, a…
Fracture Mechanics-Based Quantitative Matching of Forensic Evidence Fragments
Geoffrey Z. Thompson, Bishoy Dawood, Tianyu Yu +5
Fractured metal fragments with rough and irregular surfaces are often found at crime scenes. Current forensic practice visually inspects the complex jagged trajectory of fractured…
Fast model-based clustering of partial records
Emily M. Goren, Ranjan Maitra
Partially recorded data are frequently encountered in many applications and usually clustered by first removing incomplete cases or features with missing values, or by imputing mis…
Fast matrix-free methods for model-based personalized synthetic MR imaging
Subrata Pal, Somak Dutta, Ranjan Maitra
Synthetic Magnetic Resonance (MR) imaging predicts images at new design parameter settings from a few observed MR scans. Model-based methods, that use both the physical and statist…
A practical model-based segmentation approach for improved activation detection in single-subject functional Magnetic Resonance Imaging studies
Wei-Chen Chen, Ranjan Maitra
Functional Magnetic Resonance Imaging (fMRI) maps cerebral activation in response to stimuli but this activation is often difficult to detect, especially in low-signal contexts and…