activity
20112022
most citedA Re-defined and Generalized Percent-Overlap-of-Activation Measure for Studies of fMRI Reproducibility and its Use in Identifying Outlier Activation Maps

63 citations · 146 across the 7 of their papers we have counts for

collaborators

16 papers

stat.AP202263 cited

A Re-defined and Generalized Percent-Overlap-of-Activation Measure for Studies of fMRI Reproducibility and its Use in Identifying Outlier Activation Maps

Ranjan Maitra

Functional Magnetic Resonance Imaging~(fMRI) is a popular non-invasive modality to investigate activation in the human brain. The end result of most fMRI experiments is an activati…

stat.AP202223 cited

Assessing Certainty of Activation or Inactivation in Test-Retest fMRI Studies

Ranjan Maitra

Functional Magnetic Resonance Imaging~(fMRI) is widely used to study activation in the human brain. In most cases, data are commonly used to construct activation maps corresponding…

stat.ME20211 cited

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…

stat.ME2021

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…

cs.CV20202 cited

CatSIM: A Categorical Image Similarity Metric

Geoffrey Z. Thompson, Ranjan Maitra

We introduce CatSIM, a new similarity metric for binary and multinary two- and three-dimensional images and volumes. CatSIM uses a structural similarity image quality paradigm and…

stat.ME2019

A Matrix--free Likelihood Method for Exploratory Factor Analysis of High-dimensional Gaussian Data

Fan Dai, Somak Dutta, Ranjan Maitra

This paper proposes a novel profile likelihood method for estimating the covariance parameters in exploratory factor analysis of high-dimensional Gaussian datasets with fewer obser…