Synthetic Resampling Methods for Variance Estimation in Parametric Images. - Ranjan Maitra (IPMI, 1997)

An approximate bootstrap technique for variance estimation in parametric images. - Ranjan Maitra (Medical Image Anal., 1998)

Analysis of Variance in Statistical Image Processing. - Ranjan Maitra; Thomas Mathew (Technometrics, 2000)

Clustering Massive Datasets With Application in Software Metrics and Tomography. - Ranjan Maitra (Technometrics, 2001)

Numerical Issues in Statistical Computing for the Social Scientist. - Ranjan Maitra (Technometrics, 2005)

Assessing certainty of activation or inactivation in test-retest fMRI studies. - Ranjan Maitra (NeuroImage, 2009)

Initializing Partition-Optimization Algorithms. - Ranjan Maitra (IEEE ACM Trans. Comput. Biol. Bioinform., 2009)

Noise Estimation in Magnitude MR Datasets. - Ranjan Maitra; David Faden (IEEE Trans. Medical Imaging, 2009)

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 (NeuroImage, 2010)

Synthetic Magnetic Resonance Imaging Revisited. - Ranjan Maitra; John J. Riddles (IEEE Trans. Medical Imaging, 2010)

CARP: Software for Fishing Out Good Clustering Algorithms. - Volodymyr Melnykov; Ranjan Maitra (J. Mach. Learn. Res., 2011)

Model-based clustering of regression time series data via APECM - an AECM algorithm sung to an even faster beat. - Wei-Chen Chen; Ranjan Maitra (Stat. Anal. Data Min., 2011)

A Statistical Framework for Improved Automatic Flaw Detection in Nondestructive Evaluation Images. - Ye Tian; Ranjan Maitra; William Q. Meeker; Stephen D. Holland (Technometrics, 2017)

An efficient k-means-type algorithm for clustering datasets with incomplete records. - Andrew Lithio; Ranjan Maitra (Stat. Anal. Data Min., 2018)

Three-dimensional Radial Visualization of High-dimensional Continuous or Discrete Data. - Fan Dai; Yifan Zhu; Ranjan Maitra (CoRR, 2019)

TiK-means: K-means clustering for skewed groups. - Nicholas S. Berry; Ranjan Maitra (CoRR, 2019)

TiK-means: Transformation-infused K-means clustering for skewed groups. - Nicholas S. Berry; Ranjan Maitra (Stat. Anal. Data Min., 2019)

Efficient Bandwidth Estimation in 2D Filtered Backprojection Reconstruction. - Ranjan Maitra (IEEE Trans. Image Process., 2019)

Fast Adaptive Smoothing and Thresholding for Improved Activation Detection in Low-Signal fMRI. - Israel Almodóvar-Rivera; Ranjan Maitra (IEEE Trans. Medical Imaging, 2019)

CatSIM: A Categorical Image Similarity Metric. - Geoffrey Z. Thompson; Ranjan Maitra (CoRR, 2020)

Kernel-estimated Nonparametric Overlap-Based Syncytial Clustering. - Israel Almodóvar-Rivera; Ranjan Maitra (J. Mach. Learn. Res., 2020)

Practical Text Analytics: Maximizing the Value of Text Data. - Fan Dai; Ranjan Maitra (Technometrics, 2020)

Model-based clustering of partial records. - Emily M. Goren; Ranjan Maitra (CoRR, 2021)

Quantitative Matching of Forensic Evidence Fragments Utilizing 3D Microscopy Analysis of Fracture Surface Replicas. - Bishoy Dawood; Carlos Llosa-Vite; Geoffrey Z. Thompson; Barbara K. Lograsso; Lauren K. Claytor; John Vanderkolk; William Q. Meeker; Ranjan Maitra; Ashraf Bastawros (CoRR, 2021)

Estimating basis functions in massive fields under the spatial mixed effects model. - Karl Pazdernik; Ranjan Maitra (Stat. Anal. Data Min., 2021)

Elliptically-Contoured Tensor-variate Distributions with Application to Improved Image Learning. - Carlos Llosa-Vite; Ranjan Maitra (CoRR, 2022)

An efficient k-modes algorithm for clustering categorical datasets. - Karin S. Dorman; Ranjan Maitra (Stat. Anal. Data Min., 2022)

Fully Three-Dimensional Radial Visualization. - Yifan Zhu; Fan Dai; Ranjan Maitra (J. Comput. Graph. Stat., 2022)

Reduced-Rank Tensor-on-Tensor Regression and Tensor-Variate Analysis of Variance. - Carlos Llosa-Vite; Ranjan Maitra (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Fast Matrix-Free Methods for Model-Based Personalized Synthetic MR Imaging. - Subrata Pal; Somak Dutta; Ranjan Maitra (J. Comput. Graph. Stat., 2024)

Computational Improvements to the Kernel k$$ k $$-Means Clustering Algorithm. - Joshua D. Berlinski; Ranjan Maitra (Stat. Anal. Data Min., 2025)