Bootstrap Bayesian analysis with applications to gene-environment interaction. - Adina Crainiceanu; Kung-Yee Liang; Ciprian M. Crainiceanu (ISCIS, 2009)

Two-stage decompositions for the analysis of functional connectivity for fMRI with application to Alzheimer's disease risk. - Brian S. Caffo; Ciprian M. Crainiceanu; Guillermo Verduzco; Suresh Joel; Stewart H. Mostofsky; Susan Spear Bassett; James J. Pekar (NeuroImage, 2010)

Assessment of Bias for MRI Diffusion Tensor Imaging Using SIMEX. - Carolyn B. Lauzon; Andrew J. Asman; Ciprian M. Crainiceanu; Brian C. Caffo; Bennett A. Landman (MICCAI (2), 2011)

Accounting for Random Regressors: A Unified Approach to Multi-modality Imaging. - Xue Yang; Carolyn B. Lauzon; Ciprian M. Crainiceanu; Brian C. Caffo; Susan M. Resnick; Bennett A. Landman (MBIA, 2011)

Penalized functional regression analysis of white-matter tract profiles in multiple sclerosis. - Jeff Goldsmith; Ciprian M. Crainiceanu; Brian S. Caffo; Daniel S. Reich (NeuroImage, 2011)

Dynamics of large-scale cortical interactions at high gamma frequencies during word production: Event related causality (ERC) analysis of human electrocorticography (ECoG). - Anna Korzeniewska; Piotr J. Franaszczuk; Ciprian M. Crainiceanu; Rafal Kus; Nathan E. Crone (NeuroImage, 2011)

Population-wide principal component-based quantification of blood-brain-barrier dynamics in multiple sclerosis. - Russell T. Shinohara; Ciprian M. Crainiceanu; Brian S. Caffo; María Inés Gaitán; Daniel S. Reich (NeuroImage, 2011)

Functional principal component model for high-dimensional brain imaging. - Vadim Zipunnikov; Brian C. Caffo; David M. Yousem; Christos Davatzikos; Brian S. Schwartz; Ciprian M. Crainiceanu (NeuroImage, 2011)

Analysis of tiling array expression studies with flexible designs in Bioconductor (waveTiling. - Kristof De Beuf; Peter Pipelers; Megan Andriankaja; Olivier Thas; Dirk Inzé; Ciprian M. Crainiceanu; Lieven Clement (BMC Bioinform., 2012)

Biological parametric mapping accounting for random regressors with regression calibration and model II regression. - Xue Yang; Carolyn B. Lauzon; Ciprian M. Crainiceanu; Brian C. Caffo; Susan M. Resnick; Bennett A. Landman (NeuroImage, 2012)

Comment. - Ciprian M. Crainiceanu; Ana-Maria Staicu (Technometrics, 2012)

Clustering of High Dimensional Longitudinal Imaging Data. - Seonjoo Lee; Vadim Zipunnikov; Navid Shiee; Ciprian M. Crainiceanu; Brian S. Caffo; Dzung L. Pham (PRNI, 2013)

Bayesian scalar-on-image regression with application to association between intracranial DTI and cognitive outcomes. - Lei Huang; Jeff Goldsmith; Philip T. Reiss; Daniel S. Reich; Ciprian M. Crainiceanu (NeuroImage, 2013)

Ironing out the statistical wrinkles in "ten ironic rules". - Martin A. Lindquist; Brian C. Caffo; Ciprian M. Crainiceanu (NeuroImage, 2013)

Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI. - Haochang Shou; Ani Eloyan; Mary Beth Nebel; Amanda F. Mejia; James J. Pekar; Stewart H. Mostofsky; Brian S. Caffo; Martin A. Lindquist; Ciprian M. Crainiceanu (NeuroImage, 2014)

brainR: Interactive 3 and 4D Images of High Resolution Neuroimage Data. - John Muschelli; Elizabeth M. Sweeney; Ciprian M. Crainiceanu (R J., 2014)

Restricted Likelihood Ratio Tests for Functional Effects in the Functional Linear Model. - Bruce J. Swihart; Jeff Goldsmith; Ciprian M. Crainiceanu (Technometrics, 2014)

Modeling sleep fragmentation in sleep hypnograms: An instance of fast, scalable discrete-state, discrete-time analyses. - Bruce J. Swihart; Naresh M. Punjabi; Ciprian M. Crainiceanu (Comput. Stat. Data Anal., 2015)

Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators. - Amanda F. Mejia; Mary Beth Nebel; Haochang Shou; Ciprian M. Crainiceanu; James J. Pekar; Stewart H. Mostofsky; Brian Caffo; Martin A. Lindquist (NeuroImage, 2015)

Validated automatic brain extraction of head CT images. - John Muschelli; Natalie L. Ullman; W. Andrew Mould; Paul M. Vespa; Daniel F. Hanley; Ciprian M. Crainiceanu (NeuroImage, 2015)

fslr: Connecting the FSL Software with R. - John Muschelli; Elizabeth M. Sweeney; Martin A. Lindquist; Ciprian M. Crainiceanu (R J., 2015)

Removing inter-subject technical variability in magnetic resonance imaging studies. - Jean-Philippe Fortin; Elizabeth M. Sweeney; John Muschelli; Ciprian M. Crainiceanu; Russell T. Shinohara (NeuroImage, 2016)

Fast covariance estimation for high-dimensional functional data. - Luo Xiao; Vadim Zipunnikov; David Ruppert; Ciprian M. Crainiceanu (Stat. Comput., 2016)

freesurfer: Connecting the Freesurfer software with R. - John Muschelli; Elizabeth M. Sweeney; Ciprian M. Crainiceanu (F1000Research, 2018)

Fast covariance estimation for sparse functional data. - Luo Xiao; Cai Li; William Checkley; Ciprian M. Crainiceanu (Stat. Comput., 2018)

Erratum to: Fast covariance estimation for sparse functional data. - Luo Xiao; Cai Li; William Checkley; Ciprian M. Crainiceanu (Stat. Comput., 2018)

Statistical Methods for Processing Neuroimaging Data from Two Different Sites with a Down Syndrome Population Application. - Davneet S. Minhas; Zixi Yang; John Muschelli; Charles M. Laymon; Joseph M. Mettenburg; Matthew D. Zammit; Sterling C. Johnson; Chester A. Mathis; Ann D. Cohen; Benjamin L. Handen; William E. Klunk; Ciprian M. Crainiceanu; et al. (IPMU (3), 2020)

Rxnat: An Open-Source R Package for XNAT-Based Repositories. - Adrian Gherman; John Muschelli; Brian Caffo; Ciprian M. Crainiceanu (Frontiers Neuroinformatics, 2020)

Additive Functional Cox Model. - Erjia Cui; Ciprian M. Crainiceanu; Andrew Leroux (J. Comput. Graph. Stat., 2021)

A multi-scanner neuroimaging data harmonization using RAVEL and ComBat. - Mahbaneh Eshaghzadeh Torbati; Davneet S. Minhas; Ghasan Ahmad; Erin O'Connor; John Muschelli; Charles M. Laymon; Zixi Yang; Ann D. Cohen; Howard J. Aizenstein; William E. Klunk; Bradley T. Christian; Seong Jae Hwang; et al. (NeuroImage, 2021)

Quantifying the Varying Predictive Value of Physical Activity Measures Obtained from Wearable Accelerometers on All-Cause Mortality over Short to Medium Time Horizons in NHANES 2003-2006. - Lucia Tabacu; Mark Ledbetter; Andrew Leroux; Ciprian M. Crainiceanu; Ekaterina Smirnova (Sensors, 2021)

Fast Univariate Inference for Longitudinal Functional Models. - Erjia Cui; Andrew Leroux; Ekaterina Smirnova; Ciprian M. Crainiceanu (J. Comput. Graph. Stat., 2022)

Fast Multilevel Functional Principal Component Analysis. - Erjia Cui; Ruonan Li; Ciprian M. Crainiceanu; Luo Xiao (J. Comput. Graph. Stat., 2023)

MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data. - Mahbaneh Eshaghzadeh Torbati; Davneet S. Minhas; Charles M. Laymon; Pauline Maillard; James D. Wilson; Chang-Le Chen; Ciprian M. Crainiceanu; Charles DeCarli; Seong Jae Hwang; Dana L. Tudorascu (Medical Image Anal., 2023)

Dynamic Prediction Using Landmark Historical Functional Cox Regression. - Andrew Leroux; Ciprian M. Crainiceanu (J. Comput. Graph. Stat., 2025)