Ciprian M. Crainiceanu

发表

Multilevel functional data analysis

Brian S. Caffo, Ciprian M. Crainiceanu, Jeffrey S. Morris, 2013 .

Dynamic child growth prediction: A comparative methods approach

Ciprian M. Crainiceanu, Andrada E. Ivanescu, William Checkley, 2017 .

An approach to the analysis of spatially correlated multilevel functional data

Ana-Maria Staicu, Ciprian M. Crainiceanu, Raymond J. Carroll, 2008 .

Fast covariance estimation for high-dimensional functional data

Luo Xiao, Ciprian M. Crainiceanu, David Ruppert, 2013, Stat. Comput..

Comment

Ana-Maria Staicu, Ciprian M. Crainiceanu, 2012, Technometrics.

Functional principal component model for high-dimensional brain imaging

Christos Davatzikos, Ciprian M. Crainiceanu, Brian Caffo, 2011, NeuroImage.

Two-stage decompositions for the analysis of functional connectivity for fMRI with application to Alzheimer's disease risk

Ciprian M. Crainiceanu, Brian Caffo, Susan Spear Bassett, 2010, NeuroImage.

Population-wide principal component-based quantification of blood–brain-barrier dynamics in multiple sclerosis

Russell T. Shinohara, Daniel S. Reich, Ciprian M. Crainiceanu, 2011, NeuroImage.

LONGITUDINAL PENALIZED FUNCTIONAL REGRESSION

Brian S. Caffo, Ciprian M. Crainiceanu, Jeffrey D. Goldsmith, 2010 .

The analysis of tiling array data using wavelet based functional mixed models

Rafael A. Irizarry, Ciprian M. Crainiceanu, Olivier Thas, 2009 .

Assessment of Bias for MRI Diffusion Tensor Imaging Using SIMEX

Bennett A. Landman, Ciprian M. Crainiceanu, Andrew J. Asman, 2011, MICCAI.

Statistical Methods for Processing Neuroimaging Data from Two Different Sites with a Down Syndrome Population Application

Sterling C. Johnson, Ciprian M. Crainiceanu, John Muschelli, 2020, IPMU.

Multilevel functional principal component analysis

Brian S. Caffo, Ciprian M. Crainiceanu, Chongzhi Di, 2009 .

Computational Opportunities In The Estimation Of Free-living Temporal Gait Parameters From Wearable Accelerometry Data

Ciprian M. Crainiceanu, Amy J. Bastian, Jacek Urbanek, 2020 .

Automatic car driving detection using raw accelerometry data

Ciprian M. Crainiceanu, Jaroslaw Harezlak, Jacek Urbanek, 2016, Physiological measurement.

Corrigendum to “Statistical normalization techniques for magnetic resonance imaging” [NeuroImage: Clinical 6 (2014) 9–19]

Peter A. Calabresi, Russell T. Shinohara, Daniel S. Reich, 2015, NeuroImage: Clinical.

Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI

Martin A. Lindquist, Ciprian M. Crainiceanu, Amanda F. Mejia, 2014, NeuroImage.

An Activity Index for Raw Accelerometry Data and Its Comparison with Other Activity Metrics

Luo Xiao, Ciprian M. Crainiceanu, Jiawei Bai, 2016, PloS one.

Modeling sleep fragmentation in sleep hypnograms: An instance of fast, scalable discrete-state, discrete-time analyses

Ciprian M. Crainiceanu, Naresh M. Punjabi, Bruce J. Swihart, 2015, Comput. Stat. Data Anal..

Fast covariance estimation for sparse functional data

Cai Li, Luo Xiao, Ciprian M. Crainiceanu, 2016, Statistics and Computing.

Wavelet-based functional mixed models for transcriptome analysis

Rafael A. Irizarry, Ciprian M. Crainiceanu, Olivier Thas, 2009 .

Removing inter-subject technical variability in magnetic resonance imaging studies

Russell T. Shinohara, Ciprian M. Crainiceanu, John Muschelli, 2016, NeuroImage.

Evaluating White Matter Lesion Segmentations with Refined Sørensen-Dice Analysis

Peter A. Calabresi, Snehashis Roy, Aaron Carass, 2020, Scientific Reports.

Analysis of tiling array expression studies with flexible designs in Bioconductor (waveTiling)

Dirk Inzé, Ciprian M. Crainiceanu, Olivier Thas, 2012, BMC Bioinformatics.

Validated automatic brain extraction of head CT images

Ciprian M. Crainiceanu, John Muschelli, Paul M. Vespa, 2015, NeuroImage.

Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators

Martin A. Lindquist, Ciprian M. Crainiceanu, Amanda F. Mejia, 2014, NeuroImage.

Clustering of High Dimensional Longitudinal Imaging Data

Seonjoo Lee, Ciprian M. Crainiceanu, Brian Caffo, 2013, 2013 International Workshop on Pattern Recognition in Neuroimaging.

Automatic Segmentation of Walking Strides in Wearable Accelerometry Data with Adaptive Empirical Pattern Transformation: 688 Board #6 May 29 3:15 PM - 5:15 PM

Ciprian M. Crainiceanu, Jaroslaw Harezlak, Jacek Urbanek, 2019 .

Modeling Change in the Brain

Wesley K. Thompson, Ciprian M. Crainiceanu, Philip T. Reiss, 2016 .

Erratum to: Fast covariance estimation for sparse functional data

Cai Li, Luo Xiao, Ciprian M. Crainiceanu, 2018, Stat. Comput..

Bayesian Analysis for Penalized Spline Regression Using WinBUGS

Ciprian M. Crainiceanu, Matt P. Wand, David Ruppert, 2005 .

Ironing out the statistical wrinkles in “ten ironic rules”

Martin A. Lindquist, Ciprian M. Crainiceanu, Brian Caffo, 2013, NeuroImage.

Dynamics of large-scale cortical interactions at high gamma frequencies during word production: Event related causality (ERC) analysis of human electrocorticography (ECoG)

Ciprian M. Crainiceanu, Piotr J. Franaszczuk, Nathan E. Crone, 2011, NeuroImage.

Accounting for Random Regressors: A Unified Approach to Multi-modality Imaging

Xue Yang, Susan M. Resnick, Bennett A. Landman, 2011, MBIA.

Accelerometry data in health research: challenges and opportunities

Ciprian M. Crainiceanu, Jiawei Bai, Jaroslaw Harezlak, 2018 .

Restricted Likelihood Ratio Tests for Functional Effects in the Functional Linear Model

Ciprian M. Crainiceanu, Jeff Goldsmith, Bruce J. Swihart, 2014, Technometrics.

Penalized functional regression analysis of white-matter tract profiles in multiple sclerosis

Daniel S. Reich, Ciprian M. Crainiceanu, Brian Caffo, 2011, NeuroImage.

Bootstrap Bayesian analysis with applications to gene-environment interaction

Ciprian M. Crainiceanu, Adina Crainiceanu, Kung-Yee Liang, 2009, 2009 24th International Symposium on Computer and Information Sciences.

Not Everybody, But Some People Move Like you

Ciprian M. Crainiceanu, Bing He, Luo Xiao, 2014 .

Bayesian scalar-on-image regression with application to association between intracranial DTI and cognitive outcomes

Lei Huang, Daniel S. Reich, Ciprian M. Crainiceanu, 2013, NeuroImage.

Fast Univariate Inference for Longitudinal Functional Models

Ciprian M. Crainiceanu, Ekaterina Smirnova, Andrew Leroux, 2021, J. Comput. Graph. Stat..

Spatially Adaptive Bayesian P-Splines with Heteroscedastic Errors

Ciprian M. Crainiceanu, David Ruppert, Raymond J. Carroll, 2004 .

OASIS is Automated Statistical Inference for Segmentation, with applications to multiple sclerosis lesion segmentation in MRI☆

Peter A. Calabresi, Russell T. Shinohara, Jennifer L. Cuzzocreo, 2013, NeuroImage: Clinical.

Longitudinal multiple sclerosis lesion segmentation data resource

Peter A. Calabresi, Snehashis Roy, Amod Jog, 2017, Data in brief.

Electronic devices and applications to track physical activity.

Ciprian M. Crainiceanu, Vadim Zipunnikov, Jennifer A Schrack, 2015, JAMA.

Likelihood Ratio Tests for Dependent Data with Applications to Longitudinal and Functional Data Analysis

Ana-Maria Staicu, Yingxing Li, Ciprian M. Crainiceanu, 2014 .

STRIDE VARIABILITY MEASURES DERIVED FROM WRIST AND HIP-WORN ACCELEROMETERS

Ciprian M. Crainiceanu, Jaroslaw Harezlak, Jacek Urbanek, 2017 .

A unified approach to modeling multivariate binary data using copulas over partitions

Brian S. Caffo, Ciprian M. Crainiceanu, Bruce J. Swihart, 2010 .

refund: Regression with Functional Data

Ciprian M. Crainiceanu, Philip T. Reiss, Fabian Scheipl, 2013 .

Population-Wide Model-Free Quantification of Blood-Brain-Barrier Dynamics in Multiple Sclerosis

Ciprian M. Crainiceanu, Russell T. Shinohara, C. Crainiceanu, 2011 .

Nonlinear and Nonparametric Regression and Instrumental Variables

Ciprian M. Crainiceanu, David Ruppert, Margaret R. Karagas, 2004 .

Health Effects of Lesion Localization in Multiple Sclerosis: Spatial Registration and Confounding Adjustment

Peter A. Calabresi, Martin A. Lindquist, Russell T. Shinohara, 2014, PloS one.

On statistical tests of functional connectome fingerprinting

Martin A. Lindquist, Brian S. Caffo, Susan M. Resnick, 2018, bioRxiv.

2 Bayesian Analysis for Penalized Spline Regression Using WinBUGS particular cases of Generalized Linear Mixed Models ( GLMMs

Ciprian M. Crainiceanu, David Ruppert, M. P. Wand, 2005 .

Relating multi-sequence longitudinal intensity profiles and clinical covariates in new multiple sclerosis lesions

Russell T. Shinohara, Daniel S. Reich, Ciprian M. Crainiceanu, 2015, 1509.08359.

AN ACTIVITY INDEX FOR RAW ACCELEROMETRY DATA AND ITS APPLICATION IN OLDER ADULTS

Ciprian M. Crainiceanu, Jiawei Bai, Chongzhi Di, 2017 .

Climate Variability and Flood-Risk Management

Jery R. Stedinger, Ciprian M. Crainiceanu, J. Stedinger, 2001 .

Nonparametric Regression Methods for Longitudinal Data Analysis. Mixed-effects Modeling Approaches

Ciprian M. Crainiceanu, C. Crainiceanu, 2007 .

Improving MCMC Mixing for a GLMM Describing Pathogen Concentrations in Water Supplies

Jery R. Stedinger, Ciprian M. Crainiceanu, David Ruppert, 2002 .

Modeling the U.S. national distribution of waterborne pathogen concentrations with application to Cryptosporidium parvum

Jery R. Stedinger, Ciprian M. Crainiceanu, David Ruppert, 2003 .

Likelihood Ratio Testing for Zero Variance Components in Linear Mixed Models

Ciprian M. Crainiceanu, C. Crainiceanu, 2008 .

The Impact of Utilizing Different Optical Coherence Tomography Devices for Clinical Purposes and in Multiple Sclerosis Trials

Amy Conger, Teresa C. Frohman, Laura J. Balcer, 2011, PloS one.

A BAYESIAN APPROACH TO EFFECT ESTIMATION ACCOUNTING FOR ADJUSTMENT UNCERTAINTY

Ciprian M. Crainiceanu, Giovanni Parmigiani, Francesca Dominici, 2008 .

Estimating Energy Expenditure from Heart Rate in Older Adults: A Case for Calibration

Ciprian M. Crainiceanu, Luigi Ferrucci, Karen Bandeen-Roche, 2014, PloS one.

A Comparison of Supervised Machine Learning Algorithms and Feature Vectors for MS Lesion Segmentation Using Multimodal Structural MRI

Peter A. Calabresi, Russell T. Shinohara, Jennifer L. Cuzzocreo, 2014, PloS one.

Adjustment uncertainty in effect estimation

Ciprian M. Crainiceanu, Giovanni Parmigiani, Francesca Dominici, 2008 .

Reproducibility and Bias in Healthy Brain Segmentation: Comparison of Two Popular Neuroimaging Platforms

Ciprian M. Crainiceanu, John Muschelli, Howard J. Aizenstein, 2016, Front. Neurosci..

Restricted Likelihood Ratio Tests in Nonparametric Longitudinal Models Short title: Restricted LR Tests in Longitudinal Models

Ciprian M. Crainiceanu, David Ruppert, D. Ruppert, 2004 .

PItcHPERFeCT: Primary Intracranial Hemorrhage Probability Estimation using Random Forests on CT

Ciprian M. Crainiceanu, John Muschelli, Elizabeth M. Sweeney, 2017, NeuroImage: Clinical.