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ORCIDCiprian M. Crainiceanu
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2020 – today
- 2023
[j28]Erjia Cui
, Ruonan Li, Ciprian M. Crainiceanu, Luo Xiao:
Fast Multilevel Functional Principal Component Analysis. J. Comput. Graph. Stat. 32(2): 366-377 (2023)- [j27]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:
MISPEL: A supervised deep learning harmonization method for multi-scanner neuroimaging data. Medical Image Anal. 89: 102926 (2023) - 2022
- [j26]Erjia Cui, Andrew Leroux, Ekaterina Smirnova, Ciprian M. Crainiceanu:
Fast Univariate Inference for Longitudinal Functional Models. J. Comput. Graph. Stat. 31(1): 219-230 (2022) - 2021
- [j25]Erjia Cui, Ciprian M. Crainiceanu, Andrew Leroux:
Additive Functional Cox Model. J. Comput. Graph. Stat. 30(3): 780-793 (2021) - [j24]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, Ciprian M. Crainiceanu, Dana L. Tudorascu:
A multi-scanner neuroimaging data harmonization using RAVEL and ComBat. NeuroImage 245: 118703 (2021) - [j23]Lucia Tabacu, Mark Ledbetter, Andrew Leroux, Ciprian M. Crainiceanu, Ekaterina Smirnova:
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. Sensors 21(1): 4 (2021) - 2020
- [j22]Adrian Gherman, John Muschelli, Brian Caffo, Ciprian M. Crainiceanu:
Rxnat: An Open-Source R Package for XNAT-Based Repositories. Frontiers Neuroinformatics 14: 572068 (2020) - [c5]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, Bradley T. Christian, Dana L. Tudorascu:
Statistical Methods for Processing Neuroimaging Data from Two Different Sites with a Down Syndrome Population Application. IPMU (3) 2020: 367-379
2010 – 2019
- 2018
- [j21]Luo Xiao, Cai Li, William Checkley, Ciprian M. Crainiceanu:
Fast covariance estimation for sparse functional data. Stat. Comput. 28(3): 511-522 (2018) - [j20]Luo Xiao, Cai Li, William Checkley, Ciprian M. Crainiceanu:
Erratum to: Fast covariance estimation for sparse functional data. Stat. Comput. 28(3): 523 (2018) - [i1]John Muschelli, Elizabeth M. Sweeney, Ciprian M. Crainiceanu:
freesurfer: Connecting the Freesurfer software with R. F1000Research 7: 599 (2018) - 2016
- [j19]Jean-Philippe Fortin, Elizabeth M. Sweeney, John Muschelli, Ciprian M. Crainiceanu, Russell T. Shinohara:
Removing inter-subject technical variability in magnetic resonance imaging studies. NeuroImage 132: 198-212 (2016) - [j18]Luo Xiao, Vadim Zipunnikov, David Ruppert, Ciprian M. Crainiceanu:
Fast covariance estimation for high-dimensional functional data. Stat. Comput. 26(1-2): 409-421 (2016) - 2015
- [j17]Bruce J. Swihart, Naresh M. Punjabi, Ciprian M. Crainiceanu:
Modeling sleep fragmentation in sleep hypnograms: An instance of fast, scalable discrete-state, discrete-time analyses. Comput. Stat. Data Anal. 89: 1-11 (2015) - [j16]Amanda F. Mejia, Mary Beth Nebel, Haochang Shou, Ciprian M. Crainiceanu, James J. Pekar, Stewart H. Mostofsky, Brian Caffo, Martin A. Lindquist:
Improving reliability of subject-level resting-state fMRI parcellation with shrinkage estimators. NeuroImage 112: 14-29 (2015) - [j15]John Muschelli, Natalie L. Ullman, W. Andrew Mould, Paul M. Vespa, Daniel F. Hanley, Ciprian M. Crainiceanu:
Validated automatic brain extraction of head CT images. NeuroImage 114: 379-385 (2015) - [j14]John Muschelli, Elizabeth M. Sweeney, Martin A. Lindquist, Ciprian M. Crainiceanu:
fslr: Connecting the FSL Software with R. R J. 7(1): 163 (2015) - 2014
- [j13]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:
Shrinkage prediction of seed-voxel brain connectivity using resting state fMRI. NeuroImage 102: 938-944 (2014) - [j12]John Muschelli, Elizabeth M. Sweeney, Ciprian M. Crainiceanu:
brainR: Interactive 3 and 4D Images of High Resolution Neuroimage Data. R J. 6(1): 41 (2014) - [j11]Bruce J. Swihart, Jeff Goldsmith, Ciprian M. Crainiceanu:
Restricted Likelihood Ratio Tests for Functional Effects in the Functional Linear Model. Technometrics 56(4): 483-493 (2014) - 2013
- [j10]Martin A. Lindquist, Brian C. Caffo, Ciprian M. Crainiceanu:
Ironing out the statistical wrinkles in "ten ironic rules". NeuroImage 81: 499-502 (2013) - [j9]Lei Huang, Jeff Goldsmith, Philip T. Reiss, Daniel S. Reich, Ciprian M. Crainiceanu:
Bayesian scalar-on-image regression with application to association between intracranial DTI and cognitive outcomes. NeuroImage 83: 210-223 (2013) - [c4]Seonjoo Lee, Vadim Zipunnikov, Navid Shiee, Ciprian M. Crainiceanu, Brian S. Caffo, Dzung L. Pham:
Clustering of High Dimensional Longitudinal Imaging Data. PRNI 2013: 33-36 - 2012
- [j8]Kristof De Beuf, Peter Pipelers, Megan Andriankaja, Olivier Thas, Dirk Inzé, Ciprian M. Crainiceanu, Lieven Clement:
Analysis of tiling array expression studies with flexible designs in Bioconductor (waveTiling. BMC Bioinform. 13: 234 (2012) - [j7]Xue Yang, Carolyn B. Lauzon, Ciprian M. Crainiceanu, Brian C. Caffo, Susan M. Resnick, Bennett A. Landman:
Biological parametric mapping accounting for random regressors with regression calibration and model II regression. NeuroImage 62(3): 1761-1768 (2012) - [j6]Ciprian M. Crainiceanu, Ana-Maria Staicu:
Comment. Technometrics 54(2): 120-122 (2012) - 2011
- [j5]Anna Korzeniewska, Piotr J. Franaszczuk, Ciprian M. Crainiceanu, Rafal Kus, Nathan E. Crone:
Dynamics of large-scale cortical interactions at high gamma frequencies during word production: Event related causality (ERC) analysis of human electrocorticography (ECoG). NeuroImage 56(4): 2218-2237 (2011) - [j4]Jeff Goldsmith, Ciprian M. Crainiceanu, Brian S. Caffo, Daniel S. Reich:
Penalized functional regression analysis of white-matter tract profiles in multiple sclerosis. NeuroImage 57(2): 431-439 (2011) - [j3]Russell T. Shinohara, Ciprian M. Crainiceanu, Brian S. Caffo, María Inés Gaitán, Daniel S. Reich:
Population-wide principal component-based quantification of blood-brain-barrier dynamics in multiple sclerosis. NeuroImage 57(4): 1430-1446 (2011) - [j2]Vadim Zipunnikov, Brian C. Caffo, David M. Yousem, Christos Davatzikos, Brian S. Schwartz, Ciprian M. Crainiceanu:
Functional principal component model for high-dimensional brain imaging. NeuroImage 58(3): 772-784 (2011) - [c3]Xue Yang, Carolyn B. Lauzon, Ciprian M. Crainiceanu, Brian C. Caffo, Susan M. Resnick, Bennett A. Landman:
Accounting for Random Regressors: A Unified Approach to Multi-modality Imaging. MBIA 2011: 1-9 - [c2]Carolyn B. Lauzon, Andrew J. Asman, Ciprian M. Crainiceanu, Brian C. Caffo, Bennett A. Landman:
Assessment of Bias for MRI Diffusion Tensor Imaging Using SIMEX. MICCAI (2) 2011: 107-115 - 2010
- [j1]Brian S. Caffo, Ciprian M. Crainiceanu, Guillermo Verduzco, Suresh Joel, Stewart H. Mostofsky, Susan Spear Bassett, James J. Pekar:
Two-stage decompositions for the analysis of functional connectivity for fMRI with application to Alzheimer's disease risk. NeuroImage 51(3): 1140-1149 (2010)
2000 – 2009
- 2009
- [c1]Adina Crainiceanu, Kung-Yee Liang, Ciprian M. Crainiceanu:
Bootstrap Bayesian analysis with applications to gene-environment interaction. ISCIS 2009: 651-654
Coauthor Index
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