Stimulus Tracking in Functional Magnetic Resonance Imaging (fMRI). - James Ford; Fillia Makedon; Charles B. Owen; Sterling C. Johnson; Andrew J. Saykin (ACM Multimedia, 1998)

Voxel-based morphometry of unilateral temporal lobe epilepsy reveals abnormalities in cerebral white matter. - Alan B. McMillan; Bruce P. Hermann; Sterling C. Johnson; Russ R. Hansen; Michael Seidenberg; Mary E. Meyerand (NeuroImage, 2004)

Metacognitive evaluation, self-relevance, and the right prefrontal cortex. - Taylor W. Schmitz; Tisha N. Kawahara-Baccus; Sterling C. Johnson (NeuroImage, 2004)

The Cerebral Response during Subjective Choice with and without Self-reference. - Sterling C. Johnson; Taylor W. Schmitz; Tisha N. Kawahara-Baccus; Howard A. Rowley; Andrew L. Alexander; Jonghoon Lee; Richard J. Davidson (J. Cogn. Neurosci., 2005)

Task-dependent posterior cingulate activation in mild cognitive impairment. - Michele L. Ries; Taylor W. Schmitz; Tisha N. Kawahara-Baccus; Britta M. Torgerson; Mehul A. Trivedi; Sterling C. Johnson (NeuroImage, 2006)

Self-appraisal decisions evoke dissociated dorsal - ventral aMPFC networks. - Taylor W. Schmitz; Sterling C. Johnson (NeuroImage, 2006)

Network analysis of single-subject fMRI during a finger opposition task. - Jason F. Smith; Kewei Chen 001; Sterling C. Johnson; Jeannine Morrone-Strupinsky; Eric M. Reiman; Ann Nelson; James R. Moeller; Gene E. Alexander (NeuroImage, 2006)

Application of Brodmann's area templates for ROI selection in white matter tractography studies. - Paul Thottakara; Mariana Lazar; Sterling C. Johnson; Andrew L. Alexander (NeuroImage, 2006)

Longitudinal changes in patients with traumatic brain injury assessed with diffusion-tensor and volumetric imaging. - Barbara B. Bendlin; Michele L. Ries; Mariana Lazar; Andrew L. Alexander; Robert J. Dempsey; Howard A. Rowley; Jack E. Sherman; Sterling C. Johnson (NeuroImage, 2008)

Label set perturbation for MRF based neuroimaging segmentation. - Dylan Hower; Vikas Singh; Sterling C. Johnson (ICCV, 2009)

MKL for Robust Multi-modality AD Classification. - Chris Hinrichs; Vikas Singh; Guofan Xu; Sterling C. Johnson (MICCAI (1), 2009)

Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset. - Chris Hinrichs; Vikas Singh; Lopamudra Mukherjee; Guofan Xu; Moo K. Chung; Sterling C. Johnson (NeuroImage, 2009)

Neurophysiology of swallowing: Effects of age and bolus type. - Ianessa A. Humbert; Michelle E. Fitzgerald; Donald G. McLaren; Sterling C. Johnson; Eva Porcaro; Kris Kosmatka; Jacqueline Hind; JoAnne Robbins (NeuroImage, 2009)

A population-average MRI-based atlas collection of the rhesus macaque. - Donald G. McLaren; Kristopher J. Kosmatka; Terrance R. Oakes; Christopher D. Kroenke; Steven G. Kohama; John A. Matochik; Don K. Ingram; Sterling C. Johnson (NeuroImage, 2009)

A within-subject comparison of 6-[18F]Fluoro-m-Tyrosine (FMT) and 6-[18F]Fluoro-l-DOPA (FDOPA) in Parkinson disease (PD). - Catherine L. Gallagher; James E. Holden; Bradley T. Christian; Sandra Harding; Robert J. Nickles; Sterling C. Johnson (NeuroImage, 2010)

Age-related changes in neural volume and microstructure associated with interleukin-6 are ameliorated by a calorie-restricted diet in old rhesus monkeys. - A. A. Willette; Barbara B. Bendlin; Donald G. McLaren; Elisa Canu; Erik K. Kastman; Kris Kosmatka; Guofan Xu; Aaron S. Field; Andrew L. Alexander; R. J. Colman; R. H. Weindruch; C. L. Coe; et al. (NeuroImage, 2010)

MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials. - Chris Hinrichs; N. Maritza Dowling; Sterling C. Johnson; Vikas Singh (MLINI, 2011)

Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population. - Chris Hinrichs; Vikas Singh; Guofan Xu; Sterling C. Johnson (NeuroImage, 2011)

Topology-Based Kernels With Application to Inference Problems in Alzheimer's Disease. - Deepti Pachauri; Chris Hinrichs; Moo K. Chung; Sterling C. Johnson; Vikas Singh (IEEE Trans. Medical Imaging, 2011)

Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging. - Chris Hinrichs; Vikas Singh; Jiming Peng; Sterling C. Johnson (NIPS, 2012)

Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination. - Won Hwa Kim; Deepti Pachauri; Charles R. Hatt; Moo K. Chung; Sterling C. Johnson; Vikas Singh (NIPS, 2012)

A generalized form of context-dependent psychophysiological interactions (gPPI): A comparison to standard approaches. - Donald G. McLaren; Michele L. Ries; Guofan Xu; Sterling C. Johnson (NeuroImage, 2012)

Speeding up Permutation Testing in Neuroimaging. - Chris Hinrichs; Vamsi K. Ithapu; Qinyuan Sun; Sterling C. Johnson; Vikas Singh (NIPS, 2013)

A Spatially Sensitive Kernel to Predict Cognitive Performance from Short-Term Changes in Neural Structure. - M. Hidayath Ansari; Michael H. Coen; Barbara B. Bendlin; Mark A. Sager; Sterling C. Johnson (AAAI, 2014)

Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images. - Hyunwoo J. Kim; Barbara B. Bendlin; Nagesh Adluru; Maxwell D. Collins; Moo K. Chung; Sterling C. Johnson; Richard J. Davidson; Vikas Singh (CVPR, 2014)

Canonical Correlation Analysis on Riemannian Manifolds and Its Applications. - Hyunwoo J. Kim; Nagesh Adluru; Barbara B. Bendlin; Sterling C. Johnson; Baba C. Vemuri; Vikas Singh (ECCV (2), 2014)

Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials. - Vamsi K. Ithapu; Vikas Singh; Ozioma C. Okonkwo; Sterling C. Johnson (MICCAI (2), 2014)

Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness. - Won Hwa Kim; Vikas Singh; Moo K. Chung; Chris Hinrichs; Deepti Pachauri; Ozioma C. Okonkwo; Sterling C. Johnson (NeuroImage, 2014)

Statistical inference models for image datasets with systematic variations. - Won Hwa Kim; Barbara B. Bendlin; Moo K. Chung; Sterling C. Johnson; Vikas Singh (CVPR, 2015)

A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer. - Seong Jae Hwang; Maxwell D. Collins; Sathya N. Ravi; Vamsi K. Ithapu; Nagesh Adluru; Sterling C. Johnson; Vikas Singh (ICCV, 2015)

On Statistical Analysis of Neuroimages with Imperfect Registration. - Won Hwa Kim; Sathya N. Ravi; Sterling C. Johnson; Ozioma C. Okonkwo; Vikas Singh (ICCV, 2015)

Multi-resolution statistical analysis on graph structured data in neuroimaging. - Won Hwa Kim; Vikas Singh; Moo K. Chung; Nagesh Adluru; Barbara B. Bendlin; Sterling C. Johnson (ISBI, 2015)

The mediational effects of FDG hypometabolism on the association between cerebrospinal fluid biomarkers and neurocognitive function. - N. Maritza Dowling; Sterling C. Johnson; Carey E. Gleason; William J. Jagust (NeuroImage, 2015)

Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease. - Won Hwa Kim; Nagesh Adluru; Moo K. Chung; Ozioma C. Okonkwo; Sterling C. Johnson; Barbara B. Bendlin; Vikas Singh (NeuroImage, 2015)

Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks. - Seong Jae Hwang; Nagesh Adluru; Maxwell D. Collins; Sathya N. Ravi; Barbara B. Bendlin; Sterling C. Johnson; Vikas Singh (CVPR, 2016)

Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging. - Won Hwa Kim; Seong Jae Hwang; Nagesh Adluru; Sterling C. Johnson; Vikas Singh (ECCV (6), 2016)

Abundant Inverse Regression Using Sufficient Reduction and Its Applications. - Hyunwoo J. Kim; Brandon M. Smith 001; Nagesh Adluru; Charles R. Dyer; Sterling C. Johnson; Vikas Singh (ECCV (3), 2016)

Experimental Design on a Budget for Sparse Linear Models and Applications. - Sathya N. Ravi; Vamsi K. Ithapu; Sterling C. Johnson; Vikas Singh (ICML, 2016)

Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease. - Hao Henry Zhou; Vamsi K. Ithapu; Sathya Narayanan Ravi; Vikas Singh; Grace Wahba; Sterling C. Johnson (NIPS, 2016)

Randomized Deep Learning Methods for Clinical Trial Enrichment and Design in Alzheimer's Disease. - Vamsi K. Ithapu; Vikas Singh; Sterling C. Johnson (Deep Learning for Medical Image Analysis, 2017)

The Incremental Multiresolution Matrix Factorization Algorithm. - Vamsi K. Ithapu; Risi Kondor; Sterling C. Johnson; Vikas Singh (CVPR, 2017)

Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging. - Hyunwoo J. Kim; Nagesh Adluru; Heemanshu Suri; Baba C. Vemuri; Sterling C. Johnson; Vikas Singh (CVPR, 2017)

Online Graph Completion: Multivariate Signal Recovery in Computer Vision. - Won Hwa Kim; Mona Jalal; Seong Jae Hwang; Sterling C. Johnson; Vikas Singh (CVPR, 2017)

When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $ ell_2$-consistency and Neuroscience Applications. - Hao Henry Zhou; Yilin Zhang; Vamsi K. Ithapu; Sterling C. Johnson; Grace Wahba; Vikas Singh (ICML, 2017)

Modeling Cognitive Trends in Preclinical Alzheimer's Disease (AD) via Distributions over Permutations. - Gregory Plumb; Lindsay Clark; Sterling C. Johnson; Vikas Singh (MICCAI (3), 2017)

Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective. - Ronak Mehta; Hyunwoo J. Kim; Shulei Wang; Sterling C. Johnson; Ming Yuan 001; Vikas Singh (CoRR, 2017)

Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM. - Felipe Gutierrez-Barragan; Vamsi K. Ithapu; Chris Hinrichs; Camille Maumet; Sterling C. Johnson; Thomas E. Nichols; Vikas Singh (NeuroImage, 2017)

DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. - Haoliang Sun; Ronak Mehta; Hao Henry Zhou; Zhichun Huang; Sterling C. Johnson; Vivek Prabhakaran; Vikas Singh (ICCV, 2019)

On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging. - Yunyang Xiong; Hyunwoo J. Kim; Bhargav Tangirala; Ronak Mehta; Sterling C. Johnson; Vikas Singh (IPMI, 2019)

Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging. - Seong Jae Hwang; Ronak Mehta; Hyunwoo J. Kim; Sterling C. Johnson; Vikas Singh (UAI, 2019)

Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease. - Seong Jae Hwang; Nagesh Adluru; Won Hwa Kim; Sterling C. Johnson; Barbara B. Bendlin; Vikas Singh (Brain Connect., 2019)

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)

Learning Amyloid Pathology Progression from Longitudinal PIB-PET Images in Preclinical Alzheimer's Disease. - Wei Hao; Nicholas M. Vogt; Zihang Meng; Seong Jae Hwang; Rebecca L. Koscik; Sterling C. Johnson; Barbara B. Bendlin; Vikas Singh (ISBI, 2020)

Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. - Vishnu M. Bashyam; Jimit Doshi; Güray Erus; Dhivya Srinivasan; Ahmed Abdulkadir; Mohamad Habes; Yong Fan 001; Colin L. Masters; Paul Maruff; Chuanjun Zhuo; Henry Völzke; Sterling C. Johnson; et al. (CoRR, 2020)

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan. - Raymond Pomponio; Güray Erus; Mohamad Habes; Jimit Doshi; Dhivya Srinivasan; Elizabeth Mamourian; Vishnu Bashyam; Ilya M. Nasrallah; Theodore D. Satterthwaite; Yong Fan 001; Lenore J. Launer; Colin L. Masters; et al. (NeuroImage, 2020)

PET measurement of longitudinal amyloid load identifies the earliest stages of amyloid-beta accumulation during Alzheimer's disease progression in Down syndrome. - Matthew D. Zammit; Dana L. Tudorascu; Charles M. Laymon; Sigan L. Hartley; Shahid H. Zaman; Beau M. Ances; Sterling C. Johnson; Charles K. Stone; Chester A. Mathis; William E. Klunk; Ann D. Cohen; Benjamin L. Handen; et al. (NeuroImage, 2021)

Motion-corrected 4D-Flow MRI for neurovascular applications. - Leonardo A. Rivera-Rivera; Steven R. Kecskemeti; Mu-Lan Jen; Zachary Miller; Sterling C. Johnson; Laura Eisenmenger; Kevin M. Johnson (NeuroImage, 2022)

Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. - Zhijian Yang; Junhao Wen 002; Ahmed Abdulkadir; Yuhan Cui; Güray Erus; Elizabeth Mamourian; Randa Melhem; Dhivya Srinivasan; Sindhuja T. Govindarajan; Jiong Chen; Mohamad Habes; Colin L. Masters; et al. (CoRR, 2023)

A remote digital memory composite to detect cognitive impairment in memory clinic samples in unsupervised settings using mobile devices. - David Berron; Wenzel Glanz; Lindsay Clark; Kristin Basche; Xenia Grande; Jeremie Güsten; Ornella Billette; Ina Hempen; Muhammad Hashim Naveed; Nadine Diersch; Michaela Butryn; Annika Spottke; et al. (npj Digit. Medicine, 2024)

Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer's disease. - Colin Birkenbihl; Madison Cuppels; Rory T. Boyle; Hannah M. Klinger; Oliver Langford; Gillian T. Coughlan; Michael J. Properzi; Jasmeer P. Chhatwal; Julie C. Price; Aaron P. Schultz; Dorene M. Rentz; Rebecca E. Amariglio; et al. (Brain Informatics, 2025)