Sterling C. Johnson

66 papers A* 14A 1Journal 34Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Evaluation of Deep Learning Algorithms to Predict Multiple Dementia-Related Neuropathologies from Brain MRI, Clinical and Genetic Data. SIPAIM Tamoghna Chattopadhyay, Rudransh Kush, Pavithra Senthilkumar, Christopher Patterson, Conor Owens-Walton, Emma J. Gleave, Sophia I. Thomopoulos, Sterling C. Johnson, Elizabeth C. Mormino, Timothy J. Hohman, Paul M. Thompson
2025	J	`jnl`	Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer's disease. Brain Informatics 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, Keith A. Johnson, Rebecca F. Gottesman, Shubhabrata Mukherjee, Paul Maruff, Yen Ying Lim, Colin L. Masters, Alexa Beiser, Susan M. Resnick, Timothy M. Hughes, Samantha Burnham, Ilke Tunali, Susan M. Landau, Ann D. Cohen, Sterling C. Johnson, Tobey J. Betthauser, Sudha Seshadri, Samuel N. Lockhart, Sid E. O'Bryant, Prashanthi Vemuri, Reisa A. Sperling, Timothy J. Hohman, Michael C. Donohue, Rachel F. Buckley
2024	J	`jnl`	A remote digital memory composite to detect cognitive impairment in memory clinic samples in unsupervised settings using mobile devices. npj Digit. Medicine 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, Katharina Buerger, Robert Perneczky, Anja Schneider, Stefan Teipel, Jens Wiltfang, Sterling C. Johnson, Michael Wagner, Frank Jessen, Emrah Düzel
2023	J	`jnl`	Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. CoRR Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, Yuhan Cui, Güray Erus, Elizabeth Mamourian, Randa Melhem, Dhivya Srinivasan, Sindhuja T. Govindarajan, Jiong Chen, Mohamad Habes, Colin L. Masters, Paul Maruff, Jurgen Fripp, Luigi Ferrucci, Marilyn S. Albert, Sterling C. Johnson, John C. Morris, Pamela LaMontagne, Daniel S. Marcus, Tammie L. S. Benzinger, David A. Wolk, Li Shen, Jingxuan Bao, Susan M. Resnick, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos
2022	J	`jnl`	Motion-corrected 4D-Flow MRI for neurovascular applications. NeuroImage Leonardo A. Rivera-Rivera, Steven R. Kecskemeti, Mu-Lan Jen, Zachary Miller, Sterling C. Johnson, Laura Eisenmenger, Kevin M. Johnson
2021	J	`jnl`	PET measurement of longitudinal amyloid load identifies the earliest stages of amyloid-beta accumulation during Alzheimer's disease progression in Down syndrome. NeuroImage 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, Bradley T. Christian
2020	J	`jnl`	Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan. NeuroImage Raymond Pomponio, Güray Erus, Mohamad Habes, Jimit Doshi, Dhivya Srinivasan, Elizabeth Mamourian, Vishnu Bashyam, Ilya M. Nasrallah, Theodore D. Satterthwaite, Yong Fan, Lenore J. Launer, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Christos Davatzikos
2020	—	`conf`	Learning Amyloid Pathology Progression from Longitudinal PIB-PET Images in Preclinical Alzheimer's Disease. ISBI Wei Hao, Nicholas M. Vogt, Zihang Meng, Seong Jae Hwang, Rebecca L. Koscik, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
2020	J	`jnl`	Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. CoRR Vishnu M. Bashyam, Jimit Doshi, Güray Erus, Dhivya Srinivasan, Ahmed Abdulkadir, Mohamad Habes, Yong Fan, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Theodore D. Satterthwaite, Daniel H. Wolf, Raquel E. Gur, Ruben C. Gur, John C. Morris, Marilyn S. Albert, Hans Jörgen Grabe, Susan M. Resnick, R. Nick Bryan, David A. Wolk, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos
2020	J	`jnl`	Online Graph Completion: Multivariate Signal Recovery in Computer Vision. CoRR Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh
2020	—	`conf`	Statistical Methods for Processing Neuroimaging Data from Two Different Sites with a Down Syndrome Population Application. IPMU (3) 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
2019	J	`jnl`	Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease. Brain Connect. Seong Jae Hwang, Nagesh Adluru, Won Hwa Kim, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
2019	A*	`conf`	DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. ICCV Haoliang Sun, Ronak Mehta, Hao Henry Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh
2019	J	`jnl`	DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. CoRR Haoliang Sun, Ronak Mehta, Hao Henry Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh
2019	—	`conf`	On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging. IPMI Yunyang Xiong, Hyunwoo J. Kim, Bhargav Tangirala, Ronak Mehta, Sterling C. Johnson, Vikas Singh
2019	A	`conf`	Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging. UAI Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh
2017	J	`jnl`	Accelerating Permutation Testing in Voxel-wise Analysis through Subspace Tracking: A new plugin for SnPM. CoRR Felipe Gutierrez-Barragan, Vamsi K. Ithapu, Chris Hinrichs, Camille Maumet, Sterling C. Johnson, Thomas E. Nichols, Vikas Singh
2017	J	`jnl`	Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM. NeuroImage Felipe Gutierrez-Barragan, Vamsi K. Ithapu, Chris Hinrichs, Camille Maumet, Sterling C. Johnson, Thomas E. Nichols, Vikas Singh
2017	J	`jnl`	Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective. CoRR Ronak Mehta, Hyunwoo J. Kim, Shulei Wang, Sterling C. Johnson, Ming Yuan, Vikas Singh
2017	—	`conf`	Modeling Cognitive Trends in Preclinical Alzheimer's Disease (AD) via Distributions over Permutations. MICCAI (3) Gregory Plumb, Lindsay Clark, Sterling C. Johnson, Vikas Singh
2017	A*	`conf`	Online Graph Completion: Multivariate Signal Recovery in Computer Vision. CVPR Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh
2017	—	`ch.`	Randomized Deep Learning Methods for Clinical Trial Enrichment and Design in Alzheimer's Disease. Deep Learning for Medical Image Analysis Vamsi K. Ithapu, Vikas Singh, Sterling C. Johnson
2017	A*	`conf`	Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging. CVPR Hyunwoo J. Kim, Nagesh Adluru, Heemanshu Suri, Baba C. Vemuri, Sterling C. Johnson, Vikas Singh
2017	A*	`conf`	The Incremental Multiresolution Matrix Factorization Algorithm. CVPR Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh
2017	J	`jnl`	The Incremental Multiresolution Matrix Factorization Algorithm. CoRR Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh
2017	A*	`conf`	When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications. ICML Hao Henry Zhou, Yilin Zhang, Vamsi K. Ithapu, Sterling C. Johnson, Grace Wahba, Vikas Singh
2016	—	`conf`	Abundant Inverse Regression Using Sufficient Reduction and Its Applications. ECCV (3) Hyunwoo J. Kim, Brandon M. Smith, Nagesh Adluru, Charles R. Dyer, Sterling C. Johnson, Vikas Singh
2016	—	`conf`	Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging. ECCV (6) Won Hwa Kim, Seong Jae Hwang, Nagesh Adluru, Sterling C. Johnson, Vikas Singh
2016	A*	`conf`	Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks. CVPR Seong Jae Hwang, Nagesh Adluru, Maxwell D. Collins, Sathya N. Ravi, Barbara B. Bendlin, Sterling C. Johnson, Vikas Singh
2016	A*	`conf`	Experimental Design on a Budget for Sparse Linear Models and Applications. ICML Sathya N. Ravi, Vamsi K. Ithapu, Sterling C. Johnson, Vikas Singh
2016	—	`conf`	Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease. NIPS Hao Henry Zhou, Vamsi K. Ithapu, Sathya Narayanan Ravi, Vikas Singh, Grace Wahba, Sterling C. Johnson
2015	A*	`conf`	A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer. ICCV Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh
2015	J	`jnl`	Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease. NeuroImage Won Hwa Kim, Nagesh Adluru, Moo K. Chung, Ozioma C. Okonkwo, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh
2015	—	`conf`	Multi-resolution statistical analysis on graph structured data in neuroimaging. ISBI Won Hwa Kim, Vikas Singh, Moo K. Chung, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson
2015	A*	`conf`	On Statistical Analysis of Neuroimages with Imperfect Registration. ICCV Won Hwa Kim, Sathya N. Ravi, Sterling C. Johnson, Ozioma C. Okonkwo, Vikas Singh
2015	J	`jnl`	Speeding up Permutation Testing in Neuroimaging. CoRR Chris Hinrichs, Vamsi K. Ithapu, Qinyuan Sun, Sterling C. Johnson, Vikas Singh
2015	A*	`conf`	Statistical inference models for image datasets with systematic variations. CVPR Won Hwa Kim, Barbara B. Bendlin, Moo K. Chung, Sterling C. Johnson, Vikas Singh
2015	J	`jnl`	The mediational effects of FDG hypometabolism on the association between cerebrospinal fluid biomarkers and neurocognitive function. NeuroImage N. Maritza Dowling, Sterling C. Johnson, Carey E. Gleason, William J. Jagust
2014	A*	`conf`	A Spatially Sensitive Kernel to Predict Cognitive Performance from Short-Term Changes in Neural Structure. AAAI M. Hidayath Ansari, Michael H. Coen, Barbara B. Bendlin, Mark A. Sager, Sterling C. Johnson
2014	—	`conf`	Canonical Correlation Analysis on Riemannian Manifolds and Its Applications. ECCV (2) Hyunwoo J. Kim, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson, Baba C. Vemuri, Vikas Singh
2014	J	`jnl`	Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness. NeuroImage Won Hwa Kim, Vikas Singh, Moo K. Chung, Chris Hinrichs, Deepti Pachauri, Ozioma C. Okonkwo, Sterling C. Johnson
2014	A*	`conf`	Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images. CVPR Hyunwoo J. Kim, Barbara B. Bendlin, Nagesh Adluru, Maxwell D. Collins, Moo K. Chung, Sterling C. Johnson, Richard J. Davidson, Vikas Singh
2014	—	`conf`	Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials. MICCAI (2) Vamsi K. Ithapu, Vikas Singh, Ozioma C. Okonkwo, Sterling C. Johnson
2013	—	`conf`	Speeding up Permutation Testing in Neuroimaging. NIPS Chris Hinrichs, Vamsi K. Ithapu, Qinyuan Sun, Sterling C. Johnson, Vikas Singh
2012	J	`jnl`	A generalized form of context-dependent psychophysiological interactions (gPPI): A comparison to standard approaches. NeuroImage Donald G. McLaren, Michele L. Ries, Guofan Xu, Sterling C. Johnson
2012	—	`conf`	Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging. NIPS Chris Hinrichs, Vikas Singh, Jiming Peng, Sterling C. Johnson
2012	—	`conf`	Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination. NIPS Won Hwa Kim, Deepti Pachauri, Charles R. Hatt, Moo K. Chung, Sterling C. Johnson, Vikas Singh
2011	—	`conf`	MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials. MLINI Chris Hinrichs, N. Maritza Dowling, Sterling C. Johnson, Vikas Singh
2011	J	`jnl`	Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population. NeuroImage Chris Hinrichs, Vikas Singh, Guofan Xu, Sterling C. Johnson
2011	J	`jnl`	Topology-Based Kernels With Application to Inference Problems in Alzheimer's Disease. IEEE Trans. Medical Imaging Deepti Pachauri, Chris Hinrichs, Moo K. Chung, Sterling C. Johnson, Vikas Singh
2010	J	`jnl`	A within-subject comparison of 6-[18F]Fluoro-m-Tyrosine (FMT) and 6-[18F]Fluoro-l-DOPA (FDOPA) in Parkinson disease (PD). NeuroImage Catherine L. Gallagher, James E. Holden, Bradley T. Christian, Sandra Harding, Robert J. Nickles, Sterling C. Johnson
2010	J	`jnl`	Age-related changes in neural volume and microstructure associated with interleukin-6 are ameliorated by a calorie-restricted diet in old rhesus monkeys. NeuroImage 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, Sterling C. Johnson
2009	J	`jnl`	A population-average MRI-based atlas collection of the rhesus macaque. NeuroImage Donald G. McLaren, Kristopher J. Kosmatka, Terrance R. Oakes, Christopher D. Kroenke, Steven G. Kohama, John A. Matochik, Don K. Ingram, Sterling C. Johnson
2009	A*	`conf`	Label set perturbation for MRF based neuroimaging segmentation. ICCV Dylan Hower, Vikas Singh, Sterling C. Johnson
2009	—	`conf`	MKL for Robust Multi-modality AD Classification. MICCAI (1) Chris Hinrichs, Vikas Singh, Guofan Xu, Sterling C. Johnson
2009	J	`jnl`	Neurophysiology of swallowing: Effects of age and bolus type. NeuroImage Ianessa A. Humbert, Michelle E. Fitzgerald, Donald G. McLaren, Sterling C. Johnson, Eva Porcaro, Kris Kosmatka, Jacqueline Hind, JoAnne Robbins
2009	J	`jnl`	Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset. NeuroImage Chris Hinrichs, Vikas Singh, Lopamudra Mukherjee, Guofan Xu, Moo K. Chung, Sterling C. Johnson
2008	J	`jnl`	Longitudinal changes in patients with traumatic brain injury assessed with diffusion-tensor and volumetric imaging. NeuroImage Barbara B. Bendlin, Michele L. Ries, Mariana Lazar, Andrew L. Alexander, Robert J. Dempsey, Howard A. Rowley, Jack E. Sherman, Sterling C. Johnson
2006	J	`jnl`	Application of Brodmann's area templates for ROI selection in white matter tractography studies. NeuroImage Paul Thottakara, Mariana Lazar, Sterling C. Johnson, Andrew L. Alexander
2006	J	`jnl`	Network analysis of single-subject fMRI during a finger opposition task. NeuroImage Jason F. Smith, Kewei Chen, Sterling C. Johnson, Jeannine Morrone-Strupinsky, Eric M. Reiman, Ann Nelson, James R. Moeller, Gene E. Alexander
2006	J	`jnl`	Self-appraisal decisions evoke dissociated dorsal - ventral aMPFC networks. NeuroImage Taylor W. Schmitz, Sterling C. Johnson
2006	J	`jnl`	Task-dependent posterior cingulate activation in mild cognitive impairment. NeuroImage Michele L. Ries, Taylor W. Schmitz, Tisha N. Kawahara-Baccus, Britta M. Torgerson, Mehul A. Trivedi, Sterling C. Johnson
2005	J	`jnl`	The Cerebral Response during Subjective Choice with and without Self-reference. J. Cogn. Neurosci. Sterling C. Johnson, Taylor W. Schmitz, Tisha N. Kawahara-Baccus, Howard A. Rowley, Andrew L. Alexander, Jonghoon Lee, Richard J. Davidson
2004	J	`jnl`	Metacognitive evaluation, self-relevance, and the right prefrontal cortex. NeuroImage Taylor W. Schmitz, Tisha N. Kawahara-Baccus, Sterling C. Johnson
2004	J	`jnl`	Voxel-based morphometry of unilateral temporal lobe epilepsy reveals abnormalities in cerebral white matter. NeuroImage Alan B. McMillan, Bruce P. Hermann, Sterling C. Johnson, Russ R. Hansen, Michael Seidenberg, Mary E. Meyerand
1998	A*	`conf`	Stimulus Tracking in Functional Magnetic Resonance Imaging (fMRI). ACM Multimedia James Ford, Fillia Makedon, Charles B. Owen, Sterling C. Johnson, Andrew J. Saykin