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ORCIDSterling C. Johnson
Person information
- affiliation: University of Wisconsin-Madison, Department of Medicine
- affiliation: Dartmouth Hitchcock Medical Center, Cognitive Imaging Laboratory
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2020 – today
- 2024
[j25]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:
A remote digital memory composite to detect cognitive impairment in memory clinic samples in unsupervised settings using mobile devices. npj Digit. Medicine 7(1) (2024)- 2023
- [i8]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:
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. CoRR abs/2301.10772 (2023) - 2022
- [j24]Leonardo A. Rivera-Rivera, Steven R. Kecskemeti, Mu-Lan Jen, Zachary Miller, Sterling C. Johnson, Laura Eisenmenger, Kevin M. Johnson:
Motion-corrected 4D-Flow MRI for neurovascular applications. NeuroImage 264: 119711 (2022) - 2021
- [j23]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:
PET measurement of longitudinal amyloid load identifies the earliest stages of amyloid-beta accumulation during Alzheimer's disease progression in Down syndrome. NeuroImage 228: 117728 (2021) - 2020
- [j22]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:
Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan. NeuroImage 208: 116450 (2020) - [c30]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 - [c29]Wei Hao, Nicholas M. Vogt, Zihang Meng, Seong Jae Hwang, Rebecca L. Koscik, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh:
Learning Amyloid Pathology Progression from Longitudinal PIB-PET Images in Preclinical Alzheimer's Disease. ISBI 2020: 572-576 - [i7]Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh:
Online Graph Completion: Multivariate Signal Recovery in Computer Vision. CoRR abs/2008.05060 (2020) - [i6]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:
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. CoRR abs/2010.05355 (2020)
2010 – 2019
- 2019
- [j21]Seong Jae Hwang, Nagesh Adluru, Won Hwa Kim, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh:
Associations Between Positron Emission Tomography Amyloid Pathology and Diffusion Tensor Imaging Brain Connectivity in Pre-Clinical Alzheimer's Disease. Brain Connect. 9(2): 162-173 (2019) - [c28]Haoliang Sun, Ronak Mehta, Hao Henry Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh:
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. ICCV 2019: 10610-10619 - [c27]Yunyang Xiong, Hyunwoo J. Kim, Bhargav Tangirala, Ronak Mehta, Sterling C. Johnson, Vikas Singh:
On Training Deep 3D CNN Models with Dependent Samples in Neuroimaging. IPMI 2019: 99-111 - [c26]Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Sterling C. Johnson, Vikas Singh:
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Applications to Normative Modeling in Neuroimaging. UAI 2019: 809-819 - [i5]Haoliang Sun, Ronak Mehta, Hao Henry Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh:
DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer. CoRR abs/1908.08074 (2019) - 2017
- [j20]Felipe Gutierrez-Barragan, Vamsi K. Ithapu, Chris Hinrichs, Camille Maumet, Sterling C. Johnson, Thomas E. Nichols, Vikas Singh:
Accelerating permutation testing in voxel-wise analysis through subspace tracking: A new plugin for SnPM. NeuroImage 159: 79-98 (2017) - [c25]Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh:
The Incremental Multiresolution Matrix Factorization Algorithm. CVPR 2017: 692-701 - [c24]Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh:
Online Graph Completion: Multivariate Signal Recovery in Computer Vision. CVPR 2017: 5019-5027 - [c23]Hyunwoo J. Kim, Nagesh Adluru, Heemanshu Suri, Baba C. Vemuri, Sterling C. Johnson, Vikas Singh:
Riemannian Nonlinear Mixed Effects Models: Analyzing Longitudinal Deformations in Neuroimaging. CVPR 2017: 5777-5786 - [c22]Hao Henry Zhou, Yilin Zhang, Vamsi K. Ithapu, Sterling C. Johnson, Grace Wahba, Vikas Singh:
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications. ICML 2017: 4170-4179 - [c21]Gregory Plumb, Lindsay Clark, Sterling C. Johnson, Vikas Singh:
Modeling Cognitive Trends in Preclinical Alzheimer's Disease (AD) via Distributions over Permutations. MICCAI (3) 2017: 683-691 - [p1]Vamsi K. Ithapu, Vikas Singh, Sterling C. Johnson:
Randomized Deep Learning Methods for Clinical Trial Enrichment and Design in Alzheimer's Disease. Deep Learning for Medical Image Analysis 2017: 341-378 - [i4]Felipe Gutierrez-Barragan, Vamsi K. Ithapu, Chris Hinrichs, Camille Maumet, Sterling C. Johnson, Thomas E. Nichols, Vikas Singh:
Accelerating Permutation Testing in Voxel-wise Analysis through Subspace Tracking: A new plugin for SnPM. CoRR abs/1703.01506 (2017) - [i3]Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh:
The Incremental Multiresolution Matrix Factorization Algorithm. CoRR abs/1705.05804 (2017) - [i2]Ronak Mehta, Hyunwoo J. Kim, Shulei Wang, Sterling C. Johnson, Ming Yuan, Vikas Singh:
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective. CoRR abs/1711.07575 (2017) - 2016
- [c20]Seong Jae Hwang, Nagesh Adluru, Maxwell D. Collins, Sathya N. Ravi, Barbara B. Bendlin, Sterling C. Johnson, Vikas Singh:
Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks. CVPR 2016: 2517-2525 - [c19]Won Hwa Kim, Seong Jae Hwang, Nagesh Adluru, Sterling C. Johnson, Vikas Singh:
Adaptive Signal Recovery on Graphs via Harmonic Analysis for Experimental Design in Neuroimaging. ECCV (6) 2016: 188-205 - [c18]Hyunwoo J. Kim, Brandon M. Smith, Nagesh Adluru, Charles R. Dyer, Sterling C. Johnson, Vikas Singh:
Abundant Inverse Regression Using Sufficient Reduction and Its Applications. ECCV (3) 2016: 570-584 - [c17]Sathya N. Ravi, Vamsi K. Ithapu, Sterling C. Johnson, Vikas Singh:
Experimental Design on a Budget for Sparse Linear Models and Applications. ICML 2016: 583-592 - [c16]Hao Henry Zhou, Vamsi K. Ithapu, Sathya Narayanan Ravi, Vikas Singh, Grace Wahba, Sterling C. Johnson:
Hypothesis Testing in Unsupervised Domain Adaptation with Applications in Alzheimer's Disease. NIPS 2016: 2496-2504 - 2015
- [j19]N. Maritza Dowling, Sterling C. Johnson, Carey E. Gleason, William J. Jagust:
The mediational effects of FDG hypometabolism on the association between cerebrospinal fluid biomarkers and neurocognitive function. NeuroImage 105: 357-368 (2015) - [j18]Won Hwa Kim, Nagesh Adluru, Moo K. Chung, Ozioma C. Okonkwo, Sterling C. Johnson, Barbara B. Bendlin, Vikas Singh:
Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease. NeuroImage 118: 103-117 (2015) - [c15]Won Hwa Kim, Barbara B. Bendlin, Moo K. Chung, Sterling C. Johnson, Vikas Singh:
Statistical inference models for image datasets with systematic variations. CVPR 2015: 4795-4803 - [c14]Won Hwa Kim, Sathya N. Ravi, Sterling C. Johnson, Ozioma C. Okonkwo, Vikas Singh:
On Statistical Analysis of Neuroimages with Imperfect Registration. ICCV 2015: 666-674 - [c13]Seong Jae Hwang, Maxwell D. Collins, Sathya N. Ravi, Vamsi K. Ithapu, Nagesh Adluru, Sterling C. Johnson, Vikas Singh:
A Projection Free Method for Generalized Eigenvalue Problem with a Nonsmooth Regularizer. ICCV 2015: 1841-1849 - [c12]Won Hwa Kim, Vikas Singh, Moo K. Chung, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson:
Multi-resolution statistical analysis on graph structured data in neuroimaging. ISBI 2015: 1548-1551 - [i1]Chris Hinrichs, Vamsi K. Ithapu, Qinyuan Sun, Sterling C. Johnson, Vikas Singh:
Speeding up Permutation Testing in Neuroimaging. CoRR abs/1502.03536 (2015) - 2014
- [j17]Won Hwa Kim, Vikas Singh, Moo K. Chung, Chris Hinrichs, Deepti Pachauri, Ozioma C. Okonkwo, Sterling C. Johnson:
Multi-resolutional shape features via non-Euclidean wavelets: Applications to statistical analysis of cortical thickness. NeuroImage 93: 107-123 (2014) - [c11]M. Hidayath Ansari, Michael H. Coen, Barbara B. Bendlin, Mark A. Sager, Sterling C. Johnson:
A Spatially Sensitive Kernel to Predict Cognitive Performance from Short-Term Changes in Neural Structure. AAAI 2014: 1157-1163 - [c10]Hyunwoo J. Kim, Barbara B. Bendlin, Nagesh Adluru, Maxwell D. Collins, Moo K. Chung, Sterling C. Johnson, Richard J. Davidson, Vikas Singh:
Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images. CVPR 2014: 2705-2712 - [c9]Hyunwoo J. Kim, Nagesh Adluru, Barbara B. Bendlin, Sterling C. Johnson, Baba C. Vemuri, Vikas Singh:
Canonical Correlation Analysis on Riemannian Manifolds and Its Applications. ECCV (2) 2014: 251-267 - [c8]Vamsi K. Ithapu, Vikas Singh, Ozioma C. Okonkwo, Sterling C. Johnson:
Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials. MICCAI (2) 2014: 470-478 - 2013
- [c7]Chris Hinrichs, Vamsi K. Ithapu, Qinyuan Sun, Sterling C. Johnson, Vikas Singh:
Speeding up Permutation Testing in Neuroimaging. NIPS 2013: 890-898 - 2012
- [j16]Donald G. McLaren, Michele L. Ries, Guofan Xu, Sterling C. Johnson:
A generalized form of context-dependent psychophysiological interactions (gPPI): A comparison to standard approaches. NeuroImage 61(4): 1277-1286 (2012) - [c6]Won Hwa Kim, Deepti Pachauri, Charles R. Hatt, Moo K. Chung, Sterling C. Johnson, Vikas Singh:
Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination. NIPS 2012: 1250-1258 - [c5]Chris Hinrichs, Vikas Singh, Jiming Peng, Sterling C. Johnson:
Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging. NIPS 2012: 1430-1438 - 2011
- [j15]Chris Hinrichs, Vikas Singh, Guofan Xu, Sterling C. Johnson:
Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population. NeuroImage 55(2): 574-589 (2011) - [j14]Deepti Pachauri, Chris Hinrichs, Moo K. Chung, Sterling C. Johnson, Vikas Singh:
Topology-Based Kernels With Application to Inference Problems in Alzheimer's Disease. IEEE Trans. Medical Imaging 30(10): 1760-1770 (2011) - [c4]Chris Hinrichs, N. Maritza Dowling, Sterling C. Johnson, Vikas Singh:
MKL-Based Sample Enrichment and Customized Outcomes Enable Smaller AD Clinical Trials. MLINI 2011: 124-131 - 2010
- [j13]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:
Age-related changes in neural volume and microstructure associated with interleukin-6 are ameliorated by a calorie-restricted diet in old rhesus monkeys. NeuroImage 51(3): 987-994 (2010) - [j12]Catherine L. Gallagher, James E. Holden, Bradley T. Christian, Sandra Harding, Robert J. Nickles, Sterling C. Johnson:
A within-subject comparison of 6-[18F]Fluoro-m-Tyrosine (FMT) and 6-[18F]Fluoro-l-DOPA (FDOPA) in Parkinson disease (PD). NeuroImage 52(Supplement-1): S75 (2010)
2000 – 2009
- 2009
- [j11]Ianessa A. Humbert, Michelle E. Fitzgerald, Donald G. McLaren, Sterling C. Johnson, Eva Porcaro, Kris Kosmatka, Jacqueline Hind, JoAnne Robbins:
Neurophysiology of swallowing: Effects of age and bolus type. NeuroImage 44(3): 982-991 (2009) - [j10]Donald G. McLaren, Kristopher J. Kosmatka, Terrance R. Oakes, Christopher D. Kroenke, Steven G. Kohama, John A. Matochik, Don K. Ingram, Sterling C. Johnson:
A population-average MRI-based atlas collection of the rhesus macaque. NeuroImage 45(1): 52-59 (2009) - [j9]Chris Hinrichs, Vikas Singh, Lopamudra Mukherjee, Guofan Xu, Moo K. Chung, Sterling C. Johnson:
Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset. NeuroImage 48(1): 138-149 (2009) - [c3]Dylan Hower, Vikas Singh, Sterling C. Johnson:
Label set perturbation for MRF based neuroimaging segmentation. ICCV 2009: 849-856 - [c2]Chris Hinrichs, Vikas Singh, Guofan Xu, Sterling C. Johnson:
MKL for Robust Multi-modality AD Classification. MICCAI (1) 2009: 786-794 - 2008
- [j8]Barbara B. Bendlin, Michele L. Ries, Mariana Lazar, Andrew L. Alexander, Robert J. Dempsey, Howard A. Rowley, Jack E. Sherman, Sterling C. Johnson:
Longitudinal changes in patients with traumatic brain injury assessed with diffusion-tensor and volumetric imaging. NeuroImage 42(2): 503-514 (2008) - 2006
- [j7]Michele L. Ries, Taylor W. Schmitz, Tisha N. Kawahara-Baccus, Britta M. Torgerson, Mehul A. Trivedi, Sterling C. Johnson:
Task-dependent posterior cingulate activation in mild cognitive impairment. NeuroImage 29(2): 485-492 (2006) - [j6]Paul Thottakara, Mariana Lazar, Sterling C. Johnson, Andrew L. Alexander:
Application of Brodmann's area templates for ROI selection in white matter tractography studies. NeuroImage 29(3): 868-878 (2006) - [j5]Taylor W. Schmitz, Sterling C. Johnson:
Self-appraisal decisions evoke dissociated dorsal - ventral aMPFC networks. NeuroImage 30(3): 1050-1058 (2006) - [j4]Jason F. Smith, Kewei Chen, Sterling C. Johnson, Jeannine Morrone-Strupinsky, Eric M. Reiman, Ann Nelson, James R. Moeller, Gene E. Alexander:
Network analysis of single-subject fMRI during a finger opposition task. NeuroImage 32(1): 325-332 (2006) - 2005
- [j3]Sterling C. Johnson, Taylor W. Schmitz, Tisha N. Kawahara-Baccus, Howard A. Rowley, Andrew L. Alexander, Jonghoon Lee, Richard J. Davidson:
The Cerebral Response during Subjective Choice with and without Self-reference. J. Cogn. Neurosci. 17(12): 1897-1906 (2005) - 2004
- [j2]Taylor W. Schmitz, Tisha N. Kawahara-Baccus, Sterling C. Johnson:
Metacognitive evaluation, self-relevance, and the right prefrontal cortex. NeuroImage 22(2): 941-947 (2004) - [j1]Alan B. McMillan, Bruce P. Hermann, Sterling C. Johnson, Russ R. Hansen, Michael Seidenberg, Mary E. Meyerand:
Voxel-based morphometry of unilateral temporal lobe epilepsy reveals abnormalities in cerebral white matter. NeuroImage 23(1): 167-174 (2004)
1990 – 1999
- 1998
- [c1]James Ford, Fillia Makedon, Charles B. Owen, Sterling C. Johnson, Andrew J. Saykin:
Stimulus Tracking in Functional Magnetic Resonance Imaging (fMRI). ACM Multimedia 1998: 445-454
Coauthor Index
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