Sterling C. Johnson
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
8
Active years
2009–2020
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2020 | IPMU | 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, Bradley T. Christian, Dana L. Tudorascu |
| 2019 | ICCV | 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 |
| 2019 | UAI | 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 |
| 2017 | CVPR | The Incremental Multiresolution Matrix Factorization Algorithm. | Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh |
| 2017 | CVPR | 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 |
| 2017 | CVPR | Online Graph Completion: Multivariate Signal Recovery in Computer Vision. | Won Hwa Kim, Mona Jalal, Seong Jae Hwang, Sterling C. Johnson, Vikas Singh |
| 2017 | ICML | 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 |
| 2017 | MICCAI | Modeling Cognitive Trends in Preclinical Alzheimer's Disease (AD) via Distributions over Permutations. | Gregory Plumb, Lindsay Clark, Sterling C. Johnson, Vikas Singh |
| 2016 | CVPR | 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 |
| 2016 | ECCV | 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 |
| 2016 | ECCV | Abundant Inverse Regression Using Sufficient Reduction and Its Applications. | Hyunwoo J. Kim, Brandon M. Smith, Nagesh Adluru, Charles R. Dyer, Sterling C. Johnson, Vikas Singh |
| 2016 | ICML | Experimental Design on a Budget for Sparse Linear Models and Applications. | Sathya N. Ravi, Vamsi K. Ithapu, Sterling C. Johnson, Vikas Singh |
| 2015 | CVPR | Statistical inference models for image datasets with systematic variations. | Won Hwa Kim, Barbara B. Bendlin, Moo K. Chung, Sterling C. Johnson, Vikas Singh |
| 2015 | ICCV | 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 |
| 2015 | ICCV | On Statistical Analysis of Neuroimages with Imperfect Registration. | Won Hwa Kim, Sathya N. Ravi, Sterling C. Johnson, Ozioma C. Okonkwo, Vikas Singh |
| 2014 | AAAI | 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 |
| 2014 | CVPR | 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 |
| 2014 | ECCV | 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 |
| 2014 | MICCAI | Randomized Denoising Autoencoders for Smaller and Efficient Imaging Based AD Clinical Trials. | Vamsi K. Ithapu, Vikas Singh, Ozioma C. Okonkwo, Sterling C. Johnson |
| 2009 | ICCV | Label set perturbation for MRF based neuroimaging segmentation. | Dylan Hower, Vikas Singh, Sterling C. Johnson |
| 2009 | MICCAI | MKL for Robust Multi-modality AD Classification. | Chris Hinrichs, Vikas Singh, Guofan Xu, Sterling C. Johnson |