Stephanie Noble

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 15

Top Topics

Combining Multiple

Generalization Error

Machine Learning Models

Global Information

Top Venues

Medical Image Anal.

Publications

Javid Dadashkarimi, Amin Karbasi, Qinghao Liang, Matthew Rosenblatt, Stephanie Noble, Maya Foster, Raimundo X. Rodriguez, Brendan Adkinson, Jean Ye, Huili Sun, Chris Camp, Michael Farruggia, Link Tejavibulya, Wei Dai, Rongtao Jiang, Angeliki Pollatou, Dustin Scheinost
Cross Atlas Remapping via Optimal Transport (CAROT): Creating connectomes for different atlases when raw data is not available. Medical Image Anal. 88 (2023)
Matthew Rosenblatt, Raimundo X. Rodriguez, Margaret L. Westwater, Wei Dai, Corey Horien, Abigail S. Greene, R. Todd Constable, Stephanie Noble, Dustin Scheinost
Connectome-based machine learning models are vulnerable to subtle data manipulations. Patterns 4 (7) (2023)
Raimundo X. Rodriguez, Stephanie Noble, Link Tejavibulya, Dustin Scheinost
Leveraging edge-centric networks complements existing network-level inference for functional connectomes. NeuroImage 264 (2022)
Link Tejavibulya, Hannah Peterson, Abigail S. Greene, Siyuan Gao, Max Rolison, Stephanie Noble, Dustin Scheinost
Large-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity. NeuroImage 252 (2022)
Wei Dai, Stephanie Noble, Dustin Scheinost
The Semi-constrained Network-Based Statistic (scNBS): Integrating Local and Global Information for Brain Network Inference. MICCAI (1) (2022)
Eric W. Bridgeford, Shangsi Wang, Zeyi Wang, Ting Xu, R. Cameron Craddock, Jayanta Dey, Gregory Kiar, William Gray-Roncal, Carlo Colantuoni, Christopher Douville, Stephanie Noble, Carey E. Priebe, Brian Caffo, Michael Milham, Xi-Nian Zuo, Joshua T. Vogelstein
Eliminating accidental deviations to minimize generalization error and maximize replicability: Applications in connectomics and genomics. PLoS Comput. Biol. 17 (9) (2021)
Stephanie Noble, Dustin Scheinost, R. Todd Constable
Cluster failure or power failure? Evaluating sensitivity in cluster-level inference. NeuroImage 209 (2020)
Stephanie Noble, Dustin Scheinost
The Constrained Network-Based Statistic: A New Level of Inference for Neuroimaging. MICCAI (7) (2020)
Stephanie Noble, Dustin Scheinost, R. Todd Constable
A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis. NeuroImage 203 (2019)
Javid Dadashkarimi, Siyuan Gao, Erin Yeagle, Stephanie Noble, Dustin Scheinost
A Mass Multivariate Edge-wise Approach for Combining Multiple Connectomes to Improve the Detection of Group Differences. CNI@MICCAI (2019)
Dustin Scheinost, Stephanie Noble, Corey Horien, Abigail S. Greene, Evelyn M. R. Lake, Mehraveh Salehi, Siyuan Gao, Xilin Shen, David O'Connor, Daniel S. Barron, Sarah W. Yip, Monica D. Rosenberg, R. Todd Constable
Ten simple rules for predictive modeling of individual differences in neuroimaging. NeuroImage 193 (2019)
Kwangsun Yoo, Monica D. Rosenberg, Stephanie Noble, Dustin Scheinost, R. Todd Constable, Marvin M. Chun
Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors. NeuroImage 197 (2019)
Corey Horien, Stephanie Noble, Emily S. Finn, Xilin Shen, Dustin Scheinost, R. Todd Constable
Considering factors affecting the connectome-based identification process: Comment on Waller et al. NeuroImage 169 (2018)
Stephanie Noble, Dustin Scheinost, Emily S. Finn, Xilin Shen, Xenophon Papademetris, Sarah C. McEwen, Carrie E. Bearden, Jean Addington, Bradley G. Goodyear, Kristin S. Cadenhead, Heline Mirzakhanian, Barbara A. Cornblatt, Doreen M. Olvet, Daniel H. Mathalon, Thomas H. McGlashan, Diana O. Perkins, Aysenil Belger, Larry J. Seidman, Heidi W. Thermenos, Ming T. Tsuang, Theo G. M. van Erp
Multisite reliability of MR-based functional connectivity. NeuroImage 146 (2017)
Dustin Scheinost, Fuyuze Tokoglu, Xilin Shen, Emily S. Finn, Stephanie Noble, Xenophon Papademetris, R. Todd Constable
Fluctuations in Global Brain Activity Are Associated With Changes in Whole-Brain Connectivity of Functional Networks. IEEE Trans. Biomed. Eng. 63 (12) (2016)