| Radiogenomics to characterize regional genetic heterogeneity in glioblastoma LS Hu, S Ning, JM Eschbacher, LC Baxter, N Gaw, S Ranjbar, J Plasencia, ... Neuro-oncology 19 (1), 128-137, 2017 | 214 | 2017 |
| Multi-parametric MRI and texture analysis to visualize spatial histologic heterogeneity and tumor extent in glioblastoma LS Hu, S Ning, JM Eschbacher, N Gaw, AC Dueck, KA Smith, P Nakaji, ... PloS one 10 (11), e0141506, 2015 | 131 | 2015 |
| A Bayesian approach to modeling two-phase degradation using change-point regression SJ Bae, T Yuan, S Ning, W Kuo Reliability engineering & system safety 134, 66-74, 2015 | 96 | 2015 |
| MRI-based texture analysis to differentiate sinonasal squamous cell carcinoma from inverted papilloma S Ramkumar, S Ranjbar, S Ning, D Lal, CM Zwart, CP Wood, ... American Journal of Neuroradiology 38 (5), 1019-1025, 2017 | 57 | 2017 |
| Computed tomography-based texture analysis to determine human papillomavirus status of oropharyngeal squamous cell carcinoma S Ranjbar, S Ning, CM Zwart, CP Wood, SM Weindling, T Wu, JR Mitchell, ... Journal of computer assisted tomography 42 (2), 299-305, 2018 | 35 | 2018 |
| A sparse partitioned-regression model for nonlinear system–environment interactions S Ning, E Byon, T Wu, J Li IISE Transactions 49 (8), 814-826, 2017 | 5 | 2017 |
| Bayesian degradation analysis considering competing risks and residual-life prediction for two-phase degradation S Ning Ohio University, 2012 | 5 | 2012 |
| Multiparametric magnetic resonance imaging and texture analysis to distinguish Sinonasal Inverted Papilloma from Squamous Cell Carcinoma S Ramkumar, S Ranjbar, S Ning, D Lal, CP Wood, CM Zwart, T Wu, ... Journal of Neurological Surgery Part B: Skull Base 77 (S 01), A041, 2016 | 2 | 2016 |
| Structure-Regularized Partition-Regression Models for Nonlinear System-Environment Interactions S Ning Arizona State University, 2018 | 1 | 2018 |
| A New Model for Building Energy Modeling and Management Using Predictive Analytics: Partitioned Hierarchical Multitask Regression (PHMR) S Ning, H Yoon Indoor Air 2024, 2024 | | 2024 |
