| Predictive modeling of treatment resistant depression using data from STAR* D and an independent clinical study Z Nie, S Vairavan, VA Narayan, J Ye, QS Li PloS one 13 (6), e0197268, 2018 | 56 | 2018 |
| Device for determining disappearing direction and method thereof, apparatus for video camera calibration and method thereof Y Liu, Z NIE, S Corporation US Patent 9,202,277, 2015 | 29 | 2015 |
| A community challenge for inferring genetic predictors of gene essentialities through analysis of a functional screen of cancer cell lines M Gönen, BA Weir, GS Cowley, F Vazquez, Y Guan, A Jaiswal, ... Cell systems 5 (5), 485-497. e3, 2017 | 24 | 2017 |
| Multiple stages classification of Alzheimer’s disease based on structural brain networks using generalized low rank approximations (GLRAM) L Zhan, Z Nie, J Ye, Y Wang, Y Jin, N Jahanshad, G Prasad, ... Computational Diffusion MRI: MICCAI Workshop, Boston, MA, USA, September …, 2014 | 11 | 2014 |
| Sparse generalized functional liner model for predicting remission status of depression patients Y Liu, Z Nie, J Zhou, M Farnum, VA Narayan, G Wittenberg, J Ye Biocomputing 2014, 364-375, 2014 | 10 | 2014 |
| Predict risk of relapse for patients with multiple stages of treatment of depression Z Nie, P Gong, J Ye Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 9 | 2016 |
| 3D vs. 2D surface shape analysis of the corpus callosum in premature neonates Y Wang, A Panigrahy, J Shi, R Ceschin, Z Nie, MD Nelson, N Leporé MICCAI workshop on Paediatric and Perinatal Imaging, Nice, France, 2012 | 7 | 2012 |
| 3D vs. 2D surface shape analysis of the corpus callosum in premature neonates Y Wang, A Panigrahy, J Shi, R Ceschin, Z Nie, MD Nelson, N Leporé MICCAI workshop on Paediatric and Perinatal Imaging, Nice, France, 2012 | 7 | 2012 |
| Pruning Decision Trees via Max-Heap Projection Z Nie, B Lin, S Huang, N Ramakrishnan, W Fan, J Ye SIAM International Conference on Data Mining (SDM'17), 2017 | 3 | 2017 |
| Melancholic depression prediction by identifying representative features in metabolic and microarray profiles with missing values Z Nie, T Yang, Y Liu, Q Li, VA Narayan, G Wittenberg, J Ye Pacific Symposium on Biocomputing Co-Chairs, 455-466, 2014 | 3 | 2014 |
| Recommending information to present to users without server-side collection of user data for those users D Lee, D Jin, R Karim, NIE Zhi, R Ghewari, Y Li, MY Wang US Patent 11,954,162, 2024 | 2 | 2024 |
| Method of comparison-based ranking D Jin, Z NIE, R Ghewari, R Karim, MY Wang, D Lee, Y Li US Patent App. 16/870,818, 2020 | 1 | 2020 |
| Machine Learning Methods for Diagnosis, Prognosis and Prediction of Long-term Treatment Outcome of Major Depression Z Nie Arizona State University, 2017 | | 2017 |
| Predictive Modeling of Treatment Resistant Depression using Data from STAR* D and an Independent Clinical Study Z Nie, VA Narayan, GM Wittenberg, J Ye, QS Li BIOLOGICAL PSYCHIATRY 79 (9), 54S-55S, 2016 | | 2016 |
| Sparse Generalized Functional Linear Models for Predicting Treatment Resistance with Longitudinal Data Y Liu, Z Nie, Q Li, V Narayan, H Manji, J Ye, G Wittenberg NEUROPSYCHOPHARMACOLOGY 39, S440-S441, 2014 | | 2014 |
| 3D SURFACE SHAPE ANALYSIS OF THE CORPUS CALLOSUM IN PREMATURE NEONATES Y Wang, A Panigrahy, J Shi, R Ceschin, Z Nie, MD Nelson, N Lepore | | |
| Corpus Collosum Shape Analysis on Premature Neonates-A Surface mTBM Study Y Wang, A Panigrahy, J Shi, R Ceschin, Z Nie, MD Nelson, N Lepore | | |
