| The OncoPPi network of cancer-focused protein–protein interactions to inform biological insights and therapeutic strategies Z Li, AA Ivanov, R Su, V Gonzalez-Pecchi, Q Qi, S Liu, P Webber, ... Nature communications 8 (1), 14356, 2017 | 203 | 2017 |
| Multistage campaigning in social networks M Farajtabar, X Ye, S Harati, L Song, H Zha Advances in Neural Information Processing Systems, 4718-4726, 2016 | 59 | 2016 |
| Depression severity classification from speech emotion S Harati, A Crowell, H Mayberg, S Nemati 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 49 | 2018 |
| Cingulum stimulation enhances positive affect and anxiolysis to facilitate awake craniotomy KR Bijanki, JR Manns, CS Inman, KS Choi, S Harati, NP Pedersen, ... The Journal of Clinical Investigation 129 (3), 1152-1166, 2019 | 45 | 2019 |
| Classifying major depressive disorder and response to deep brain stimulation over time by analyzing facial expressions Z Jiang, S Harati, A Crowell, HS Mayberg, S Nemati, GD Clifford IEEE transactions on biomedical engineering 68 (2), 664-672, 2020 | 42 | 2020 |
| Discriminating clinical phases of recovery from major depressive disorder using the dynamics of facial expression S Harati, A Crowell, H Mayberg, J Kong, S Nemati 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 32 | 2016 |
| Stress markers for mental states and biotypes of depression and anxiety: a scoping review and preliminary illustrative analysis M Chesnut, S Harati, P Paredes, Y Khan, A Foudeh, J Kim, Z Bao, ... Chronic Stress 5, 24705470211000338, 2021 | 30 | 2021 |
| Classifying depression severity in recovery from major depressive disorder via dynamic facial features S Harati, A Crowell, Y Huang, H Mayberg, S Nemati IEEE journal of biomedical and health informatics 24 (3), 815-824, 2019 | 24 | 2019 |
| Investigation of factors affecting RNA-seq gene expression calls S Harati, JH Phan, MD Wang 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 13 | 2014 |
| Addressing the credit assignment problem in treatment outcome prediction using temporal difference learning S Harati, A Crowell, H Mayberg, S Nemati PACIFIC SYMPOSIUM ON BIOCOMPUTING 2020, 43-54, 2019 | 6 | 2019 |
| Corrigendum: the OncoPPi network of cancer-focused protein–protein interactions to inform biological insights and therapeutic strategies Z Li, AA Ivanov, R Su, V Gonzalez-Pecchi, Q Qi, S Liu, P Webber, ... Nature communications 8, 2017 | 6 | 2017 |
| S35. Using machine learning to characterize circuit-based subtypes in mood and anxiety disorders C Young, S Harati, T Ball, L Williams Biological Psychiatry 85 (10), S310, 2019 | 5 | 2019 |
| MEDICI: mining essentiality data to identify critical interactions for cancer drug target discovery and development S Harati, LAD Cooper, JD Moran, FO Giuste, Y Du, AA Ivanov, MA Johns, ... PloS one 12 (1), e0170339, 2017 | 5 | 2017 |
| 823. Quantification of subjective intraoperative response to deep brain stimulation of the subcallosal cingulate using facial dynamics A Crowell, S Harati, S Nemati, H Mayberg Biological Psychiatry 81 (10), S334, 2017 | 2 | 2017 |
| Machine Learning Methods for Quantification of Depression Severity and Prediction of Recovery Trajectory Using Longitudinal Video and Audio Data, with Applications to Deep … S Harati Emory University, 2019 | | 2019 |
| Abstract PR15: Predicting the essentialities of protein-protein interactions in cancer LAD Cooper, JD Moran, Z Li, Y Du, S Harati, AA Ivanov, P Webber, ... Cancer Research 75 (22_Supplement_2), PR15-PR15, 2015 | | 2015 |
| Predicting Neonatal Sepsis Using Features of Heart Rate Variability, Respiratory Characteristics, and ECG-Derived Estimates of Infant Motion............. R. Joshi, D. Kommers … F Noman, SH Salleh, CM Ting, SB Samdin, H Ombao, H Hussain, SS Xu, ... | | |
Helen Mayberg MDIcahn School of Medicine at Mount SinaiVerified email at mssm.edu
