| Development and validation of a machine learning‐based postpartum depression prediction model: A nationwide cohort study E Hochman, B Feldman, A Weizman, A Krivoy, S Gur, E Barzilay, H Gabay, ... Depression and anxiety 38 (4), 400-411, 2021 | 62 | 2021 |
| Theoretical aspects of dynamic nuclear polarization in the solid state: the influence of high radical concentrations on the solid effect and cross effect mechanisms Y Hovav, O Levinkron, A Feintuch, S Vega Applied Magnetic Resonance 43, 21-41, 2012 | 51 | 2012 |
| Elective caesarean section and bronchiolitis hospitalization: A retrospective cohort study LC Douglas, M Leventer‐Roberts, O Levinkron, KM Wilson Pediatric Allergy and Immunology 32 (2), 280-287, 2021 | 9 | 2021 |
| Overshooting cell detection O Levinkron, Y Kassner, S Taib, N Romero, A Assayag, M Hegaze, ... US Patent 10,251,102, 2019 | 5 | 2019 |
| Gestational hemodilution as a putative risk factor for postpartum depression: A large-scale nationwide longitudinal cohort study E Hochman, B Feldman, A Weizman, A Krivoy, S Gur, E Barzilay, H Gabay, ... Journal of Affective Disorders 325, 444-452, 2023 | 1 | 2023 |
| A Causal Approach for Business Optimization: Application on an Online Marketplace N Parush, O Levinkron-Fisch, H Shteingart, AB Sela, A Zilberman, J Klein arXiv preprint arXiv:2207.01722, 2022 | | 2022 |
| Machine Learning Prescriptive Canvas for Optimizing Business Outcomes H Shteingart, G Oostra, O Levinkron, N Parush, G Shabat, D Aronovich arXiv preprint arXiv:2206.10333, 2022 | | 2022 |
| Validating reported cause of death using integrated electronic health records from a nation-wide database M Leventer-Roberts, Z Haklai, Y Applbaum, N Goldberger, D Cohen, ... Journal of Public Health 43 (2), 341-347, 2021 | | 2021 |
