| Machine learning vs. classic statistics for the prediction of IVF outcomes Z Barnett-Itzhaki, M Elbaz, R Butterman, D Amar, M Amitay, C Racowsky, ... Journal of assisted reproduction and genetics 37, 2405-2412, 2020 | 57 | 2020 |
| Spatial and temporal mapping of breast cancer lung metastases identify TREM2 macrophages as regulators of the metastatic boundary I Yofe, T Shami, N Cohen, T Landsberger, F Sheban, L Stoler-Barak, ... Cancer discovery 13 (12), 2610-2631, 2023 | 36 | 2023 |
| Analysis of a breast cancer mathematical model by a new method to find an optimal protocol for HER2-positive cancer OP Nave, M Elbaz, S Bunimovich-Mendrazitsky Biosystems 197, 104191, 2020 | 21 | 2020 |
| Artificial immune system features added to breast cancer clinical data for machine learning (ML) applications OP Nave, M Elbaz Biosystems 202, 104341, 2021 | 17 | 2021 |
| BCG and IL-2 model for bladder cancer treatment with fast and slow dynamics based on SPVF method—stability analysis OP Nave, S Hareli, M Elbaz, IH Iluz, S Bunimovich-Mendrazitsky Math. Biosci. Eng 16 (5), 5346-5379, 2019 | 17 | 2019 |
| Method of directly defining the inverse mapping applied to prostate cancer immunotherapy—Mathematical model O Nave, M Elbaz International Journal of Biomathematics 11 (05), 1850072, 2018 | 4 | 2018 |
| Combination of singularly perturbed vector field method and method of directly defining the inverse mapping applied to complex ODE system prostate cancer model O Nave, M Elbaz Journal of Biological Dynamics 12 (1), 961-986, 2018 | 4 | 2018 |
| NeuroConstruct-based implementation of structured-light stimulated retinal circuitry M Elbaz, R Buterman, E Ezra Tsur BMC neuroscience 21 (1), 28, 2020 | 1 | 2020 |
| A new method to find the optimal dosage for Breast Cancer treatment using mathematics tools OP Nave, M ELbaz | | |
OPhir NaveThe College of Management Academic StudiesVerified email at colman.ac.il
