| Graph transfer learning A Gritsenko, K Shayestehfard, Y Guo, A Moharrer, J Dy, S Ioannidis Knowledge and Information Systems 65 (4), 1627-1656, 2023 | 7 | 2023 |
| Aligngraph: A group of generative models for graphs K Shayestehfard, D Brooks, S Ioannidis Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 1 | 2023 |
| Permutation Invariant Graph Learning K Shayestehfard Northeastern University, 2023 | | 2023 |
| Fast and Efficient 𝑛-Metrics for Multiple Graphs K Shayestehfard, D Brooks, S Ioannidis | | 2022 |
| Abstract# 99: Optimizing Localization of Temporal Interference Stimulation Effects in a Spherical Head Model K Shayestehfard, B Roig-Solvas, S Rampersad, M Yarossi, M Dannhauer, ... Brain Stimulation: Basic, Translational, and Clinical Research in …, 2019 | | 2019 |
| Abstract# 116: Simulations of temporal interference tCS in a realistic head model S Rampersad, K Shayestehfard, B Roig-Solvas, M Yarossi, DH Brooks Brain Stimulation: Basic, Translational, and Clinical Research in …, 2019 | | 2019 |
| Modeling, Optimization and Validation for Brain Stimulation K Shayestehfard Northeastern University, 2018 | | 2018 |
| OPTISTIM–Combining computational neuroscience and electrophysiology for optimal cortical electric stimulation M Dannhauer, A Gkogkidis, S Guler, K Shayestehfard, R MacLeod, T Ball, ... Brain Stimulation: Basic, Translational, and Clinical Research in …, 2017 | | 2017 |
| Modeling and optimizing cortical electric stimulation K Shayestehfard, M Dannhauer, S Guler, A Gkogkidis, D Caldwell, ... Brain Stimulation: Basic, Translational, and Clinical Research in …, 2017 | | 2017 |
