| Dp-cgan: Differentially private synthetic data and label generation R Torkzadehmahani, P Kairouz, B Paten Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 192 | 2019 |
| sPLINK: a hybrid federated tool as a robust alternative to meta-analysis in genome-wide association studies R Nasirigerdeh, R Torkzadehmahani, J Matschinske, T Frisch, M List, ... Genome Biology 23 (1), 1-24, 2022 | 31* | 2022 |
| Privacy-preserving artificial intelligence techniques in biomedicine R Torkzadehmahani, R Nasirigerdeh, DB Blumenthal, T Kacprowski, ... Methods of Information in Medicine 61, e12-e27, 2022 | 22 | 2022 |
| Flimma: a federated and privacy-aware tool for differential gene expression analysis O Zolotareva, R Nasirigerdeh, J Matschinske, R Torkzadehmahani, ... Genome biology 22 (1), 1-26, 2021 | 10* | 2021 |
| On the privacy of federated pipelines R Nasirigerdeh, R Torkzadehmahani, J Baumbach, DB Blumenthal Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 9 | 2021 |
| The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach M MM, R Nasirigerdeh, R Torkzadehmahani, H Hartebrodt, BA Orban, ... Journal of Medical Internet Research, 2023 | 7* | 2023 |
| HyFed: A hybrid federated framework for privacy-preserving machine learning R Nasirigerdeh, R Torkzadehmahani, J Matschinske, J Baumbach, ... arXiv preprint arXiv:2105.10545, 2021 | 7 | 2021 |
| Label Noise-Robust Learning using a Confidence-Based Sieving Strategy R Torkzadehmahani, R Nasirigerdeh, D Rueckert, G Kaissis arXiv preprint arXiv:2210.05330, 2022 | 2 | 2022 |
| Kernel normalized convolutional networks R Nasirigerdeh, R Torkzadehmahani, D Rueckert, G Kaissis arXiv preprint arXiv:2205.10089, 2022 | 1 | 2022 |
| Trust prediction in multiplex networks RT Mahani, M Analoui 2015 2nd International Conference on Knowledge-Based Engineering and …, 2015 | 1 | 2015 |
