| 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 | 223 | 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), 32, 2022 | 41* | 2022 |
| Privacy-preserving artificial intelligence techniques in biomedicine R Torkzadehmahani, R Nasirigerdeh, DB Blumenthal, T Kacprowski, ... Methods of information in medicine 61 (S 01), e12-e27, 2022 | 39 | 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), 338, 2021 | 17* | 2021 |
| The FeatureCloud platform for federated learning in biomedicine: unified approach J Matschinske, J Späth, M Bakhtiari, N Probul, MMK Majdabadi, ... Journal of Medical Internet Research 25 (1), e42621, 2023 | 12* | 2023 |
| 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 | 12 | 2021 |
| Hyfed: A hybrid federated framework for privacy-preserving machine learning R Nasirigerdeh, R Torkzadehmahani, J Matschinske, J Baumbach, ... arXiv preprint arXiv:2105.10545, 2021 | 11 | 2021 |
| Label Noise-Robust Learning using a Confidence-Based Sieving Strategy R Torkzadehmahani, R Nasirigerdeh, D Rueckert, G Kaissis Transactions on Machine Learning Research, 2023 | 4 | 2023 |
| Kernel normalized convolutional networks for privacy-preserving machine learning R Nasirigerdeh, J Torkzadehmahani, D Rueckert, G Kaissis 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 107-118, 2023 | 2 | 2023 |
| Trust prediction in multiplex networks RT Mahani, M Analoui 2015 2nd International Conference on Knowledge-Based Engineering and …, 2015 | 1 | 2015 |
