| Exploring the SARS-CoV-2 virus-host-drug interactome for drug repurposing S Sadegh, J Matschinske, DB Blumenthal, G Galindez, T Kacprowski, ... Nature communications 11 (1), 3518, 2020 | 179 | 2020 |
| 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 | 78 | 2022 |
| 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 | 57 | 2022 |
| The FeatureCloud platform for federated learning in biomedicine: unified approach J Matschinske, J Späth, M Bakhtiari, N Probul, MM Kazemi Majdabadi, ... Journal of Medical Internet Research 25, e42621, 2023 | 30* | 2023 |
| 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 | 29* | 2021 |
| Performance evaluation of Web server workloads in Xen‐based virtualized computer system: analytical modeling and experimental validation K RahimiZadeh, R Nasiri Gerde, M AnaLoui, P Kabiri Concurrency and Computation: Practice and Experience 27 (17), 4741-4762, 2015 | 26 | 2015 |
| Federated principal component analysis for genome-wide association studies A Hartebrodt, R Nasirigerdeh, DB Blumenthal, R Röttger 2021 IEEE International Conference on Data Mining (ICDM), 1090-1095, 2021 | 20 | 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 | 15 | 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 | 15 | 2021 |
| Tintenfisch: File System Namespace Schemas And Generators MA Sevilla, R Nasirigerdeh, J LeFevre, N Watkins, P Alvaro, M Lawson, ... 10th {USENIX} Workshop on Hot Topics in Storage and File Systems (HotStorage 18), 2018 | 9 | 2018 |
| Label noise-robust learning using a confidence-based sieving strategy R Torkzadehmahani, R Nasirigerdeh, D Rueckert, G Kaissis arXiv preprint arXiv:2210.05330, 2022 | 8 | 2022 |
| Programmable caches with a data management language and policy engine MA Sevilla, C Maltzahn, P Alvaro, R Nasirigerdeh, BW Settlemyer, ... 2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2018 | 7 | 2018 |
| Performance analysis of Web application in Xen-based virtualized environment R NasiriGerdeh, N Hosseini, K RahimiZadeh, M AnaLoui 2015 5th International Conference on Computer and Knowledge Engineering …, 2015 | 7 | 2015 |
| Kernel Normalized Convolutional Networks R Nasirigerdeh, R Torkzadehmahani, D Rueckert, G Kaissis Transactions on Machine Learning Research (TMLR), 1-21, 2024 | 4 | 2024 |
| Machine unlearning for medical imaging R Nasirigerdeh, N Razmi, JA Schnabel, D Rueckert, G Kaissis arXiv preprint arXiv:2407.07539, 2024 | 3 | 2024 |
| Utility-preserving Federated Learning R Nasirigerdeh, D Rueckert, G Kaissis Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security …, 2023 | 3 | 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 | 3 | 2023 |
| Improved Localized Machine Unlearning Through the Lens of Memorization R Torkzadehmahani, R Nasirigerdeh, G Kaissis, D Rueckert, ... arXiv preprint arXiv:2412.02432, 2024 | | 2024 |
| Efficient Federated and Privacy-preserving Machine Learning R Nasirigerdeh Technische Universität München, 2024 | | 2024 |
Jan BaumbachInstitute for Computational Systems Biology, University of HamburgAdresse e-mail validée de cosy.bio
