| FDR-controlled metabolite annotation for high-resolution imaging mass spectrometry A Palmer, P Phapale, I Chernyavsky, R Lavigne, D Fay, A Tarasov, ... Nature methods 14 (1), 57-60, 2017 | 409 | 2017 |
| METASPACE: A community-populated knowledge base of spatial metabolomes in health and disease T Alexandrov, K Ovchinnikova, A Palmer, V Kovalev, A Tarasov, L Stuart, ... BioRxiv, 539478, 2019 | 58* | 2019 |
| Curatr: A web application for creating, curating and sharing a mass spectral library A Palmer, P Phapale, D Fay, T Alexandrov Bioinformatics 34 (8), 1436-1438, 2018 | 17 | 2018 |
| Decentralized differentially private segmentation with pate D Fay, J Sjölund, TJ Oechtering arXiv preprint arXiv:2004.06567, 2020 | 7 | 2020 |
| Dynamic privacy allocation for locally differentially private federated learning with composite objectives J Zhang, D Fay, M Johansson ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 3 | 2024 |
| Radiotherapy plan parameters with privacy guarantees D Fay, JO Sjolund US Patent 11,975,218, 2024 | 2 | 2024 |
| Towards Scalable Machine Learning with Privacy Protection D Fay KTH Royal Institute of Technology, 2023 | 1 | 2023 |
| Privacy of real-time pricing in smart grid MG Boroujeni, D Fay, C Dimitrakakis, M Kamgarpour 2019 IEEE 58th Conference on Decision and Control (CDC), 5162-5167, 2019 | 1 | 2019 |
| Membership Privacy in Neural Networks for Medical Image Segmentation D Fay | 1 | 2019 |
| Implementing adaptive separable convolution for video frame interpolation M Kartašev, C Rapisarda, D Fay arXiv preprint arXiv:1809.07759, 2018 | 1 | 2018 |
| Repurposing traditional U-Net predictions for sparse SAM prompting in medical image segmentation ZM Colbert, D Arrington, M Foote, J Gårding, D Fay, M Huo, M Pinkham, ... Biomedical Physics & Engineering Express 10 (2), 025004, 2024 | | 2024 |
| Privacy Amplification via Importance Sampling D Fay, S Mair, J Sjölund arXiv preprint arXiv:2307.10187, 2023 | | 2023 |
| Adaptive Hyperparameter Selection for Differentially Private Gradient Descent D Fay, S Magnússon, J Sjölund, M Johansson Transactions on Machine Learning Research, 2023 | | 2023 |
| Private Learning Via Knowledge Transfer with High-Dimensional Targets D Fay, J Sjölund, TJ Oechtering ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | | 2022 |
| Private Learning for High-Dimensional Targets with PATE D Fay, J Sjölund, TJ Oechtering | | 2020 |
| Learning Enriched Latent Spaces for Flexible Model-based Control PL Dovesi, E Gunnlaugsson, C Rapisarda, D Fay | | |
