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Dominik Fay
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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
3552017
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
582019
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
142018
Decentralized differentially private segmentation with pate
D Fay, J Sjölund, TJ Oechtering
arXiv preprint arXiv:2004.06567, 2020
72020
METASPACE: A community-populated knowledge base of spatial metabolomes in health and disease. bioRxiv 2019. 539478
T Alexandrov, K Ovchinnikova, A Palmer, V Kovalev, A Tarasov, L Stuart, ...
DOI 10 (53947810.1101), 539478, 0
3
Towards Scalable Machine Learning with Privacy Protection
D Fay
KTH Royal Institute of Technology, 2023
12023
Radiotherapy plan parameters with privacy guarantees
D Fay, JO Sjolund
US Patent App. 17/595,488, 2022
12022
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
12019
Membership Privacy in Neural Networks for Medical Image Segmentation
D Fay
12019
Implementing adaptive separable convolution for video frame interpolation
M Kartašev, C Rapisarda, D Fay
arXiv preprint arXiv:1809.07759, 2018
12018
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
Repurposing traditional U-Net predictions for sparse SAM prompting in medical image segmentation
Z Morton Colbert, D Arrington, M Foote, J Gårding, D Fay, M Huo, ...
Biomedical Engineering & Physics Express 10 (2), 2024
2024
Dynamic Privacy Allocation for Locally Differentially Private Federated Learning with Composite Objectives
J Zhang, D Fay, M Johansson
arXiv preprint arXiv:2308.01139, 2023
2023
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
FDR-controlled metabolite annotation for high-resolution imaging mass spectrometry
D Fay, J Fuchser, I Chernyavsky, V Kovalev, A Palmer, P Phapale, ...
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