Nicholas E. Protonotarios
Orcid: 0000-0002-7701-5644
According to our database1,
Nicholas E. Protonotarios
authored at least 11 papers
between 2017 and 2024.
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Bibliography
2024
Differentially Private Client Selection and Resource Allocation in Federated Learning for Medical Applications Using Graph Neural Networks.
Sensors, August, 2024
Noninvasive Quantification of Glucose Metabolism in Mice Myocardium Using the Spline Reconstruction Technique.
J. Imaging, July, 2024
Enhancing Internet of Medical Things security with artificial intelligence: A comprehensive review.
Comput. Biol. Medicine, March, 2024
Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments, 2024
Client Selection and Resource Allocation via Graph Neural Networks for Efficient Federated Learning in Healthcare Environments.
Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments, 2024
2023
Lightweight machine learning for privacy-preserving and secure networked medical devices: The SEPTON project use cases.
Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023
2022
Discrete Shearlets as a Sparsifying Transform in Low-Rank Plus Sparse Decomposition for Undersampled (k, t)-Space MR Data.
J. Imaging, 2022
Sigmoid and Beyond: Algebraic Activation Functions for Artificial Neural Networks Based on Solutions of a Riccati Equation.
IT Prof., 2022
Comput. Methods Programs Biomed., 2022
2019
A Spline Approach to Parallel-Hole Collimator Deblurring for aSRT-Reconstructed SPECT Images.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019
2017
Automatic cumulative sums contour detection of FBP-reconstructed multi-object nuclear medicine images.
Comput. Biol. Medicine, 2017