Nicholas E. Protonotarios

Orcid: 0000-0002-7701-5644

According to our database1, Nicholas E. Protonotarios authored at least 11 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

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


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

Evaluation of the spline reconstruction technique for preclinical PET imaging.
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


  Loading...