184 citations · 220 across the 5 of their papers we have counts for
8 papers
Observer study-based evaluation of TGAN architecture used to generate oncological PET images
Roberto Fedrigo, Fereshteh Yousefirizi, Ziping Liu +9
The application of computer-vision algorithms in medical imaging has increased rapidly in recent years. However, algorithm training is challenging due to limited sample sizes, lack…
3-D PET Image Generation with tumour masks using TGAN
Robert V Bergen, Jean-Francois Rajotte, Fereshteh Yousefirizi +3
Training computer-vision related algorithms on medical images for disease diagnosis or image segmentation is difficult due to the lack of training data, labeled samples, and privac…
Measurement of the Beam-Normal Single-Spin Asymmetry for Elastic Electron Scattering from C and Al
QWeak Collaboration, D. Androic, D. S. Armstrong +82
We report measurements of the parity-conserving beam-normal single-spin elastic scattering asymmetries on C and Al, obtained with an electron beam polarized tra…
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary
Jean-Francois Rajotte, Sumit Mukherjee, Caleb Robinson +4
We introduce FELICIA (FEderated LearnIng with a CentralIzed Adversary) a generative mechanism enabling collaborative learning. In particular, we show how a data owner with limited…
Private data sharing between decentralized users through the privGAN architecture
Jean-Francois Rajotte, Raymond T Ng
More data is almost always beneficial for analysis and machine learning tasks. In many realistic situations however, an enterprise cannot share its data, either to keep a competiti…
Precision Measurement of the Beam-Normal Single-Spin Asymmetry in Forward-Angle Elastic Electron-Proton Scattering
QWeak collaboration, D. Androic, D. S. Armstrong +92
A beam-normal single-spin asymmetry generated in the scattering of transversely polarized electrons from unpolarized nucleons is an observable related to the imaginary part of the…