From the 2 of 3 linked papers with an AI index.
3 papers
physics.med-ph2026
Three-Photon Bayesian Imaging of Ortho-Positronium
L. Raczynski, W. Krzemien, A. Coussat +5
PET provides functional images relying on two-photon coincidences from positron-electron annihilation. In human tissue, about 40\% of annihilations are preceded by Ps formation, of…
cs.CV2026
A systematic evaluation of machine learning classifiers for event-by-event background rejection in LAFOV PET scanners
Konrad Klimaszewski, MichaÅ Obara, Mateusz Bala +5
The paper evaluates machine‑learning classifiers (XGBoost, AdaBoost, neural networks) for classifying individual PET coincidence events to reduce background in large‑field‑of‑view…
physics.med-ph2026
A Monte Carlo positronium decay source model with multiple annihilation channels in GATE
Wojciech Krzemien, Mateusz Bala, Kamil Dulski +10
Positronium-based imaging requires realistic modelling of positronium (Ps) decay in matter. We introduce a modular Ps decay model implemented in GATE 9.4 and GATE 10, enabling the…