2 citations · 2 across the 2 of their papers we have counts for
3 papers
Deep Learning-Based Beamlet Model for Generic X-Ray Beam Dose Calculation
Maxime Rousselot, Jing Zhang, Didier Benoit +2
Modeling the absorbed dose during X-ray imaging is essential for optimizing radiation exposure. Monte Carlo simulations (MCS) are the gold standard for precise 3D dose estimation b…
CT respiratory motion synthesis using joint supervised and adversarial learning
Yi-Heng Cao, Vincent Bourbonne, François Lucia +4
Objective: Four-dimensional computed tomography (4DCT) imaging consists in reconstructing a CT acquisition into multiple phases to track internal organ and tumor motion. It is comm…
Fast-Track of F-18 Positron paths simulations using GANs
Youness Mellak, Konstantinos Chatzipapas, Alexandre Bousse +3
In recent years, the use of Monte Carlo (MC) simulations in the domain of Medical Physics has become a state-of-the-art technology that consumes lots of computational resources for…