activity
20192021
most citedGenerative Adversarial Networks (GAN) for compact beam source modelling in Monte Carlo simulations

34 citations · 87 across the 5 of their papers we have counts for

collaborators

6 papers

physics.med-ph2021

Relative stopping power precision in time-of-flight proton CT

Nils Krah, Denis Dauvergne, Jean Michel Létang +2

Proton computed tomography (CT) is similar to x-ray CT but relies on protons rather than photons to form an image. In its most common operation mode, the measured quantity is the a…

physics.ins-det2021

Characterization of a beam-tagging hodoscope for hadrontherapy monitoring

O. Allegrini, J. -P. Cachemiche, C. P. C. Caplan +11

A beam tagging hodoscope prototype made of squared 1 mm fibers arranged in two perpendicular planes and coupled to multi-anode photomultipliers has been studied using 65 MeV pr…

physics.med-ph2020★ 28 cited

A Time-Of-Flight-Based Reconstruction for Real-Time Prompt-Gamma Imaging in Protontherapy

Maxime Jacquet, Sara Marcatili, Marie-Laure Gallin-Martel +11

We are currently conceiving, through (MC) simulation, a multi-channel gamma detector array (TIARA for Time-of-flight Imaging ARrAy) for the online monitoring of protontherapy treat…

physics.med-ph2020★ 2 cited

A 100 ps TOF Detection System for On-Line Range- Monitoring in Hadrontherapy

Sara Marcatili, Sébastien Curtoni, Denis Dauvergne +11

The accuracy of hadrontherapy treatment is currently limited by ion-range uncertainties. In order to fully exploit the potential of this technique, we propose the development of a…

physics.med-ph2020★ 23 cited

Ultra-fast prompt gamma detection in single proton counting regime for range monitoring in particle therapy

S. Marcatili, J. Collot, S. Curtoni +12

In order to fully exploit the ballistic potential of particle therapy, we propose an online range monitoring concept based on high-resolution Time-Of-Flight (TOF)-resolved Prompt G…

physics.med-ph2019★ 34 cited

Generative Adversarial Networks (GAN) for compact beam source modelling in Monte Carlo simulations

David Sarrut, Nils Krah, Jean-Michel Létang

A method is proposed and evaluated to model large and inconvenient phase space files used in Monte Carlo simulations by a compact Generative Adversarial Network (GAN). The GAN is t…