output
20172024
most citedA Time-Of-Flight-Based Reconstruction for Real-Time Prompt-Gamma Imaging in Protontherapy

28 citations

11 papers

physics.ins-det2024★ 1 cited

A fast plastic scintillator for low intensity proton beam monitoring

Adélie André, Christophe Hoarau, Yannick Boursier +14

In the context of particle therapy monitoring, we are developing a gamma-ray detector to determine the ion range in vivo from the measurement of particle time-of-flight. For this a…

physics.acc-ph2024

Design and commissioning of a high-level control system for a medical isochronous cyclotron

Petter Hofverberg, Jean-Marc Bergerot, Jean-Michel Bruneau +1

MEDICYC (MEDical CYClotron) is an isochronous cyclotron dedicated to radiotherapy which was built and commissioned in Nice, France, in 1990 by a local team aided by experts from CE…

physics.acc-ph2023

Validation of a new 60 MeV proton beam-line for radiation hardness testing

Petter Hofverberg, Francoise Bezerra, Marine Ruffenach +4

A 60 MeV proton beam-line has been developed in Nice, France, in collaboration with the Centre National d'Etudes Spatiales (CNES). Experimental results are presented here to valida…

physics.ins-det2023

Radiation Tolerance of Low-Noise Photoreceivers for the LISA Space Mission

P. Colcombet, N. Dinu-Jaeger, C. Inguimbert +16

This study investigates the effects of space environmental radiation on the performance of InGaAs Quadrant Photodiodes (QPDs) and assesses their suitability for the Laser Interfero…

physics.med-ph2023★ 19 cited

A high sensitivity Cherenkov detector for Prompt Gamma Timing and Time Imaging

Maxime Jacquet, Saba Ansari, Marie-Laure Gallin-Martel +13

We recently proposed a new approach for the real-time monitoring of particle therapy treatments with the goal of achieving high sensitivities on the particle range measurement alre…

cs.LG2023★ 11 cited

Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications

Francesco Cremonesi, Marc Vesin, Sergen Cansiz +16

The real-world implementation of federated learning is complex and requires research and development actions at the crossroad between different domains ranging from data science, t…