most citedA Unified Generation-Registration Framework for Improved MR-based CT Synthesis in Proton Therapy

3 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

physics.med-ph2024★ 1 cited

GAMBAS -- Fast Beam Arrangement Selection for Proton Therapy using a Nearest Neighbour Model

Renato Bellotti, Nicola Bizzocchi, Antony J. Lomax +3

Purpose: Beam angle selection is critical in proton therapy treatment planning, yet automated approaches remain underexplored. This study presents and evaluates GAMBAS, a novel, fa…

physics.med-ph2024★ 1 cited

JulianA.jl -- A Julia package for radiotherapy

Renato Bellotti, Antony J. Lomax, Andreas Adelmann +1

The importance of computers is continually increasing in radiotherapy. Efficient algorithms, implementations and the ability to leverage advancements in computer science are crucia…

physics.med-ph2024

Clinical utility of automatic treatment planning for proton therapy of head-and-neck cancer patients using JulianA

Renato Bellotti, Alexey Cherchik, Jonas Willmann +3

Background: Automatic treatment planning promises many benefits for both research and clinical environments. For clinics, autoplanning promises to reduce planning time and achieve…

physics.med-ph2024★ 3 cited

A Unified Generation-Registration Framework for Improved MR-based CT Synthesis in Proton Therapy

Xia Li, Renato Bellotti, Barbara Bachtiary +5

Background: In MR-guided proton therapy planning, aligning MR and CT images is key for MR-based CT synthesis, especially in mobile regions like the head-and-neck. Misalignments her…

physics.med-ph2023★ 2 cited

JulianA: An automatic treatment planning platform for intensity-modulated proton therapy and its application to intra- and extracerebral neoplasms

Renato Bellotti, Jonas Willmann, Antony J. Lomax +3

Creating high quality treatment plans is crucial for a successful radiotherapy treatment. However, it demands substantial effort and special training for dosimetrists. Existing aut…