161 citations · 213 across the 6 of their papers we have counts for
6 papers
BayesDose: Comprehensive proton dose prediction with model uncertainty using Bayesian LSTMs
Luke Voss, Ahmad Neishabouri, Tim Ortkamp +2
We propose the BayesDose-Framework, a Bayesian approach for fast and accurate dose prediction in proton therapy. Our framework is based on a previously published deterministic LSTM…
Recent Advancements of Artificial Intelligence in Particle Therapy
Hao Peng, Chao Wu, Dan Nguyen +4
We are in a golden age of progress in artificial intelligence (AI). Radiotherapy, due to its technology-intensive nature as well as direct human-machine interactions, is perfectly…
Dosimetric commissioning and quality assurance of scanned ion beams at the Italian National Center for Oncological Hadrontherapy
Alfredo Mirandola, S. Molinelli, G. Vilches Freixas +9
Purpose: To describe the dosimetric commissioning and quality assurance (QA) of the actively scanned proton and carbon ion beams at the Italian National Center for Oncological Hadr…
Applications of Artificial Intelligence in Particle Radiotherapy
Chao Wu, Dan Nguyen, Jan Schuemann +3
Radiotherapy, due to its technology-intensive nature and reliance on digital data and human-machine interactions, is particularly suited to benefit from artificial intelligence (AI…
Long short-term memory networks for proton dose calculation in highly heterogeneous tissues
Ahmad Neishabouri, Niklas Wahl, Ulrich Köthe +1
A novel dose calculation approach was designed based on the application of LSTM network that processes the 3D patient/phantom geometry as a sequence of 2D computed tomography input…
First tests for an online treatment monitoring system with in-beam PET for proton therapy
Aafke C. Kraan, G. Battistoni, N. Belcari +13
PET imaging is a non-invasive technique for particle range verification in proton therapy. It is based on measuring the beta+ annihilations caused by nuclear interactions of the pr…