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Physics in Medicine and Biology|October 27, 2016
A general method to derive tissue parameters for Monte Carlo dose calculation with multi-energy CTArthur Lalonde, Hugo BouchardMedical Physics|July 29, 2017
A Bayesian approach to solve proton stopping powers from noisy multi-energy CT dataArthur Lalonde, Esther Bär, Hugo BouchardPhysics in Medicine and Biology|March 19, 2020
Parametrization of multi-energy CT projection data with eigentissue decompositionMikaël Simard, Arthur Lalonde, Hugo BouchardPhysics in Medicine and Biology|July 3, 2018
Unsupervised classification of tissues composition for Monte Carlo dose calculationArthur Lalonde, Charlotte Remy, Mikaël Simard, et al.Physics in Medicine and Biology|September 6, 2018
The impact of dual- and multi-energy CT on proton pencil beam range uncertainties: a Monte Carlo studyArthur Lalonde, Mikaël Simard, Charlotte Remy, et al.Physics in Medicine and Biology|July 13, 2018
Optimized I-values for use with the Bragg additivity rule and their impact on proton stopping power and range uncertaintyEsther Bär, Pedro Andreo, Arthur Lalonde, et al.Physics in Medicine and Biology|April 19, 2019
The potential of photon-counting CT for quantitative contrast-enhanced imaging in radiotherapyMikaël Simard, Andréanne Lapointe, Arthur Lalonde, et al.Medical Physics|March 16, 2017
The potential of dual-energy CT to reduce proton beam range uncertaintiesEsther Bär, Arthur Lalonde, Gary Royle, et al.Physics in Medicine and Biology|March 24, 2025
Physics-based energy spectrum optimization (PESO): a new method to model the energy spectrum of a compact ultra-high dose rate electron linac for Monte Carlo dose calculationSamuel Audet, William Beaulieu, Karim Zerouali, et al.Physics in Medicine and Biology|December 21, 2017
Dosimetric impact of dual-energy CT tissue segmentation for low-energy prostate brachytherapy: a Monte Carlo studyCharlotte Remy, Arthur Lalonde, Dominic Béliveau-Nadeau, et al.Pageof 10