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Kevin Souris

Researcher at Université catholique de Louvain

Publications -  55
Citations -  808

Kevin Souris is an academic researcher from Université catholique de Louvain. The author has contributed to research in topics: Monte Carlo method & Proton therapy. The author has an hindex of 12, co-authored 47 publications receiving 422 citations. Previous affiliations of Kevin Souris include Catholic University of Leuven & The Catholic University of America.

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Fast multipurpose Monte Carlo simulation for proton therapy using multi- and many-core CPU architectures

TL;DR: A fast multipurpose Monte Carlo simulation tool for proton therapy using massively parallel central processing unit (CPU) architectures and optimized code enables the use of accurate MC calculation within a reasonable computation time, adequate for clinical practice.
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Artificial intelligence and machine learning for medical imaging: A technology review.

TL;DR: Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence of disruptive technical advances and impressive experimental results, notably in the field of image analysis and processing as discussed by the authors.
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Evaluation of motion mitigation using abdominal compression in the clinical implementation of pencil beam scanning proton therapy of liver tumors

TL;DR: A planning preparation workflow that can be used for beam angle selection and the evaluation of the efficacy of abdominal compression to mitigate motion is reported and Abdominal compression was found to be useful at mitigation of moderate and large motion.
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Validation and clinical implementation of an accurate Monte Carlo code for pencil beam scanning proton therapy

TL;DR: A methodology for commissioning and validating an accurate MC code for PBS utilizing a parameterized source model, including an implementation of a range shifter, that can independently check the ADC in commercial treatment planning system (TPS) and fast Monte Carlo dose calculation in opensource platform (MCsquare).
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Feasibility of online IMPT adaptation using fast, automatic and robust dose restoration.

TL;DR: Analysis of local dose differences showed that, although all dose restorations performed similarly in high dose regions, iDR restored the initial dose with higher precision and accuracy in the whole patient anatomy.