Publications by authors named "Nick Staut"

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L19-IL2 reverts radiation-induced lymphopenia in a mouse model of lung cancer.
Èlia Prades-Sagarra, Natasja G Lieuwes, Rianne Biemans, Lesley Schuitmaker, Stefan J van Hoof, Nick Staut

Radiother Oncol· July 2025

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Ensemble methods and partially-supervised learning for accurate and robust automatic murine organ segmentation.
Lars H B A Daenen, Joël de Bruijn, Nick Staut, Frank Verhaegen

Sci Rep· July 2025

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Dosimetric validation of SmART-RAD Monte Carlo modelling for x-ray cabinet radiobiology irradiators.
Mark A Hill, Nick Staut, James M Thompson, Frank Verhaegen

Phys Med Biol· April 2024

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Roadmap for precision preclinical x-ray radiation studies.
Frank Verhaegen, Karl T Butterworth, Anthony J Chalmers, Rob P Coppes, Dirk de Ruysscher, Nick Staut

Phys Med Biol· March 2023

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A novel multichannel deep learning model for fast denoising of Monte Carlo dose calculations: preclinical applications.
Robert H W van Dijk, Nick Staut, Cecile J A Wolfs, Frank Verhaegen

Phys Med Biol· August 2022

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Automatic contouring of normal tissues with deep learning for preclinical radiation studies.
Georgios Lappas, Cecile J A Wolfs, Nick Staut, Natasja G Lieuwes, Rianne Biemans

Phys Med Biol· February 2022

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Inter-observer variability of organ contouring for preclinical studies with cone beam Computed Tomography imaging.
Georgios Lappas, Nick Staut, Natasja G Lieuwes, Rianne Biemans, Cecile J A Wolfs

Phys Imaging Radiat Oncol· January 2022

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