Brent van der Heyden

All papers authored by Brent van der Heyden

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2022 Brent van der Heyden

, Sophie V. Heymans

, Bram Carlier

, Gonzalo Collado-Lara

, Edmond Sterpin, Jan D’hooge

Deep learning for dose assessment in radiotherapy by the super-localization of vaporized nanodroplets in high frame rate ultrasound imaging

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This paper is made freely available by the publisher.

Brent van der Heyden

, Stijn Roden, Rüveyda Dok, Sandra Nuyts, Edmond Sterpin

Virtual monoenergetic micro-CT imaging in mice with artificial intelligence

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2021 Wouter R. P. H. van de Worp, Brent van der Heyden

, Georgios Lappas, Ardy van Helvoort

, Jan Theys

, Annemie M. W. J. Schols, Frank Verhaegen, Ramon C. J. Langen

Deep Learning Based Automated Orthotopic Lung Tumor Segmentation in Whole-Body Mouse CT-Scans

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Brent van der Heyden

, Marie Cohilis, Kevin Souris, Luana de Freitas Nascimento, Edmond Sterpin

Artificial intelligence supported single detector multi-energy proton radiography system

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Brent van der Heyden

The potential application of dual-energy subtraction radiography for COVID-19 pneumonia imaging

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2020 Brent van der Heyden

, Martin Uray, Gabriel Paiva Fonseca, Philipp Huber, Defne Us, Ivan Messner, Adam Law, Anastasiia Parii, Niklas Reisz, Ilaria Rinaldi, Gloria Vilches-Freixas, Heinz Deutschmann, Frank Verhaegen, Phil Steininger

A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder

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Brent van der Heyden

, Gabriel Paiva Fonseca, Mark Podesta, Ivan Messner, Niklas Reisz, Ana Vaniqui, Heinz Deutschmann, Phil Steininger, Frank Verhaegen

Modelling of the focal spot intensity distribution and the off-focal spot radiation in kilovoltage x-ray tubes for imaging

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Brent van der Heyden

, Wouter R. P. H. van de Worp, Ardy van Helvoort

, Jan Theys, Annemie M. W. J. Schols, Ramon C. J. Langen, Frank Verhaegen

Automated CT-derived skeletal muscle mass determination in lower hind limbs of mice using a 3D U-Net deep learning network

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Femke Vaassen, Colien Hazelaar, Ana Vaniqui, Mark Gooding, Brent van der Heyden

, Richard Canters, Wouter van Elmpt

Evaluation of measures for assessing time-saving of automatic organ-at-risk segmentation in radiotherapy

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2019 B. van der Heyden

, I. P. Almeida, G. Vilches-Freixas, C. Van Beveren, A. Vaniqui, C. Ares, K. Terhaag, G. P. Fonseca, D. B. P. Eekers, F. Verhaegen

A comparison study between single- and dual-energy CT density extraction methods for neurological proton monte carlo treatment planning

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Brent van der Heyden

, Patrick Wohlfahrt

, Daniëlle B. P. Eekers, Christian Richter, Karin Terhaag, Esther G. C. Troost, Frank Verhaegen

Dual-energy CT for automatic organs-at-risk segmentation in brain-tumor patients using a multi-atlas and deep-learning approach

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Isabel P. Almeida

, Ana Vaniqui, Lotte Ejr Schyns, Brent van der Heyden

, James Cooley, Townsend Zwart, Armin Langenegger, Frank Verhaegen

Exploring the feasibility of a clinical proton beam with an adaptive aperture for pre-clinical research

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Ana Vaniqui

, Lotte E. J. R. Schyns, Isabel P. Almeida, Brent van der Heyden

, Mark Podesta, Frank Verhaegen

The effect of different image reconstruction techniques on pre-clinical quantitative imaging and dual-energy CT

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Lotte Ejr Schyns, Daniëlle Bp Eekers, Brent van der Heyden

, Isabel P. Almeida, Ana Vaniqui, Frank Verhaegen

Murine vs human tissue compositions: implications of using human tissue compositions for photon energy absorption in mice

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2018 Jinzhong Yang, Harini Veeraraghavan, Samuel G. Armato, Keyvan Farahani, Justin S. Kirby, Jayashree Kalpathy-Kramer, Wouter van Elmpt, Andre Dekker, Xiao Han, Xue Feng, Paul Aljabar, Bruno Oliveira, Brent van der Heyden

, Leonid Zamdborg, Dao Lam and 2 other authors

Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017

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Brent van der Heyden

, Mark Podesta, Daniëlle Bp Eekers, Ana Vaniqui, Isabel P. Almeida, Lotte Ejr Schyns, Stefan J. van Hoof, Frank Verhaegen

Automatic multiatlas based organ at risk segmentation in mice

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Ana Vaniqui

, Brent van der Heyden

, Isabel P. Almeida, Lotte Ejr Schyns, Stefan J. van Hoof, Frank Verhaegen

On the determination of planning target margins due to motion for mice lung tumours using a four-dimensional MOBY phantom

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Isabel P. Almeida

, Lotte E. J. R. Schyns, Ana Vaniqui, Brent van der Heyden

, George Dedes, Andreas F. Resch, Florian Kamp, Jaap D. Zindler, Katia Parodi, Guillaume Landry, Frank Verhaegen

Monte Carlo proton dose calculations using a radiotherapy specific dual-energy CT scanner for tissue segmentation and range assessment

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Brent van der Heyden

, Lotte E. J. R. Schyns, Mark Podesta, Ana Vaniqui

, Isabel P. Almeida, Guillaume Landry, Frank Verhaegen

VOXSI: A voxelized single- and dual-energy CT scenario generator for quantitative imaging

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2017 Ana Vaniqui, Lotte E. J. R. Schyns, Isabel P. Almeida, Brent van der Heyden

, Stefan J. van Hoof, Frank Verhaegen

The impact of dual energy CT imaging on dose calculations for pre-clinical studies

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All papers authored by Brent van der Heyden