David C. Hansen

发表

[OA127] Cone-beam CT intensity correction for adaptive radiotherapy of the prostate using deep learning

Christopher Kurz, Katia Parodi, Claus Belka, 2018 .

A Gadgetron based hyperpolarised 13C analysis module for multi-vendor clinical translation

Christoffer Laustsen, Steffen Ringgaard, Hans Stødkilde-Jørgensen, 2015 .

Fast 4D cone-beam CT from 60 s acquisitions

Thomas Sangild Sørensen, David C. Hansen, T. Sørensen, 2018, Physics and imaging in radiation oncology.

Corrigendum: Comparing Unet training with three different datasets to correct CBCT images for prostate radiotherapy dose calculations (2019 Phys. Med. Biol. 64 035011)

Christopher Kurz, Katia Parodi, Florian Kamp, 2019, Physics in Medicine & Biology.

Inter-centre variability of CT-based stopping-power prediction in particle therapy: Survey-based evaluation

Christian Richter, Silvia Molinelli, Patrick Wohlfahrt, 2018, Physics and imaging in radiation oncology.

SHIELD-HIT12A - a Monte Carlo particle transport program for ion therapy research

Armin Lühr, Niels Bassler, David C. Hansen, 2014 .

ISMRM Raw data format: A proposed standard for MRI raw datasets

David Atkinson, Hui Xue, Peter Kellman, 2017, Magnetic resonance in medicine.

Comparison of projection- and image-based methods for proton stopping power estimation using dual energy CT

Simon Rit, Ludvig Paul Muren, Gloria Vilches-Freixas, 2017 .

The image quality of ion computed tomography at clinical imaging dose levels.

Joao Seco, Niels Bassler, Thomas Sangild Sørensen, 2014, Medical physics.

Evaluation of proton and photon dose distributions recalculated on 2D and 3D Unet-generated pseudoCTs from T1-weighted MR head scans

Christopher Kurz, Katia Parodi, Claus Belka, 2019, Acta oncologica.