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David C Hansen

Showing results (11-20 of 21) with videos related to

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Physics in Medicine and Biology|July 31, 2012
The impact of modeling nuclear fragmentation on delivered dose and radiobiology in ion therapyArmin Lühr, David C Hansen, Ricky Teiwes, et al.
Medical Physics|May 11, 2019
Erratum: "ScatterNet: A convolutional neural network for cone-beam CT intensity correction" [Med. Phys. 45, 4916-4926 (2018)]David C Hansen, Guillaume Landry, Florian Kamp, et al.
Medical Physics|September 11, 2018
ScatterNet: A convolutional neural network for cone-beam CT intensity correctionDavid C Hansen, Guillaume Landry, Florian Kamp, et al.
Medical Physics|October 27, 2016
A robust empirical parametrization of proton stopping power using dual energy CTVicki T Taasti, Jørgen B B Petersen, Ludvig P Muren, et al.
Acta Oncologica (Stockholm, Sweden)|July 30, 2015
A simulation study on proton computed tomography (CT) stopping power accuracy using dual energy CT scans as benchmarkDavid C Hansen, Joao Seco, Thomas Sangild Sørensen, et al.
Acta Oncologica (Stockholm, Sweden)|July 5, 2019
Evaluation of proton and photon dose distributions recalculated on 2D and 3D Unet-generated pseudoCTs from T1-weighted MR head scansSebastian Neppl, Guillaume Landry, Christopher Kurz, et al.
Medical Physics|September 8, 2018
Theoretical and experimental analysis of photon counting detector CT for proton stopping power predictionVicki T Taasti, David C Hansen, Gregory J Michalak, et al.
Acta Oncologica (Stockholm, Sweden)|September 6, 2013
Voxelwise comparison of perfusion parameters estimated using dynamic contrast enhanced (DCE) computed tomography and DCE-magnetic resonance imaging in locally advanced cervical cancerJesper Kallehauge, Thomas Nielsen, Søren Haack, et al.
Physics in Medicine and Biology|October 24, 2017
Validation of proton stopping power ratio estimation based on dual energy CT using fresh tissue samplesVicki T Taasti, Gregory J Michalak, David C Hansen, et al.
Magnetic Resonance in Medicine|January 30, 2016
ISMRM Raw data format: A proposed standard for MRI raw datasetsSouheil J Inati, Joseph D Naegele, Nicholas R Zwart, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
Physics in Medicine and Biology|July 31, 2012
The impact of modeling nuclear fragmentation on delivered dose and radiobiology in ion therapyArmin Lühr, David C Hansen, Ricky Teiwes, et al.
Medical Physics|May 11, 2019
Erratum: "ScatterNet: A convolutional neural network for cone-beam CT intensity correction" [Med. Phys. 45, 4916-4926 (2018)]David C Hansen, Guillaume Landry, Florian Kamp, et al.
Medical Physics|September 11, 2018
ScatterNet: A convolutional neural network for cone-beam CT intensity correctionDavid C Hansen, Guillaume Landry, Florian Kamp, et al.
Medical Physics|October 27, 2016
A robust empirical parametrization of proton stopping power using dual energy CTVicki T Taasti, Jørgen B B Petersen, Ludvig P Muren, et al.
Acta Oncologica (Stockholm, Sweden)|July 30, 2015
A simulation study on proton computed tomography (CT) stopping power accuracy using dual energy CT scans as benchmarkDavid C Hansen, Joao Seco, Thomas Sangild Sørensen, et al.
Acta Oncologica (Stockholm, Sweden)|July 5, 2019
Evaluation of proton and photon dose distributions recalculated on 2D and 3D Unet-generated pseudoCTs from T1-weighted MR head scansSebastian Neppl, Guillaume Landry, Christopher Kurz, et al.
Medical Physics|September 8, 2018
Theoretical and experimental analysis of photon counting detector CT for proton stopping power predictionVicki T Taasti, David C Hansen, Gregory J Michalak, et al.
Acta Oncologica (Stockholm, Sweden)|September 6, 2013
Voxelwise comparison of perfusion parameters estimated using dynamic contrast enhanced (DCE) computed tomography and DCE-magnetic resonance imaging in locally advanced cervical cancerJesper Kallehauge, Thomas Nielsen, Søren Haack, et al.
Physics in Medicine and Biology|October 24, 2017
Validation of proton stopping power ratio estimation based on dual energy CT using fresh tissue samplesVicki T Taasti, Gregory J Michalak, David C Hansen, et al.
Magnetic Resonance in Medicine|January 30, 2016
ISMRM Raw data format: A proposed standard for MRI raw datasetsSouheil J Inati, Joseph D Naegele, Nicholas R Zwart, et al.
Pageof 3