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1
Flattening filter‐free accelerators: a report from the AAPM Therapy Emerging Technology Assessment Work Group
Flattening filter‐free accelerators: a report from the AAPM Therapy Emerging Technology Assessment Work Group
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Flattening filter‐free accelerators: a report from the AAPM Therapy Emerging Technology Assessment Work Group

Xiao, Ying ; Kry, Stephen F. ; Popple, Richard ; Yorke, Ellen ; Papanikolaou, Niko ; Stathakis, Sotirios ; Xia, Ping ; Huq, Saiful ; Bayouth, John ; Galvin, James ; Yin, Fang‐Fang

Journal of applied clinical medical physics, 2015-05, Vol.16 (3), p.12-29 [Periódico revisado por pares]

United States: John Wiley & Sons, Inc

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2
Feasibility of a GATE Monte Carlo platform in a clinical pretreatment QA system for VMAT treatment plans using TrueBeam with an HD120 multileaf collimator
Feasibility of a GATE Monte Carlo platform in a clinical pretreatment QA system for VMAT treatment plans using TrueBeam with an HD120 multileaf collimator
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Feasibility of a GATE Monte Carlo platform in a clinical pretreatment QA system for VMAT treatment plans using TrueBeam with an HD120 multileaf collimator

Lee, Boram ; Jeong, Seonghoon ; Chung, Kwangzoo ; Yoon, Myonggeun ; Park, Hee Chul ; Han, Youngyih ; Jung, Sang Hoon

Journal of applied clinical medical physics, 2019-10, Vol.20 (10), p.101-110 [Periódico revisado por pares]

United States: John Wiley & Sons, Inc

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3
Quality assurance of non-coplanar, volumetric-modulated arc therapy employing a C-arm linear accelerator, featuring continuous patient couch rotation
Quality assurance of non-coplanar, volumetric-modulated arc therapy employing a C-arm linear accelerator, featuring continuous patient couch rotation
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Quality assurance of non-coplanar, volumetric-modulated arc therapy employing a C-arm linear accelerator, featuring continuous patient couch rotation

Hirashima, Hideaki ; Nakamura, Mitsuhiro ; Miyabe, Yuki ; Mukumoto, Nobutaka ; Ono, Tomohiro ; Iramina, Hiraku ; Mizowaki, Takashi

Radiation oncology (London, England), 2019-04, Vol.14 (1), p.62-10, Article 62 [Periódico revisado por pares]

England: BioMed Central Ltd

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4
IMRT and RapidArc commissioning of a TrueBeam linear accelerator using TG‐119 protocol cases
IMRT and RapidArc commissioning of a TrueBeam linear accelerator using TG‐119 protocol cases
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IMRT and RapidArc commissioning of a TrueBeam linear accelerator using TG‐119 protocol cases

Wen, Ning ; Zhao, Bo ; Kim, Jinkoo ; Chin‐Snyder, Karen ; Bellon, Maria ; Glide‐Hurst, Carri ; Barton, Kenneth ; Chen, Daiquan ; Chetty, Indrin J.

Journal of applied clinical medical physics, 2014-09, Vol.15 (5), p.74-88 [Periódico revisado por pares]

United States: John Wiley & Sons, Inc

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5
Dosimetric comparison of MR-linac-based IMRT and conventional VMAT treatment plans for prostate cancer
Dosimetric comparison of MR-linac-based IMRT and conventional VMAT treatment plans for prostate cancer
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Dosimetric comparison of MR-linac-based IMRT and conventional VMAT treatment plans for prostate cancer

Da Silva Mendes, Vanessa ; Nierer, Lukas ; Li, Minglun ; Corradini, Stefanie ; Reiner, Michael ; Kamp, Florian ; Niyazi, Maximilian ; Kurz, Christopher ; Landry, Guillaume ; Belka, Claus

Radiation oncology (London, England), 2021-07, Vol.16 (1), p.133-133, Article 133 [Periódico revisado por pares]

England: BioMed Central

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6
Dosimetric effects of adaptive prostate cancer radiotherapy in an MR-linac workflow
Dosimetric effects of adaptive prostate cancer radiotherapy in an MR-linac workflow
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Dosimetric effects of adaptive prostate cancer radiotherapy in an MR-linac workflow

Mannerberg, Annika ; Persson, Emilia ; Jonsson, Joakim ; Gustafsson, Christian Jamtheim ; Gunnlaugsson, Adalsteinn ; Olsson, Lars E ; Ceberg, Sofie

Radiation oncology (London, England), 2020-07, Vol.15 (1), p.168-9, Article 168 [Periódico revisado por pares]

England: BioMed Central Ltd

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7
DeepBeam: a machine learning framework for tuning the primary electron beam of the PRIMO Monte Carlo software
DeepBeam: a machine learning framework for tuning the primary electron beam of the PRIMO Monte Carlo software
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DeepBeam: a machine learning framework for tuning the primary electron beam of the PRIMO Monte Carlo software

Tabor, Zbisław ; Kabat, Damian ; Waligórski, Michael P R

Radiation oncology (London, England), 2021-06, Vol.16 (1), p.124-124, Article 124 [Periódico revisado por pares]

England: BioMed Central Ltd

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8
Optimising the MR‐Linac as a standard treatment modality
Optimising the MR‐Linac as a standard treatment modality
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Optimising the MR‐Linac as a standard treatment modality

Leon, Jeremy ; Twentyman, Tania ; Carr, Madeline ; Jameson, Michael ; Batumalai, Vikneswary

Journal of medical radiation sciences, 2023-12, Vol.70 (4), p.491-497 [Periódico revisado por pares]

United States: John Wiley & Sons, Inc

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9
Visually guided respiratory motion management for Ethos adaptive radiotherapy
Visually guided respiratory motion management for Ethos adaptive radiotherapy
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Visually guided respiratory motion management for Ethos adaptive radiotherapy

Kim, Taeho ; Ji, Zhen ; Lewis, Benjamin ; Laugeman, Eric ; Price, Alex ; Hao, Yao ; Hugo, Geoffrey ; Knutson, Nels ; Cai, Bin ; Kim, Hyun ; Henke, Lauren

Journal of applied clinical medical physics, 2022-01, Vol.23 (1), p.e13441-n/a [Periódico revisado por pares]

United States: John Wiley & Sons, Inc

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10
Treatment verification using Varian's dynalog files in the Monte Carlo system PRIMO
Treatment verification using Varian's dynalog files in the Monte Carlo system PRIMO
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Treatment verification using Varian's dynalog files in the Monte Carlo system PRIMO

Rodriguez, Miguel ; Brualla, Lorenzo

Radiation oncology (London, England), 2019-04, Vol.14 (1), p.67-67, Article 67 [Periódico revisado por pares]

England: BioMed Central Ltd

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