Cargando…

Correction to: Planning comparison of five automated treatment planning solutions for locally advanced head and neck cancer

Detalles Bibliográficos
Autores principales:	Krayenbuehl, J., Zamburlini, M., Ghandour, S., Pachoud, M., Tanadini-Lang, S., Tol, J., Guckenberger, M., Verbakel, W. F. A. R.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2018
Materias:	Correction
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245865/ https://www.ncbi.nlm.nih.gov/pubmed/30458819 http://dx.doi.org/10.1186/s13014-018-1176-x

Ejemplares similares

Planning comparison of five automated treatment planning solutions for locally advanced head and neck cancer
por: Krayenbuehl, J., et al.
Publicado: (2018)

Evaluation of an automated knowledge based treatment planning system for head and neck
por: Krayenbuehl, Jerome, et al.
Publicado: (2015)

Head and neck radiotherapy on the MR linac: a multicenter planning challenge amongst MRIdian platform users
por: Chamberlain, Madalyne, et al.
Publicado: (2021)

Treatment plan quality during online adaptive re-planning
por: van Timmeren, Janita E., et al.
Publicado: (2020)

Improved plan quality with automated radiotherapy planning for whole brain with hippocampus sparing: a comparison to the RTOG 0933 trial
por: Krayenbuehl, J., et al.
Publicado: (2017)

Correction to: Improved plan quality with automated radiotherapy planning for whole brain with hippocampus sparing: a comparison to the RTOG 0933 trial
por: Krayenbuehl, J., et al.
Publicado: (2017)

Volumetric‐modulated arc therapy planning using multicriteria optimization for localized prostate cancer
por: Ghandour, Sarah, et al.
Publicado: (2015)

Comparison of beam segment versus full plan re-optimization in daily magnetic resonance imaging-guided online-adaptive radiotherapy
por: van Timmeren, Janita E., et al.
Publicado: (2021)

Evaluation of an Automated Proton Planning Solution
por: Delaney, Alexander R, et al.
Publicado: (2018)

Modelling the immunosuppressive effect of liver SBRT by simulating the dose to circulating lymphocytes: an in-silico planning study
por: Basler, L., et al.
Publicado: (2018)

Combined CT radiomics of primary tumor and metastatic lymph nodes improves prediction of loco-regional control in head and neck cancer
por: Bogowicz, Marta, et al.
Publicado: (2019)

MR-Guided Adaptive Radiotherapy for Head and Neck Cancer: Prospective Evaluation of Migration and Anatomical Changes of the Major Salivary Glands
por: van Timmeren, Janita E., et al.
Publicado: (2021)

Automatic planning of head and neck treatment plans
por: Hazell, Irene, et al.
Publicado: (2016)

Can knowledge-based DVH predictions be used for automated, individualized quality assurance of radiotherapy treatment plans?
por: Tol, Jim P., et al.
Publicado: (2015)

Intrafractional stability of MR-guided online adaptive SBRT for prostate cancer
por: Schaule, J., et al.
Publicado: (2021)

Planned Neck Dissection Following Radiation Treatment for Head and Neck Malignancy
por: Dautremont, J. F., et al.
Publicado: (2012)

Influence of Beam Angle on Normal Tissue Complication Probability of Knowledge-Based Head and Neck Cancer Proton Planning
por: Hytönen, Roni, et al.
Publicado: (2022)

Assessment of PlanIQ Feasibility DVH for head and neck treatment planning
por: Fried, David V., et al.
Publicado: (2017)

Validation of automated complex head and neck treatment planning with pencil beam scanning proton therapy
por: Hedrick, Samantha Grace, et al.
Publicado: (2021)

Automatic interactive optimization for volumetric modulated arc therapy planning
por: Tol, Jim P, et al.
Publicado: (2015)

Ultra-High Dose Rate Transmission Beam Proton Therapy for Conventionally Fractionated Head and Neck Cancer: Treatment Planning and Dose Rate Distributions
por: van Marlen, Patricia, et al.
Publicado: (2021)

Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning
por: Lucido, J. John, et al.
Publicado: (2023)

Automatic treatment planning improves the clinical quality of head and neck cancer treatment plans
por: Hansen, Christian Rønn, et al.
Publicado: (2016)

A plan template‐based automation solution using a commercial treatment planning system
por: Huang, Xiaotian, et al.
Publicado: (2020)

Head and neck surgery global outreach: Ethics, planning, and impact
por: Luginbuhl, Adam, et al.
Publicado: (2021)

PET/CT in Radiotherapy Planning for Head and Neck Cancer
por: Newbold, Katie, et al.
Publicado: (2012)

A hybrid automated treatment planning solution for esophageal cancer
por: Ling, Chifang, et al.
Publicado: (2019)

Feasibility of automated proton therapy plan adaptation for head and neck tumors using cone beam CT images
por: Kurz, Christopher, et al.
Publicado: (2016)

Deep learning auto-segmentation and automated treatment planning for trismus risk reduction in head and neck cancer radiotherapy
por: Thor, Maria, et al.
Publicado: (2021)

RapidPlan head and neck model: the objectives and possible clinical benefit
por: Fogliata, A., et al.
Publicado: (2017)

Treatment planning for Interstitial Photodynamic Therapy for head and neck cancer
por: van Veen, RLP, et al.
Publicado: (2010)

Evaluation of auto‐planning in IMRT and VMAT for head and neck cancer
por: Ouyang, Zi, et al.
Publicado: (2019)

Imaging in Non-neurologic Oncologic Treatment Planning of the Head and Neck
por: Hansen, Katherine S., et al.
Publicado: (2019)

Impact of beam configuration on VMAT plan quality for Pinnacle(3)Auto-Planning for head and neck cases
por: Richter, Anne, et al.
Publicado: (2019)

Knowledge‐based planning for the radiation therapy treatment plan quality assurance for patients with head and neck cancer
por: Cao, Wenhua, et al.
Publicado: (2022)

A two‐step treatment planning strategy incorporating knowledge‐based planning for head‐and‐neck radiotherapy
por: Liu, Han, et al.
Publicado: (2023)

Library planning for automation
por: Kent, A
Publicado: (1965)

Automating checks of plan check automation
por: Halabi, Tarek, et al.
Publicado: (2014)

Synthetic computed tomography for low-field magnetic resonance-only radiotherapy in head-and-neck cancer using residual vision transformers
por: La Greca Saint-Esteven, Agustina, et al.
Publicado: (2023)

Deep Learning for Automated Elective Lymph Node Level Segmentation for Head and Neck Cancer Radiotherapy
por: Strijbis, Victor I. J., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_ir09cks4qp0jl5s71qbfufukqa