Comprehensive and clinically accurate head and neck cancer organs-at-risk delineation on a multi-institutional study
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Comprehensive and clinically accurate head and neck cancer organs-at-risk delineation on a multi-institutional study
Authors
Keywords
-
Journal
Nature Communications
Volume 13, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-10-17
DOI
10.1038/s41467-022-33178-z
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Multi-Institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume Using Planning CT and FDG-PET/CT
- (2022) Xianghua Ye et al. Frontiers in Oncology
- Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study
- (2021) Stanislav Nikolov et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Deep learning vs. atlas-based models for fast auto-segmentation of the masticatory muscles on head and neck CT images
- (2020) Wen Chen et al. Radiation Oncology
- Organ at risk delineation for radiation therapy clinical trials: Global Harmonization Group consensus guidelines
- (2020) Romaana Mir et al. RADIOTHERAPY AND ONCOLOGY
- nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
- (2020) Fabian Isensee et al. NATURE METHODS
- Deep Learning for Automated Contouring of Primary Tumor Volumes by MRI for Nasopharyngeal Carcinoma
- (2019) Li Lin et al. RADIOLOGY
- Fatigue following radiation therapy in nasopharyngeal cancer survivors: A dosimetric analysis incorporating patient report and observer rating
- (2019) Mona Kamal et al. RADIOTHERAPY AND ONCOLOGY
- Fully automatic multi-organ segmentation for head and neck cancer radiotherapy using shape representation model constrained fully convolutional neural networks
- (2018) Nuo Tong et al. MEDICAL PHYSICS
- AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy
- (2018) Wentao Zhu et al. MEDICAL PHYSICS
- Evaluation of segmentation methods on head and neck CT: Auto-segmentation challenge 2015
- (2017) Patrik F. Raudaschl et al. MEDICAL PHYSICS
- Segmentation of organs-at-risks in head and neck CT images using convolutional neural networks
- (2017) Bulat Ibragimov et al. MEDICAL PHYSICS
- Multiatlas segmentation of thoracic and abdominal anatomy with level set-based local search
- (2017) Eduard Schreibmann et al. Journal of Applied Clinical Medical Physics
- Nasopharyngeal carcinoma
- (2016) Melvin L K Chua et al. LANCET
- Joint optimization of segmentation and shape prior from level-set-based statistical shape model, and its application to the automated segmentation of abdominal organs
- (2016) Atsushi Saito et al. MEDICAL IMAGE ANALYSIS
- CT-based delineation of organs at risk in the head and neck region: DAHANCA, EORTC, GORTEC, HKNPCSG, NCIC CTG, NCRI, NRG Oncology and TROG consensus guidelines
- (2015) Charlotte L. Brouwer et al. RADIOTHERAPY AND ONCOLOGY
- Randomized Phase III Trial to Test Accelerated Versus Standard Fractionation in Combination With Concurrent Cisplatin for Head and Neck Carcinomas in the Radiation Therapy Oncology Group 0129 Trial: Long-Term Report of Efficacy and Toxicity
- (2014) Phuc Felix Nguyen-Tan et al. JOURNAL OF CLINICAL ONCOLOGY
- Recommendation for a contouring method and atlas of organs at risk in nasopharyngeal carcinoma patients receiving intensity-modulated radiotherapy
- (2014) Ying Sun et al. RADIOTHERAPY AND ONCOLOGY
- Radiotherapy Demand and Activity in England 2006–2020
- (2013) C.E. Round et al. CLINICAL ONCOLOGY
- Fatigue during chemoradiotherapy for nasopharyngeal cancer and its relationship to radiation dose distribution in the brain
- (2013) Ceri Powell et al. RADIOTHERAPY AND ONCOLOGY
- Long-term outcome and toxicity of hypofractionated stereotactic body radiotherapy as a boost treatment for head and neck cancer: the importance of boost volume assessment
- (2012) Dong Lee et al. Radiation Oncology
- Systematic evaluation of three different commercial software solutions for automatic segmentation for adaptive therapy in head-and-neck, prostate and pleural cancer
- (2012) Mariangela La Macchia et al. Radiation Oncology
- Dosimetric explanations of fatigue in head and neck radiotherapy: An analysis from the PARSPORT Phase III trial
- (2012) Sarah L. Gulliford et al. RADIOTHERAPY AND ONCOLOGY
- Parotid-sparing intensity modulated versus conventional radiotherapy in head and neck cancer (PARSPORT): a phase 3 multicentre randomised controlled trial
- (2011) Christopher M Nutting et al. LANCET ONCOLOGY
- Delineation of organs at risk involved in swallowing for radiotherapy treatment planning
- (2011) Miranda E.M.C. Christianen et al. RADIOTHERAPY AND ONCOLOGY
- Cognitive Function Before and After Intensity-Modulated Radiation Therapy in Patients With Nasopharyngeal Carcinoma: A Prospective Study
- (2010) Kuan-Yin Hsiao et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Clinical Validation of Atlas-Based Auto-Segmentation of Multiple Target Volumes and Normal Tissue (Swallowing/Mastication) Structures in the Head and Neck
- (2010) David N. Teguh et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Variations in the Contouring of Organs at Risk: Test Case From a Patient With Oropharyngeal Cancer
- (2010) Benjamin E. Nelms et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
- Factors Associated With Severe Late Toxicity After Concurrent Chemoradiation for Locally Advanced Head and Neck Cancer: An RTOG Analysis
- (2008) Mitchell Machtay et al. JOURNAL OF CLINICAL ONCOLOGY
- Evaluation of an atlas-based automatic segmentation software for the delineation of brain organs at risk in a radiation therapy clinical context
- (2008) Aurélie Isambert et al. RADIOTHERAPY AND ONCOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation