Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study

Self-channel-and-spatial-attention neural network for automated multi-organ segmentation on head and neck CT images

(2020) Shuiping Gou et al.   PHYSICS IN MEDICINE AND BIOLOGY

Multi-View Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at Risk in Head and Neck CT Images

(2020) Shujun Liang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Multi-organ segmentation of the head and neck area: an efficient hierarchical neural networks approach

(2019) Elias Tappeiner et al.   International Journal of Computer Assisted Radiology and Surgery

Accurate and rapid CT image segmentation of the eyes and surrounding organs for precise radiotherapy

(2019) Yao Sun et al.   MEDICAL PHYSICS

A Convolutional Neural Network Algorithm for Automatic Segmentation of Head and Neck Organs‐at‐Risk Using Deep Lifelong Learning

(2019) Jason W. Chan et al.   MEDICAL PHYSICS

Deep learning-based delineation of head and neck organs-at-risk: geometric and dosimetric evaluation

(2019) Ward van Rooij et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

AAR-RT – A system for auto-contouring organs at risk on CT images for radiation therapy planning: Principles, design, and large-scale evaluation on head-and-neck and thoracic cancer cases

(2019) Xingyu Wu et al.   MEDICAL IMAGE ANALYSIS

Shape constrained fully convolutional DenseNet with adversarial training for multiorgan segmentation on head and neck CT and low‐field MR images

(2019) Nuo Tong et al.   MEDICAL PHYSICS

Use of Crowd Innovation to Develop an Artificial Intelligence–Based Solution for Radiation Therapy Targeting

(2019) Raymond H. Mak et al.   JAMA Oncology

Rapid advances in auto-segmentation of organs at risk and target volumes in head and neck cancer

(2019) M. Kosmin et al.   RADIOTHERAPY AND ONCOLOGY

Boosting‐based Cascaded Convolutional Neural Networks for the Segmentation of CT Organs‐at‐risk in Nasopharyngeal Carcinoma

(2019) Tao Zhong et al.   MEDICAL PHYSICS

Automatic detection of contouring errors using convolutional neural networks

(2019) Dong Joo Rhee et al.   MEDICAL PHYSICS

Dynamic multiatlas selection‐based consensus segmentation of head and neck structures from CT images

(2019) Rabia Haq et al.   MEDICAL PHYSICS

Improving automatic delineation for head and neck organs at risk by Deep Learning Contouring

(2019) Lisanne V. van Dijk et al.   RADIOTHERAPY AND ONCOLOGY

Head and Neck CT Atlases Alignment Based on Anatomical Priors Constraint

(2019) Zhensong Wang et al.   Journal of Medical Imaging and Health Informatics

Comparing deep learning-based auto-segmentation of organs at risk and clinical target volumes to expert inter-observer variability in radiotherapy planning

(2019) Jordan Wong et al.   RADIOTHERAPY AND ONCOLOGY

Hierarchical Vertex Regression-Based Segmentation of Head and Neck CT Images for Radiotherapy Planning

(2018) Zhensong Wang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Interleaved 3D-CNNs for joint segmentation of small-volume structures in head and neck CT images

(2018) Xuhua Ren et al.   MEDICAL PHYSICS

Segmentation of parotid glands from registered CT and MR images

(2018) Domen Močnik et al.   Physica Medica-European Journal of Medical Physics

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

Clinically applicable deep learning for diagnosis and referral in retinal disease

(2018) Jeffrey De Fauw et al.   NATURE MEDICINE

Deep-learning-based detection and segmentation of organs at risk in nasopharyngeal carcinoma computed tomographic images for radiotherapy planning

(2018) Shujun Liang et al.   EUROPEAN RADIOLOGY

Technical Note: More accurate and efficient segmentation of organs‐at‐risk in radiotherapy with convolutional neural networks cascades

(2018) Kuo Men 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

Contour-Driven Atlas-Based Segmentation

(2015) Christian Wachinger et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Institutional Clinical Trial Accrual Volume and Survival of Patients With Head and Neck Cancer

(2015) Evan J. Wuthrick et al.   JOURNAL OF CLINICAL ONCOLOGY

Validation of clinical acceptability of an atlas-based segmentation algorithm for the delineation of organs at risk in head and neck cancer

(2015) Albert K. Hoang Duc et al.   MEDICAL PHYSICS

Multi-subject atlas-based auto-segmentation reduces interobserver variation and improves dosimetric parameter consistency for organs at risk in nasopharyngeal carcinoma: A multi-institution clinical study

(2015) Chang-Juan Tao et al.   RADIOTHERAPY AND ONCOLOGY

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

Automatic segmentation of head and neck CT images for radiotherapy treatment planning using multiple atlases, statistical appearance models, and geodesic active contours

(2014) Karl D. Fritscher et al.   MEDICAL PHYSICS

Toward adaptive radiotherapy for head and neck patients: Feasibility study on using CT-to-CBCT deformable registration for “dose of the day” calculations

(2014) Catarina Veiga et al.   MEDICAL PHYSICS

Vision 20/20: Perspectives on automated image segmentation for radiotherapy

(2014) Gregory Sharp et al.   MEDICAL PHYSICS

Evaluation of an automatic segmentation algorithm for definition of head and neck organs at risk

(2014) David Thomson et al.   Radiation Oncology

Prospective randomized double-blind study of atlas-based organ-at-risk autosegmentation-assisted radiation planning in head and neck cancer

(2014) Gary V. Walker et al.   RADIOTHERAPY AND ONCOLOGY

Radiotherapy Demand and Activity in England 2006–2020

(2013) C.E. Round et al.   CLINICAL ONCOLOGY

Multi-institutional Quantitative Evaluation and Clinical Validation of Smart Probabilistic Image Contouring Engine (SPICE) Autosegmentation of Target Structures and Normal Tissues on Computer Tomography Images in the Head and Neck, Thorax, Liver, and Male Pelvis Areas

(2013) Mingyao Zhu et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

(2013) Kenneth Clark et al.   JOURNAL OF DIGITAL IMAGING

Tissue segmentation of head and neck CT images for treatment planning: A multiatlas approach combined with intensity modeling

(2013) Valerio Fortunati et al.   MEDICAL PHYSICS

Atlas-based automatic segmentation of head and neck organs at risk and nodal target volumes: a clinical validation

(2013) Jean-François Daisne 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

A multi-institution evaluation of deformable image registration algorithms for automatic organ delineation in adaptive head and neck radiotherapy

(2012) Nicholas Hardcastle et al.   Radiation Oncology

16. The fraction of cancer attributable to lifestyle and environmental factors in the UK in 2010

(2011) D M Parkin et al.   BRITISH JOURNAL OF CANCER

Global cancer statistics

(2011) Ahmedin Jemal et al.   CA-A CANCER JOURNAL FOR CLINICIANS

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

Auto-segmentation of normal and target structures in head and neck CT images: A feature-driven model-based approach

(2011) Arish A. Qazi et al.   MEDICAL PHYSICS

Does atlas-based autosegmentation of neck levels require subsequent manual contour editing to avoid risk of severe target underdosage? A dosimetric analysis

(2011) Peter W.J. Voet et al.   RADIOTHERAPY AND ONCOLOGY

Emphasizing Conformal Avoidance Versus Target Definition for IMRT Planning in Head-and-Neck Cancer

(2010) Paul M. Harari 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

Dysphagia After Chemoradiotherapy for Head-and-Neck Squamous Cell Carcinoma: Dose–Effect Relationships for the Swallowing Structures

(2009) Piet Dirix et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Dosimetric Factors Associated With Long-Term Dysphagia After Definitive Radiotherapy for Squamous Cell Carcinoma of the Head and Neck

(2009) Jimmy J. Caudell et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

A pre-clinical assessment of an atlas-based automatic segmentation tool for the head and neck

(2009) Richard Sims et al.   RADIOTHERAPY AND ONCOLOGY

Atlas-based Auto-segmentation of CT Images in Head and Neck Cancer: What is the Best Approach?

(2008) M.S. Hoogeman et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

The relationship between waiting time for radiotherapy and clinical outcomes: A systematic review of the literature

(2007) Zheng Chen et al.   RADIOTHERAPY AND ONCOLOGY