Cascaded deep learning‐based auto‐segmentation for head and neck cancer patients: Organs at risk on T2‐weighted magnetic resonance imaging

SciPy 1.0: fundamental algorithms for scientific computing in Python

(2020) Pauli Virtanen et al.   NATURE METHODS

Head and neck cancer patient images for determining auto‐segmentation accuracy in T2‐weighted magnetic resonance imaging through expert manual segmentations

(2020) Carlos E. Cardenas et al.   MEDICAL PHYSICS

TIME ANALYSIS OF ONLINE ADAPTIVE MAGNETIC RESONANCE GUIDED RADIOTHERAPY WORKFLOW ACCORDING TO ANATOMICAL SITES

(2020) Görkem Güngör et al.   Practical Radiation Oncology

The MOMENTUM Study: An International Registry for the Evidence-Based Introduction of MR-Guided Adaptive Therapy

(2020) Sophie R. de Mol van Otterloo et al.   Frontiers in Oncology

Cross‐modality deep learning: Contouring of MRI data from annotated CT data only

(2020) Jennifer P. Kieselmann et al.   MEDICAL PHYSICS

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

Quantifying the dosimetric impact of organ-at-risk delineation variability in head and neck radiation therapy in the context of patient setup uncertainty

(2019) Eric Aliotta et al.   PHYSICS IN MEDICINE AND BIOLOGY

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

Convolutional neural network-based segmentation can help in assessing the substantia nigra in neuromelanin MRI

(2019) Alice Le Berre et al.   NEURORADIOLOGY

Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation

(2018) Holger R. Roth et al.   MEDICAL IMAGE ANALYSIS

Segmentation of parotid glands from registered CT and MR images

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

Deep Learning Renal Segmentation for Fully Automated Radiation Dose Estimation in Unsealed Source Therapy

(2018) Price Jackson et al.   Frontiers in Oncology

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

(2018) Freddie Bray et al.   CA-A CANCER JOURNAL FOR CLINICIANS

AnatomyNet: Deep learning for fast and fully automated whole-volume segmentation of head and neck anatomy

(2018) Wentao Zhu 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

The feasibility of atlas-based automatic segmentation of MRI for H&N radiotherapy planning

(2016) Kieran Wardman et al.   Journal of Applied Clinical Medical Physics

Comparison of onboard low-field magnetic resonance imaging versus onboard computed tomography for anatomy visualization in radiotherapy

(2015) Camille E. Noel et al.   ACTA ONCOLOGICA

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

Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool

(2015) Abdel Aziz Taha et al.   BMC MEDICAL IMAGING

Automated Segmentation of the Parotid Gland Based on Atlas Registration and Machine Learning: A Longitudinal MRI Study in Head-and-Neck Radiation Therapy

(2014) Xiaofeng Yang et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY 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

The ViewRay System: Magnetic Resonance–Guided and Controlled Radiotherapy

(2014) Sasa Mutic et al.   SEMINARS IN RADIATION ONCOLOGY

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

Delineation of the neck node levels for head and neck tumors: A 2013 update. DAHANCA, EORTC, HKNPCSG, NCIC CTG, NCRI, RTOG, TROG consensus guidelines

(2013) Vincent Grégoire et al.   RADIOTHERAPY AND ONCOLOGY

The Design of SimpleITK

(2013) Bradley C. Lowekamp et al.   Frontiers in Neuroinformatics

3D Variation in delineation of head and neck organs at risk

(2012) Charlotte L Brouwer et al.   Radiation Oncology

Heterogeneity in head and neck IMRT target design and clinical practice

(2012) Theodore S. Hong 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

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

N4ITK: Improved N3 Bias Correction

(2010) Nicholas J Tustison et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Evaluation of Automatic Atlas-Based Lymph Node Segmentation for Head-and-Neck Cancer

(2010) Liza J. Stapleford 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

Critical Impact of Radiotherapy Protocol Compliance and Quality in the Treatment of Advanced Head and Neck Cancer: Results From TROG 02.02

(2010) Lester J. Peters et al.   JOURNAL OF CLINICAL ONCOLOGY

Segmentation of Head and Neck Lymph Node Regions for Radiotherapy Planning Using Active Contour-Based Atlas Registration

(2009) Subrahmanyam Gorthi et al.   IEEE Journal of Selected Topics in Signal Processing

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

(2009) Richard Sims et al.   RADIOTHERAPY AND ONCOLOGY