Head and neck tumor segmentation in PET/CT: The HECKTOR challenge

A comparison of methods for fully automatic segmentation of tumors and involved nodes in PET/CT of head and neck cancers

(2021) Aurora Rosvoll Groendahl et al.   PHYSICS IN MEDICINE AND BIOLOGY

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

Multimodal Spatial Attention Module for Targeting Multimodal PET-CT Lung Tumor Segmentation

(2021) Xiaohang Fu et al.   IEEE Journal of Biomedical and Health Informatics

Tumor Segmentation and Feature Extraction from Whole-Body FDG-PET/CT Using Cascaded 2D and 3D Convolutional Neural Networks

(2020) Skander Jemaa et al.   JOURNAL OF DIGITAL IMAGING

Evaluation of the Prognostic Value of FDG PET/CT Parameters for Patients With Surgically Treated Head and Neck Cancer

(2020) Gwenaelle Creff et al.   JAMA Otolaryngology-Head & Neck Surgery

BIAS: Transparent reporting of biomedical image analysis challenges

(2020) Lena Maier-Hein et al.   MEDICAL IMAGE ANALYSIS

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge

(2020) Nicholas Heller et al.   MEDICAL IMAGE ANALYSIS

Gross tumor volume segmentation for head and neck cancer radiotherapy using deep dense multi-modality network

(2019) Zhe Guo et al.   PHYSICS IN MEDICINE AND BIOLOGY

NiftyNet: a deep-learning platform for medical imaging

(2018) Eli Gibson et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

The first MICCAI challenge on PET tumor segmentation

(2018) Mathieu Hatt et al.   MEDICAL IMAGE ANALYSIS

Automatic lesion detection and segmentation of 18F-FET PET in gliomas: A full 3D U-Net convolutional neural network study

(2018) Paul Blanc-Durand et al.   PLoS One

Fully Automated Delineation of Gross Tumor Volume for Head and Neck Cancer on PET-CT Using Deep Learning: A Dual-Center Study

(2018) Bin Huang et al.   Contrast Media & Molecular Imaging

Why rankings of biomedical image analysis competitions should be interpreted with care

(2018) Lena Maier-Hein et al.   Nature Communications

Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211

(2017) Mathieu Hatt et al.   MEDICAL PHYSICS

Radiomics: the bridge between medical imaging and personalized medicine

(2017) Philippe Lambin et al.   Nature Reviews Clinical Oncology

Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer

(2017) Martin Vallières et al.   Scientific Reports

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

(2015) Bjoern H. Menze et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

SPEQTACLE: An automated generalized fuzzy C-means algorithm for tumor delineation in PET

(2015) Jérôme Lapuyade-Lahorgue et al.   MEDICAL PHYSICS

A review on segmentation of positron emission tomography images

(2014) Brent Foster et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Optimal Co-Segmentation of Tumor in PET-CT Images With Context Information

(2013) Qi Song et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Salivary gland-sparing other than parotid-sparing in definitive head-and-neck intensity-modulated radiotherapy does not seem to jeopardize local control

(2013) Enrique Chajon et al.   Radiation Oncology

A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET

(2009) M. Hatt et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Automated Radiation Targeting in Head-and-Neck Cancer Using Region-Based Texture Analysis of PET and CT Images

(2009) Huan Yu et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

From RECIST to PERCIST: Evolving Considerations for PET Response Criteria in Solid Tumors

(2009) R. L. Wahl et al.   JOURNAL OF NUCLEAR MEDICINE

Radiotherapy plus cetuximab for locoregionally advanced head and neck cancer: 5-year survival data from a phase 3 randomised trial, and relation between cetuximab-induced rash and survival

(2009) James A Bonner et al.   LANCET ONCOLOGY