Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT
Year: 2023
Type: conference-paper
Authors: Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joel Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca, Abdallah Mohamed, Mohamed Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge
Institutions: HES-SO University of Applied Sciences and Arts Western Switzerland, HES-SO Valais-Wallis, Centre Hospitalier Universitaire Vaudois, The University of Texas MD Anderson Cancer Center, University Hospital of Geneva, University Hospital Zurich, Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes, Centre Henri Becquerel, Université de Rouen Normandie, Inserm, Laboratoire Traitement du Signal et de l'Image, Centre Eugène Marquis, Université Rennes 1, Université de Rennes, Centre Hospitalier Universitaire de Poitiers, Laboratoire de Traitement de l'Information Médicale, Cleveland Clinic, Université de Sherbrooke
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: The future of radiomics: understanding, Validating and Increasing the Specificity of Imaging Biomarkers for personaLizEd medicine (VISIBLE), G111615301, G1607744604, Molecular and functional analysis of the nucleolus in 3D genome organization during early embryo development, G7884661002, Cancer Center Support Grant
OpenAlex ID: W4327770221