3D PET-driven multi-phase segmentation of meningiomas in MRI. - Hélène Urien; Irène Buvat; Nicolas Rougon; Sarah Boughdad; Isabelle Bloch (ISBI, 2016)

Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT. - Vincent Andrearczyk; Valentin Oreiller; Mario Jreige; Martin Vallières; Joël Castelli; Hesham Elhalawani; Sarah Boughdad; John O. Prior; Adrien Depeursinge (HECKTOR@MICCAI, 2020)

Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans. - Vincent Andrearczyk; Valentin Oreiller; Martin Vallières; Joël Castelli; Hesham Elhalawani; Mario Jreige; Sarah Boughdad; John O. Prior; Adrien Depeursinge (MIDL, 2020)

Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images. - Vincent Andrearczyk; Valentin Oreiller; Sarah Boughdad; Catherine Cheze Le Rest; Hesham Elhalawani; Mario Jreige; John O. Prior; Martin Vallières; Dimitris Visvikis; Mathieu Hatt; Adrien Depeursinge (HECKTOR@MICCAI, 2021)

Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. - Vincent Andrearczyk; Valentin Oreiller; Moamen Abobakr; Azadeh Akhavanallaf; Panagiotis Balermpas; Sarah Boughdad; Leo Capriotti; Joël Castelli; Catherine Cheze Le Rest; Pierre Decazes; Ricardo Correia 006; Dina El-Habashy; et al. (HECKTOR@MICCAI, 2022)

Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. - Valentin Oreiller; Vincent Andrearczyk; Mario Jreige; Sarah Boughdad; Hesham Elhalawani; Joël Castelli; Martin Vallières; Simeng Zhu; Juanying Xie; Ying Peng; Andrei Iantsen; Mathieu Hatt; et al. (Medical Image Anal., 2022)

Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge. - Vincent Andrearczyk; Valentin Oreiller; Sarah Boughdad; Catherine Cheze Le Rest; Olena Tankyevych; Hesham Elhalawani; Mario Jreige; John O. Prior; Martin Vallières; Dimitris Visvikis; Mathieu Hatt; Adrien Depeursinge (Medical Image Anal., 2023)