Roles of Deformable Image Registration in adaptive RT: From Contour propagation to dose monitoring. - Antoine Simon; Mohamed Nassef; Bastien Rigaud; Guillaume Cazoulat; Joël Castelli; Caroline Lafond; Oscar Acosta; Pascal Haigron; Renaud de Crevoisier (EMBC, 2015)

Statistical Shape Model to Generate a Planning Library for Cervical Adaptive Radiotherapy. - Bastien Rigaud; Antoine Simon; Maxime Gobeli; Julie Leseur; Loig Duverge; Danièle Williaume; Joël Castelli; Caroline Lafond; Oscar Acosta; Pascal Haigron; Renaud de Crevoisier (IEEE Trans. Medical Imaging, 2019)

Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinoma. - Pierre Fontaine; Francois-Georges Riet; Joël Castelli; Khemara Gnep; Adrien Depeursinge; Renaud de Crevoisier; Oscar Acosta (EMBC, 2020)

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)

Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer. - Vincent Andrearczyk; Pierre Fontaine; Valentin Oreiller; Joël Castelli; Mario Jreige; John O. Prior; Adrien Depeursinge (PRIME@MICCAI, 2021)

Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT. - Pierre Fontaine; Vincent Andrearczyk; Valentin Oreiller; Joël Castelli; Mario Jreige; John O. Prior; Adrien Depeursinge (ML-CDS@MICCAI, 2021)

Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CT. - Vincent Andrearczyk; Valentin Oreiller; Mario Jreige; Joël Castelli; John O. Prior; Adrien Depeursinge (EMBC, 2022)

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)

Deep Learning-Based Segmentation of Head and Neck Organs-at-Risk with Clinical Partially Labeled Data. - Lucía Cubero; Joël Castelli; Antoine Simon; Renaud de Crevoisier; Oscar Acosta; Javier Pascau (Entropy, 2022)

Exploring Uncertainty for Clinical Acceptability in Head and Neck Deep Learning-Based OAR Segmentation. - Lucía Cubero; J. Serrano; Joël Castelli; Renaud de Crevoisier; Oscar Acosta; Javier Pascau (ISBI, 2023)

New Deep Learning-Based Approach for Dysphagia Assessment from Videofluoroscopy Swallowing Studies. - Lucía Cubero; Christophe Tessier; Joël Castelli; Renaud de Crevoisier; Franck Jégoux; Javier Pascau; Oscar Acosta (ISBI, 2024)

Indirect deformable image registration using synthetic image generated by unsupervised deep learning. - Cédric Hémon; Blanche Texier; Hilda Chourak; Antoine Simon; Igor Bessières; Renaud de Crevoisier; Joël Castelli; Caroline Lafond; Anaïs Barateau; Jean-Claude Nunes (Image Vis. Comput., 2024)

Automated dysphagia characterization in head and neck cancer patients using videofluoroscopic swallowing studies. - Lucía Cubero; Christophe Tessier; Joël Castelli; Kilian Robert; Renaud de Crevoisier; Franck Jégoux; Javier Pascau; Oscar Acosta (Comput. Biol. Medicine, 2025)