Joël Castelli

According to our database, Joël Castelli authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

New Deep Learning-Based Approach for Dysphagia Assessment from Videofluoroscopy Swallowing Studies.

Lucía Cubero, C. Tessier, Joël Castelli, Renaud de Crevoisier, F. Jégoux, J. Pascau, Oscar Acosta

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

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

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

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, November, 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, Yading Yuan, Jun Ma, Xiaoping Yang, Chinmay Rao, Suraj Pai, Kanchan Ghimire, Xue Feng, Mohamed A. Naser, Clifton D. Fuller, Fereshteh Yousefirizi, Arman Rahmim, Huai Chen, Lisheng Wang, John O. Prior, Adrien Depeursinge

Medical Image Anal., 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, Dina El-Habashy, Hesham Elhalawani, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca Saint-Esteven, Abdallah Sherif Radwan Mohamed, Mohamed A. Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem A. Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

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

Proceedings of the Multimodal Learning for Clinical Decision Support, 2021

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

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021

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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 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

Proceedings of the Head and Neck Tumor Segmentation - First Challenge, 2020

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

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

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

2015

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

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015