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ORCIDJoël Castelli
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2020 – today
- 2024
[j4]Cédric Hémon, Blanche Texier, Hilda Chourak, Antoine Simon, Igor Bessières, Renaud de Crevoisier, Joël Castelli, Caroline Lafond, Anaïs Barateau, Jean-Claude Nunes
:
Indirect deformable image registration using synthetic image generated by unsupervised deep learning. Image Vis. Comput. 148: 105143 (2024)- [c10]Lucía Cubero, C. Tessier, Joël Castelli, Renaud de Crevoisier, F. Jégoux, J. Pascau, Oscar Acosta:
New Deep Learning-Based Approach for Dysphagia Assessment from Videofluoroscopy Swallowing Studies. ISBI 2024: 1-4 - 2023
- [c9]Lucía Cubero, J. Serrano, Joël Castelli, Renaud de Crevoisier, Oscar Acosta, Javier Pascau:
Exploring Uncertainty for Clinical Acceptability in Head and Neck Deep Learning-Based OAR Segmentation. ISBI 2023: 1-4 - 2022
- [j3]Lucía Cubero, Joël Castelli, Antoine Simon, Renaud de Crevoisier, Oscar Acosta, Javier Pascau:
Deep Learning-Based Segmentation of Head and Neck Organs-at-Risk with Clinical Partially Labeled Data. Entropy 24(11): 1661 (2022) - [j2]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:
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. Medical Image Anal. 77: 102336 (2022) - [c8]Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Joël Castelli, John O. Prior, Adrien Depeursinge:
Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CT. EMBC 2022: 4731-4735 - [c7]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:
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. HECKTOR@MICCAI 2022: 1-30 - 2021
- [c6]Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Joël Castelli, Mario Jreige, John O. Prior, Adrien Depeursinge:
Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT. ML-CDS@MICCAI 2021: 59-68 - [c5]Vincent Andrearczyk, Pierre Fontaine, Valentin Oreiller, Joël Castelli, Mario Jreige, John O. Prior, Adrien Depeursinge:
Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer. PRIME@MICCAI 2021: 147-156 - 2020
- [c4]Pierre Fontaine, Francois-Georges Riet, Joël Castelli, Khemara Gnep, Adrien Depeursinge, Renaud de Crevoisier, Oscar Acosta:
Comparison of feature selection in radiomics for the prediction of overall survival after radiotherapy for hepatocellular carcinoma. EMBC 2020: 1667-1670 - [c3]Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Martin Vallières, Joël Castelli, Hesham Elhalawani, Sarah Boughdad, John O. Prior, Adrien Depeursinge:
Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT. HECKTOR@MICCAI 2020: 1-21 - [c2]Vincent Andrearczyk, Valentin Oreiller, Martin Vallières, Joël Castelli, Hesham Elhalawani, Mario Jreige, Sarah Boughdad, John O. Prior, Adrien Depeursinge:
Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans. MIDL 2020: 33-43
2010 – 2019
- 2019
- [j1]Bastien Rigaud, Antoine Simon, Maxime Gobeli, Julie Leseur, Loig Duverge, Danièle Williaume, Joël Castelli, Caroline Lafond, Oscar Acosta, Pascal Haigron, Renaud de Crevoisier:
Statistical Shape Model to Generate a Planning Library for Cervical Adaptive Radiotherapy. IEEE Trans. Medical Imaging 38(2): 406-416 (2019) - 2015
- [c1]Antoine Simon, Mohamed Nassef, Bastien Rigaud, Guillaume Cazoulat, Joël Castelli, Caroline Lafond, Oscar Acosta, Pascal Haigron, Renaud de Crevoisier:
Roles of Deformable Image Registration in adaptive RT: From Contour propagation to dose monitoring. EMBC 2015: 5215-5218
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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