Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Joel Castelli"'
Autor:
Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Daniel Abler, Joel Castelli, Oscar Acosta, Renaud De Crevoisier, Martin Vallières, Mario Jreige, John O. Prior, Adrien Depeursinge
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 33, Iss , Pp 153-158 (2022)
A vast majority of studies in the radiomics field are based on contours originating from radiotherapy planning. This kind of delineation (e.g. Gross Tumor Volume, GTV) is often larger than the true tumoral volume, sometimes including parts of other o
Externí odkaz:
https://doaj.org/article/9725dd9e1fed425185c7e9ed0ca0aa43
Autor:
Flora Goupy, Stéphane Supiot, David Pasquier, Igor Latorzeff, Ulrike Schick, Erik Monpetit, Geoffrey Martinage, Chloé Hervé, Bernadette Le Proust, Joel Castelli, Renaud de Crevoisier
Publikováno v:
PLoS ONE, Vol 14, Iss 1, p e0210514 (2019)
OBJECTIVES:No study has reported clinical results of external-beam radiotherapy specifically for T3b prostate cancer. The possibility of escalating the dose to the involved seminal vesicles (ISV) while respecting the dose constraints in the organs at
Externí odkaz:
https://doaj.org/article/513c72145bb14f4f86bd16f88a649dba
Autor:
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
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031274190
Head and Neck Tumor Segmentation and Outcome Prediction-Third Challenge
Head and Neck Tumor Segmentation and Outcome Prediction-Third Challenge, Sep 2022, Singapore, Singapore. pp.1-30, ⟨10.1007/978-3-031-27420-6_1⟩
Head and Neck Tumor Segmentation and Outcome Prediction-Third Challenge
Head and Neck Tumor Segmentation and Outcome Prediction-Third Challenge, Sep 2022, Singapore, Singapore. pp.1-30, ⟨10.1007/978-3-031-27420-6_1⟩
International audience; This paper presents an overview of the third edition of the HEad and neCK TumOR segmentation and outcome prediction (HECKTOR) challenge, organized as a satellite event of the 25th International Conference on Medical Image Comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d79b573a15e947eb66bc272f918db2a0
https://doi.org/10.1007/978-3-031-27420-6_1
https://doi.org/10.1007/978-3-031-27420-6_1
Autor:
Vincent, Andrearczyk, Valentin, Oreiller, Mario, Jreige, Joel, Castelli, John O, Prior, Adrien, Depeursinge
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
The prediction of cancer characteristics, treatment planning and patient outcome from medical images generally requires tumor delineation. In Head and Neck cancer (HN), the automatic segmentation and differentiation of primary Gross Tumor Volumes (GT
Autor:
Gwenaelle Creff, Franck Jegoux, Xavier Palard, Adrien Depeursinge, Ronan Abgral, Remi Marianowski, Jean-Christophe Leclere, Thomas Eugene, Olivier Malard, Renaud De Crevoisier, Anne Devillers, Joel Castelli
Publikováno v:
Journal of Nuclear Medicine
Journal of Nuclear Medicine, 2022, 63 (9), pp.1378-1385. ⟨10.2967/jnumed.121.262891⟩
J Nucl Med
Journal of Nuclear Medicine, 2022, 63 (9), pp.1378-1385. ⟨10.2967/jnumed.121.262891⟩
J Nucl Med
International audience; The aims of this multicenter study were to identify clinical and preop-erative PET/CT parameters predicting overall survival (OS) and distant metastasis???free survival (DMFS) in a cohort of head and neck squa-mous cell carcin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::427dc6995bb92f8e048f4216198d8591
https://doi.org/10.2967/jnumed.121.262891
https://doi.org/10.2967/jnumed.121.262891
Autor:
Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, Sarah Boughdad, Hesham Elhalawani, Joel 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
Publikováno v:
Medical Image Analysis
Medical Image Analysis, 2022, 77, pp.102336. ⟨10.1016/j.media.2021.102336⟩
Medical Image Analysis, 77:102336. Elsevier
Medical Image Analysis, 2022, 77, pp.102336. ⟨10.1016/j.media.2021.102336⟩
Medical Image Analysis, 77:102336. Elsevier
International audience; This paper relates the post-analysis of the first edition of the HEad and neCK TumOR (HECKTOR) challenge. This challenge was held as a satellite event of the 23rd International Conference on Medical Image Computing and Compute
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e3c6b259091e9a9af77939ba8e5a775
https://hal.science/hal-03711820/file/Oreiller_2022_head_neck_tumor.pdf
https://hal.science/hal-03711820/file/Oreiller_2022_head_neck_tumor.pdf
Autor:
Manon Baty, Joel Castelli, Khemara Gnep, Nolwenn Delaby, Romain Mathieu, Renaud de Crevoisier
Publikováno v:
Journal of Clinical Oncology. 41:365-365
365 Background: The aim of this study was to report the efficacy and toxicity of salvage stereotactic body radiation therapy (SBRT) for local prostate cancer recurrence after radiotherapy. Methods: We retrospectively reviewed a total of 108 medical r
Autor:
Blanche Texier, Cédric Hémon, Adélie Queffélec, Jason Dowling, Igor Bessieres, Peter Greer, Oscar Acosta, Adrien Boue-Rafle, Renaud de Crevoisier, Caroline Lafond, Joël Castelli, Anaïs Barateau, Jean-Claude Nunes
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 31, Iss , Pp 100612- (2024)
Background and purpose: Magnetic resonance imaging (MRI)-to-computed tomography (CT) synthesis is essential in MRI-only radiotherapy workflows, particularly through deep learning techniques known for their accuracy. However, current supervised method
Externí odkaz:
https://doaj.org/article/2df01f73d36c41818e47ef3d0b41267e
Autor:
Blanche Texier, Cédric Hémon, Pauline Lekieffre, Emma Collot, Safaa Tahri, Hilda Chourak, Jason Dowling, Peter Greer, Igor Bessieres, Oscar Acosta, Adrien Boue-Rafle, Jennifer Le Guevelou, Renaud de Crevoisier, Caroline Lafond, Joël Castelli, Anaïs Barateau, Jean-Claude Nunes
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 28, Iss , Pp 100511- (2023)
Background and Purpose: Addressing the need for accurate dose calculation in MRI-only radiotherapy, the generation of synthetic Computed Tomography (sCT) from MRI has emerged. Deep learning (DL) techniques, have shown promising results in achieving h
Externí odkaz:
https://doaj.org/article/93f14f1c64e24cf186ea07d7a70d3cb3
Autor:
Yasmine El Houat, MD, Christophe Massard, MD, PhD, Veronique Quillien, MD, Renaud de Crevoisier, MD, PhD, Joël Castelli, MD, PhD
Publikováno v:
Advances in Radiation Oncology, Vol 8, Iss 2, Pp 101038- (2023)
Purpose: Immune system modulation, with the use of immune checkpoint inhibitors, has drastically changed the field of oncology. Strong preclinical data indicate that radiation therapy (RT) may enhance the response rate to such drugs via in situ vacci
Externí odkaz:
https://doaj.org/article/7b1bbf39bd104ae8bfb2e4467affc878