Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Jean-Claude Nunes"'
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:
Safaa Tahri, Blanche Texier, Jean-Claude Nunes, Cédric Hemon, Pauline Lekieffre, Emma Collot, Hilda Chourak, Jennifer Le Guevelou, Peter Greer, Jason Dowling, Oscar Acosta, Igor Bessieres, Louis Marage, Adrien Boue-Rafle, Renaud De Crevoisier, Caroline Lafond, Anaïs Barateau
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
IntroductionFor radiotherapy based solely on magnetic resonance imaging (MRI), generating synthetic computed tomography scans (sCT) from MRI is essential for dose calculation. The use of deep learning (DL) methods to generate sCT from MRI has shown e
Externí odkaz:
https://doaj.org/article/a1d51ded1429495bb38f6ed943c64561
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:
Hilda Chourak, Anaïs Barateau, Safaa Tahri, Capucine Cadin, Caroline Lafond, Jean-Claude Nunes, Adrien Boue-Rafle, Mathias Perazzi, Peter B. Greer, Jason Dowling, Renaud de Crevoisier, Oscar Acosta
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
The quality assurance of synthetic CT (sCT) is crucial for safe clinical transfer to an MRI-only radiotherapy planning workflow. The aim of this work is to propose a population-based process assessing local errors in the generation of sCTs and their
Externí odkaz:
https://doaj.org/article/2401c2d187f14405846db2e879e5f08d
Autor:
Hilda Chourak, Anaïs Barateau, Jean-Claude Nunes, Peter B. Greer, Safaa Tahri, Caroline Lafond, Renaud de Crevoisier, Jason Dowling, Oscar Acosta
Publikováno v:
2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA).
Autor:
Caroline Lafond, A. Barateau, Peter B. Greer, R. De Crevoiser, Jason Dowling, Oscar Acosta, C. Cadin, H. Chourak, Jean-Claude Nunes
Publikováno v:
Radiotherapy and Oncology. 161:S1408-S1410
Autor:
Jason Dowling, Laura O'Connor, Oscar Acosta, Parnesh Raniga, Renaud de Crevoisier, Jean-Claude Nunes, Anais Barateau, Hilda Chourak, Jae Hyuk Choi, Peter Greer
Publikováno v:
Biomedical Image Synthesis and Simulation: Methods and Applications
Biomedical Image Synthesis and Simulation: Methods and Applications, Elsevier, pp.423-445, 2022, 9780128243497; 9780128243503. ⟨10.1016/B978-0-12-824349-7.00027-X⟩
Biomedical Image Synthesis and Simulation: Methods and Applications, Elsevier, pp.423-445, 2022, 9780128243497; 9780128243503. ⟨10.1016/B978-0-12-824349-7.00027-X⟩
International audience; Electron density information, usually obtained from computed tomography (CT) Hounsfield units, is critical for modern radiation therapy treatment planning. However, CT scans have limited ability to differentiate different type
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f12c84b329512e5d22c6fbcf13d8979
https://doi.org/10.1016/b978-0-12-824349-7.00027-x
https://doi.org/10.1016/b978-0-12-824349-7.00027-x
Autor:
Oscar Acosta, Simon Arridge, Anais Barateau, Riccardo Barbano, Julien Bert, Ninon Burgos, Hu Chen, Kevin T. Chen, Xiaoran Chen, Li Cheng, Jae Hyuk Choi, Hilda Chourak, Walter J. Curran, Renaud de Crevoisier, Srijay Deshpande, Blake E. Dewey, Jason Dowling, Ivana Drobnjak, Jan Ehrhardt, Dennis Eschweiler, Alejandro F. Frangi, Mark Graham, Peter Greer, Shuo Han, Yufan He, Juan Eugenio Iglesias, Mark Jenkinson, Bangti Jin, Wenchi Ke, Charles Kervrann, Ender Konukoglu, Violeta Kovacheva, Claes N. Ladefoged, Ina Laube, Yang Lei, Andrea Leo, Bowen Li, Huiqi Li, Tian Liu, Yihao Liu, Matteo Mancini, Fayyaz Minhas, Tereza Nečasová, Dong Nie, Jean-Claude Nunes, Laura O'Connor, Ilkay Oksuz, Anders B. Olin, Jerry L. Prince, Richard L.J. Qiu, Nasir Rajpoot, Parnesh Raniga, Nishant Ravikumar, Samuel W. Remedios, Pekka Ruusuvuori, David Sarrut, Johannes Stegmaier, David Svoboda, Ryutaro Tanno, Sotirios A. Tsaftaris, Vladimír Ulman, Gabriele Valvano, Tonghe Wang, Xuyun Wen, David Wiesner, Matthias Wilms, Yan Xia, Xiaofeng Yang, Greg Zaharchuk, Hui Zhang, Yi Zhang, Can Zhao, He Zhao, Lianrui Zuo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b44b27cc340c3c75307c529f2c431a63
https://doi.org/10.1016/b978-0-12-824349-7.00006-2
https://doi.org/10.1016/b978-0-12-824349-7.00006-2
Autor:
Eugenia Mylona, Peter B. Greer, Jason Dowling, Renaud de Crevoisier, Jean-Claude Nunes, Caroline Lafond, Hervé Saint-Jalmes, A. Barateau, John S. H. Baxter, Joël Castelli, A. Largent, Oscar Acosta
Publikováno v:
International Journal of Radiation Oncology, Biology, Physics
International Journal of Radiation Oncology, Biology, Physics, 2019, 105 (5), pp.1137-1150. ⟨10.1016/j.ijrobp.2019.08.049⟩
International Journal of Radiation Oncology-Biology-Physics
International Journal of Radiation Oncology-Biology-Physics, Elsevier, 2019, 105 (5), pp.1137-1150. ⟨10.1016/j.ijrobp.2019.08.049⟩
International Journal of Radiation Oncology, Biology, Physics, 2019, 105 (5), pp.1137-1150. ⟨10.1016/j.ijrobp.2019.08.049⟩
International Journal of Radiation Oncology-Biology-Physics
International Journal of Radiation Oncology-Biology-Physics, Elsevier, 2019, 105 (5), pp.1137-1150. ⟨10.1016/j.ijrobp.2019.08.049⟩
Purpose Deep learning methods (DLMs) have recently been proposed to generate pseudo-CT (pCT) for magnetic resonance imaging (MRI) based dose planning. This study aims to evaluate and compare DLMs (U-Net and generative adversarial network [GAN]) using
Autor:
Jean-Claude Nunes, Caroline Lafond, Peter B. Greer, Oscar Acosta, A. Barateau, Renaud de Crevoisier, Jason Dowling, A. Largent, Hervé Saint-Jalmes
Publikováno v:
International Journal of Radiation Oncology-Biology-Physics
International Journal of Radiation Oncology-Biology-Physics, Elsevier, 2019, 103 (2), pp.479-490. ⟨10.1016/j.ijrobp.2018.10.002⟩
International Journal of Radiation Oncology, Biology, Physics
International Journal of Radiation Oncology, Biology, Physics, 2019, 103 (2), pp.479-490. ⟨10.1016/j.ijrobp.2018.10.002⟩
International Journal of Radiation Oncology-Biology-Physics, Elsevier, 2019, 103 (2), pp.479-490. ⟨10.1016/j.ijrobp.2018.10.002⟩
International Journal of Radiation Oncology, Biology, Physics
International Journal of Radiation Oncology, Biology, Physics, 2019, 103 (2), pp.479-490. ⟨10.1016/j.ijrobp.2018.10.002⟩
Purpose Methods have been recently developed to generate pseudo–computed tomography (pCT) for dose calculation in magnetic resonance imaging (MRI)–only radiation therapy. This study aimed to propose an original nonlocal mean patch-based method (P