{"id":73,"date":"2022-08-26T10:10:25","date_gmt":"2022-08-26T08:10:25","guid":{"rendered":"https:\/\/project.inria.fr\/cemmtaur\/?page_id=73"},"modified":"2024-11-19T13:59:45","modified_gmt":"2024-11-19T12:59:45","slug":"publications","status":"publish","type":"page","link":"https:\/\/project.inria.fr\/cemmtaur\/fr\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Journal papers<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Registration (WP3)<\/strong><br>H\u00e9mon C., Texier B., Queff\u00e9lec A., et al., Indirect deformable image registration using synthetic image generated by unsupervised deep learning. Image and Vision Computing, vol 148, 2024.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>MR-to-CT Synthesis (WP4)<\/strong><br>S. Han, B. Texier, C. H\u00e9mon, Y. Kortli, A. Queffelec, et al., Balancing data consistency and diversity: Preprocessing and online data augmentation for multi-center deep learning-based MR-to-CT synthesis, Pattern Recognition Letters, november 2024, in revision.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">B. Texier, C. H\u00e9mon, P. Lekieffre, E Collot, et al., Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learning, PHIRO, vol. 28, 2023.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">S. Tahri, B. Texier, J-C Nunes, C. H\u00e9mon, P. Lekieffre, E Collot, et al., A deep learning model to generate synthetic CT for prostate MR-only radiotherapy dose planning: a multicenter study. Front. Oncol. vol. 13, 2023.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Conferences<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>MR-to-CT Synthesis (WP4)<\/strong><br>B. Texier, S. Gharsallah, S. Han, C. H\u00e9mon, et al., Enhancing MRI-Only Radiotherapy: Overcoming Dental Artifacts with 3D GAN-Based Synthetic CT Generation, ESTRO 2025, Vienna, Austria, submitted.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">S. Han, B. Texier, C. H\u00e9mon, Y. Kortli, A. Queffelec, et al., Online data augmentation for deep learning-based MR-to-CT synthesis, ESTRO 2025, Vienna, Austria, submitted.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">B. Texier, A. Queff\u00e9lec, Z. Jenkal, C. H\u00e9mon, Y. Kortli, S. Han, et al., Brain MR-to-CT generation: comparison between supervised and unsupervised cGAN, ESTRO 2024, Glasgow, UK.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">S. Tahri, C. Hemon, Z. Jenkal, et al., Comparaison de deux m\u00e9thodes de calcul de dose \u00e0 partir de CBCT en radioth\u00e9rapie des cancers de la sph\u00e8re ORL, SFRO 2023.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">B. Texier, C. H\u00e9mon, P. Lekieffre, E. Collot, S. Tahri, H. Chourak, J. Dowling, P. Greer, I. Bessieres, A. Barateau, C. Lafond, O. Acosta, R. de Crevoisier, J. Castelli and J.C. Nunes, Multi-center CT synthesis by 3D cycle-GAN for prostate MRI-only radiotherapy, ISBI 2023.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">B. Texier, C. H\u00e9mon, E. Collot, P. Lekieffre, S. Tahri, H. Chourak, P. Greer, J. Dowling, A. Barateau, C. Lafond, R. de Crevoisier, J. Castelli and J.C. Nunes, Evaluation of prostate synthetic CTs from MRI using 2D cycle-GAN with multicentric learning, ESTRO 2023, Vienna, Austria.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">P. Lekieffre, E. Collot, B. Texier, C. H\u00e9mon, S. Tahri, H. Chourak, I. Bessieres, P. Greer, J. Dowling, A. Barateau, C. Lafond, R. de Crevoisier, J.C. Nunes, 3D patch cycle-GAN-based MR-to-CT synthesis from monocenter and multicenter training, ESTRO 2023, Vienna, Austria..<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">E. Collot, P. Lekieffre, B. Texier, C. H\u00e9mon, S. Tahri, H. Chourak, A. Barateau, C. Lafond, R. de Crevoisier, J.C. Nunes, Evaluation of synthetic CTs by 3D Cycle-GAN from prostate MR images, ESTRO 2023, Vienna, Austria.<\/p>","protected":false},"excerpt":{"rendered":"<p>Journal papers Registration (WP3)H\u00e9mon C., Texier B., Queff\u00e9lec A., et al., Indirect deformable image registration using synthetic image generated by unsupervised deep learning. Image and\u2026<\/p>\n<p> <a class=\"continue-reading-link\" href=\"https:\/\/project.inria.fr\/cemmtaur\/fr\/publications\/\"><span>Continue reading<\/span><i class=\"crycon-right-dir\"><\/i><\/a> <\/p>\n","protected":false},"author":1754,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_members_access_role":[],"_members_access_error":""},"class_list":["post-73","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/project.inria.fr\/cemmtaur\/fr\/wp-json\/wp\/v2\/pages\/73","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/project.inria.fr\/cemmtaur\/fr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/project.inria.fr\/cemmtaur\/fr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/cemmtaur\/fr\/wp-json\/wp\/v2\/users\/1754"}],"replies":[{"embeddable":true,"href":"https:\/\/project.inria.fr\/cemmtaur\/fr\/wp-json\/wp\/v2\/comments?post=73"}],"version-history":[{"count":9,"href":"https:\/\/project.inria.fr\/cemmtaur\/fr\/wp-json\/wp\/v2\/pages\/73\/revisions"}],"predecessor-version":[{"id":111,"href":"https:\/\/project.inria.fr\/cemmtaur\/fr\/wp-json\/wp\/v2\/pages\/73\/revisions\/111"}],"wp:attachment":[{"href":"https:\/\/project.inria.fr\/cemmtaur\/fr\/wp-json\/wp\/v2\/media?parent=73"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}