يعرض 1 - 9 نتائج من 9 نتيجة بحث عن '"Collot, Emma"', وقت الاستعلام: 0.33s تنقيح النتائج
  1. 1
    Academic Journal
    Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learning

    المؤلفون: Texier, Blanche, Hemon, Cédric, Lekieffre, Pauline, Collot, Emma, Tahri, Safaa, Chourak, Hilda, Dowling, Jason, Greer, Peter, Bessieres, Igor, Acosta, Oscar, Boue-Rafle, Adrien, Le guevelou, J., Crevoisier, Renaud, Lafond, Caroline, Castelli, Joël, Barateau, Anais, Nunes, Jean-Claude

    المساهمون: CRLCC Eugène Marquis (CRLCC), UNICANCER, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Commonwealth Scientific and Industrial Research Organisation Canberra (CSIRO), Calvary Mater Newcastle Hospital, Centre Régional de Lutte contre le cancer Georges-François Leclerc Dijon (UNICANCER/CRLCC-CGFL), The present work was funded by CominLabs with the CEMMTAUR project 2022. This research was partially supported by a PhD scholarship Grant from University of Rennes (France).

    المصدر: ISSN: 2405-6316 ; Physics and Imaging in Radiation Oncology ; https://hal.science/hal-04350538 ; Physics and Imaging in Radiation Oncology, 2023, 28, pp.100511. ⟨10.1016/j.phro.2023.100511⟩.

    مصطلحات موضوعية: Medicine, Multicenter study, Generalizability theory, Multicenter trial, Medical physics, Nuclear medicine, Magnetic resonance imaging, [SDV.IB]Life Sciences [q-bio]/Bioengineering, [SDV.CAN]Life Sciences [q-bio]/Cancer

    Relation: hal-04350538; https://hal.science/hal-04350538; https://hal.science/hal-04350538/document; https://hal.science/hal-04350538/file/PIIS2405631623001021.pdf

    الاتاحة: https://hal.science/hal-04350538
    https://hal.science/hal-04350538/document
    https://hal.science/hal-04350538/file/PIIS2405631623001021.pdf
    https://doi.org/10.1016/j.phro.2023.100511

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  2. 2
    Academic Journal
    A deep learning model to generate synthetic CT for prostate MR-only radiotherapy dose planning: a multicenter study

    المؤلفون: Tahri, Safaa, Texier, Blanche, Nunes, Jean-Claude, Hemon, Cédric, Lekieffre, Pauline, Collot, Emma, Chourak, Hilda, Le Guevelou, Jennifer, Greer, Peter, Dowling, Jason, Acosta, Oscar, Bessieres, Igor, Marage, Louis, Boue-Rafle, Adrien, de Crevoisier, Renaud, Lafond, Caroline, Barateau, Anais

    المساهمون: Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), CRLCC Eugène Marquis (CRLCC), UNICANCER, Calvary Mater Newcastle Hospital, Commonwealth Scientific and Industrial Research Organisation Canberra (CSIRO), Centre Régional de Lutte contre le cancer Georges-François Leclerc Dijon (UNICANCER/CRLCC-CGFL), This research was supported by PhD scholarship grants from the Ligue contre le cancer and the University of Rennes, and also by CominLabs with the CEMMTAUR project.

    المصدر: ISSN: 2234-943X ; Frontiers in Oncology ; https://hal.science/hal-04321510 ; Frontiers in Oncology, 2023, Frontiers in Oncology, 13, pp.1279750. ⟨10.3389/fonc.2023.1279750⟩.

    مصطلحات موضوعية: Cancer Research, Oncology, [SDV.IB]Life Sciences [q-bio]/Bioengineering

    Relation: hal-04321510; https://hal.science/hal-04321510; https://hal.science/hal-04321510v2/document; https://hal.science/hal-04321510v2/file/fonc-13-1279750.pdf

    الاتاحة: https://hal.science/hal-04321510
    https://hal.science/hal-04321510v2/document
    https://hal.science/hal-04321510v2/file/fonc-13-1279750.pdf
    https://doi.org/10.3389/fonc.2023.1279750

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  3. 3
    Academic Journal
    Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learning

    المؤلفون: Texier, Blanche, Hémon, Cédric, Boue-Rafle, Adrien, Le Guevelou, Jennifer, de Crevoisier, Renaud, Lafond, Caroline, Castelli, Joël, Barateau, Anaïs, Nunes, Jean-Claude, Lekieffre, Pauline, Collot, Emma, Tahri, Safaa, Chourak, Hilda, Dowling, Jason, Greer, Peter, Bessieres, Igor, Acosta, Oscar

    المساهمون: The University of Newcastle. College of Engineering, Science & Environment, School of Information and Physical Sciences

    مصطلحات موضوعية: radiotherapy treatment planning, synthetic-CT, magnetic resonance imaging, cycle-GAN, multicenter, SDG 3, Sustainable Development Goals

    Relation: Physics and Imaging in Radiation Oncology Vol. 28, Issue October 2023, no. 100511; http://hdl.handle.net/1959.13/1501108; uon:55076

    الاتاحة: http://hdl.handle.net/1959.13/1501108

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  4. 4
    Academic Journal
    Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learning

    المؤلفون: Texier, Blanche, Hemon, Cédric, Lekieffre, Pauline, Collot, Emma, Tahri, Safaa, Chourak, Hilda, Dowling, Jason, Greer, Peter, Bessieres, Igor, Acosta, Oscar, Boue-Rafle, Adrien, Le guevelou, J., Crevoisier, Renaud, Lafond, Caroline, Castelli, Joël, Barateau, Anais, Nunes, Jean-Claude

    المساهمون: CRLCC Eugène Marquis (CRLCC), UNICANCER, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Commonwealth Scientific and Industrial Research Organisation Canberra (CSIRO), Calvary Mater Newcastle Hospital, Centre Régional de Lutte contre le cancer Georges-François Leclerc Dijon (UNICANCER/CRLCC-CGFL), The present work was funded by CominLabs with the CEMMTAUR project 2022. This research was partially supported by a PhD scholarship Grant from University of Rennes (France).

    المصدر: ISSN: 2405-6316 ; Physics and Imaging in Radiation Oncology ; https://hal.science/hal-04350538 ; Physics and Imaging in Radiation Oncology, 2023, 28, pp.100511. ⟨10.1016/j.phro.2023.100511⟩.

    مصطلحات موضوعية: Medicine, Multicenter study, Generalizability theory, Multicenter trial, Medical physics, Nuclear medicine, Magnetic resonance imaging, [SDV.IB]Life Sciences [q-bio]/Bioengineering, [SDV.CAN]Life Sciences [q-bio]/Cancer

    Relation: hal-04350538; https://hal.science/hal-04350538; https://hal.science/hal-04350538/document; https://hal.science/hal-04350538/file/PIIS2405631623001021.pdf

    الاتاحة: https://hal.science/hal-04350538
    https://hal.science/hal-04350538/document
    https://hal.science/hal-04350538/file/PIIS2405631623001021.pdf
    https://doi.org/10.1016/j.phro.2023.100511

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  5. 5
    Academic Journal
    A deep learning model to generate synthetic CT for prostate MR-only radiotherapy dose planning: a multicenter study

    المؤلفون: Tahri, Safaa, Texier, Blanche, Nunes, Jean-Claude, Hemon, Cédric, Lekieffre, Pauline, Collot, Emma, Chourak, Hilda, Le Guevelou, Jennifer, Greer, Peter, Dowling, Jason, Acosta, Oscar, Bessieres, Igor, Marage, Louis, Boue-Rafle, Adrien, de Crevoisier, Renaud, Lafond, Caroline, Barateau, Anais

    المساهمون: Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), CRLCC Eugène Marquis (CRLCC), UNICANCER, Calvary Mater Newcastle Hospital, Commonwealth Scientific and Industrial Research Organisation Canberra (CSIRO), Centre Régional de Lutte contre le cancer Georges-François Leclerc Dijon (UNICANCER/CRLCC-CGFL), This research was supported by PhD scholarship grants from the Ligue contre le cancer and the University of Rennes, and also by CominLabs with the CEMMTAUR project.

    المصدر: ISSN: 2234-943X ; Frontiers in Oncology ; https://hal.science/hal-04321510 ; Frontiers in Oncology, 2023, Frontiers in Oncology, 13, pp.1279750. ⟨10.3389/fonc.2023.1279750⟩.

    مصطلحات موضوعية: Cancer Research, Oncology, [SDV.IB]Life Sciences [q-bio]/Bioengineering

    Relation: hal-04321510; https://hal.science/hal-04321510; https://hal.science/hal-04321510v2/document; https://hal.science/hal-04321510v2/file/fonc-13-1279750.pdf

    الاتاحة: https://hal.science/hal-04321510
    https://hal.science/hal-04321510v2/document
    https://hal.science/hal-04321510v2/file/fonc-13-1279750.pdf
    https://doi.org/10.3389/fonc.2023.1279750

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  6. 6
    Academic Journal
    A deep learning model to generate synthetic CT for prostate MR-only radiotherapy dose planning: a multicenter study

    المؤلفون: Tahri, Safaa, Texier, Blanche, Nunes, Jean-Claude, Hemon, Cédric, Lekieffre, Pauline, Collot, Emma, Chourak, Hilda, Le Guevelou, Jennifer, Greer, Peter, Dowling, Jason, Acosta, Oscar, Bessieres, Igor, Marage, Louis, Boue-Rafle, Adrien, De Crevoisier, Renaud, Lafond, Caroline, Barateau, Anaïs

    المصدر: Frontiers in Oncology ; volume 13 ; ISSN 2234-943X

    الاتاحة: http://dx.doi.org/10.3389/fonc.2023.1279750
    https://www.frontiersin.org/articles/10.3389/fonc.2023.1279750/full

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  7. 7
    Academic Journal
    Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learning

    المؤلفون: Texier, Blanche, Hémon, Cédric, Lekieffre, Pauline, Collot, Emma, Tahri, Safaa, Chourak, Hilda, Dowling, Jason, Greer, Peter, Bessieres, Igor, Acosta, Oscar, Boue-Rafle, Adrien, Guevelou, Jennifer Le, de Crevoisier, Renaud, Lafond, Caroline, Castelli, Joël, Barateau, Anaïs, Nunes, Jean-Claude

    المصدر: Physics and Imaging in Radiation Oncology ; volume 28, page 100511 ; ISSN 2405-6316

    الاتاحة: http://dx.doi.org/10.1016/j.phro.2023.100511
    https://api.elsevier.com/content/article/PII:S2405631623001021?httpAccept=text/xml
    https://api.elsevier.com/content/article/PII:S2405631623001021?httpAccept=text/plain

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  8. 8
    Academic Journal
    A deep learning model to generate synthetic CT for prostate MR-only radiotherapy dose planning: a multicenter study

    المؤلفون: Tahri, Safaa, Texier, Blanche, Acosta, Oscar, Bessieres, Igor, Marage, Louis, Boue-Rafle, Adrien, De Crevoisier, Renaud, Lafond, Caroline, Barateau, Anais, Nunes, Jean-Claude, Hémon, Cédric, Lekieffre, Pauline, Collot, Emma, Chourak, Hilda, Le Guevelou, Jennifer, Greer, Peter, Dowling, Jason

    المساهمون: The University of Newcastle. College of Engineering, Science & Environment, School of Information and Physical Sciences

    مصطلحات موضوعية: MR-only, radiotherapy, dose planning, MRI, deep learning, CT synthesis, SDG 3, Sustainable Development Goals

    Relation: Frontiers in Oncology Vol. 13, no. 1279750; http://hdl.handle.net/1959.13/1494704; uon:53856

    الاتاحة: http://hdl.handle.net/1959.13/1494704

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  9. 9
    Academic Journal
    Computed tomography synthesis from magnetic resonance imaging using cycle Generative Adversarial Networks with multicenter learning

    المؤلفون: Texier, Blanche, Hemon, Cédric, Lekieffre, Pauline, Collot, Emma, Tahri, Safaa, Chourak, Hilda, Dowling, Jason, Greer, Peter, Bessieres, Igor, Acosta, Oscar, Boue-Rafle, Adrien, Le guevelou, J., Crevoisier, Renaud, Lafond, Caroline, Castelli, Joël, Barateau, Anais, Nunes, Jean-Claude

    المساهمون: CRLCC Eugène Marquis (CRLCC), UNICANCER, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Commonwealth Scientific and Industrial Research Organisation Canberra (CSIRO), Calvary Mater Newcastle Hospital, Centre Régional de Lutte contre le cancer Georges-François Leclerc Dijon (UNICANCER/CRLCC-CGFL), The present work was funded by CominLabs with the CEMMTAUR project 2022. This research was partially supported by a PhD scholarship Grant from University of Rennes (France).

    المصدر: ISSN: 2405-6316 ; Physics and Imaging in Radiation Oncology ; https://hal.science/hal-04350538 ; Physics and Imaging in Radiation Oncology, 2023, Physics and Imaging in Radiation Oncology, 28, pp.100511. ⟨10.1016/j.phro.2023.100511⟩.

    مصطلحات موضوعية: Medicine, Multicenter study, Generalizability theory, Multicenter trial, Medical physics, Nuclear medicine, Magnetic resonance imaging, [SDV.IB]Life Sciences [q-bio]/Bioengineering

    Relation: hal-04350538; https://hal.science/hal-04350538

    الاتاحة: https://hal.science/hal-04350538
    https://doi.org/10.1016/j.phro.2023.100511

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