Výsledky vyhledávání - "Irène, Buvat"

Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem

Autor: Babak, Saboury, Tyler, Bradshaw, Ronald, Boellaard, Irène, Buvat, Joyita, Dutta, Mathieu, Hatt, Abhinav K, Jha, Quanzheng, Li, Chi, Liu, Helena, McMeekin, Michael A, Morris, Neeta, Pandit-Taskar, Peter J H, Scott, Eliot, Siegel, John J, Sunderland, Richard L, Wahl, Sven, Zuehlsdorff, Arman, Rahmim

Publikováno v: Saboury, B, Bradshaw, T, Boellaard, R, Buvat, I, Dutta, J, Hatt, M, Jha, A K, Li, Q, Liu, C, McMeekin, H, Morris, M A, Scott, P J H, Siegel, E, Sunderland, J J, Pandit-Taskar, N, Wahl, R L, Zuehlsdorff, S & Rahmim, A 2023, ' Artificial Intelligence in Nuclear Medicine : Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem ', Journal of nuclear medicine : official publication, Society of Nuclear Medicine, vol. 64, no. 2, pp. 188-196 . https://doi.org/10.2967/jnumed.121.263703
Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 64(2), 188-196

Trustworthiness is a core tenet of medicine. The patient-physician relationship is evolving from a dyad to a broader ecosystem of healthcare. With the emergence of artificial intelligence (AI) in medicine, the elements of trust must be revisited. We

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2d3a0c75e98b3f2580b0809f46e83ac
https://doi.org/10.2967/jnumed.121.263703

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Akademický článek

Correction for Magnetic Field Inhomogeneities and Normalization of Voxel Values Are Needed to Better Reveal the Potential of MR Radiomic Features in Lung Cancer

Autor: Maxime Lacroix, Frédérique Frouin, Anne-Sophie Dirand, Christophe Nioche, Fanny Orlhac, Jean-François Bernaudin, Pierre-Yves Brillet, Irène Buvat

Publikováno v: Frontiers in Oncology, Vol 10 (2020)

Purpose: To design and validate a preprocessing procedure dedicated to T2-weighted MR images of lung cancers so as to improve the ability of radiomic features to distinguish between adenocarcinoma and other histological types.Materials and Methods: A

Externí odkaz: https://doaj.org/article/9297a02525214706866795998926a69f

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Nuclear Medicine from a Novel Perspective: Buvat and Weber Talk with OpenAI’s ChatGPT

Autor: Irène Buvat, Wolfgang Weber

Publikováno v: Journal of Nuclear Medicine. 64:505-507

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4c4009c572d2ae05ea299ae0fa5cd35a
https://doi.org/10.2967/jnumed.123.265636

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Fibroblast heterogeneity in solid tumors: From single cell analysis to whole-body imaging

Autor: Agathe, Peltier, Romain-David, Seban, Irène, Buvat, François-Clément, Bidard, Fatima, Mechta-Grigoriou

Publikováno v: Seminars in Cancer Biology
Seminars in Cancer Biology, 2022, 86 (Pt 3), pp.262-272. ⟨10.1016/j.semcancer.2022.04.008⟩

International audience; Cancer-Associated Fibroblasts (CAFs) represent the most prominent component of the tumor microenvironment (TME). Recent studies demonstrated that CAF are heterogeneous and composed of different subpopulations exerting distinct

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99df758bbe54cf3382c05743c02a3044
https://doi.org/10.1016/j.semcancer.2022.04.008

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Figure S1 from LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity

Autor: Irène Buvat, Frédérique Frouin, Michael Soussan, Claire Pellot-Barakat, Charlotte Robert, Jessica Goya-Outi, Sylvain Reuzé, Sarah Boughdad, Fanny Orlhac, Christophe Nioche

Distribution of SUVpeak, Entropy, HGZE, and SRE in healthy tissues and in tumors as a function of the voxel size: in blue for 4x4x4 mm3, in green for 2x2x2 mm3 and in pink for 1x1x1 mm3.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::077cc63a3d0e7be012734c0cd8de8323
https://doi.org/10.1158/0008-5472.22420539

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Data from LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity

Autor: Irène Buvat, Frédérique Frouin, Michael Soussan, Claire Pellot-Barakat, Charlotte Robert, Jessica Goya-Outi, Sylvain Reuzé, Sarah Boughdad, Fanny Orlhac, Christophe Nioche

Textural and shape analysis is gaining considerable interest in medical imaging, particularly to identify parameters characterizing tumor heterogeneity and to feed radiomic models. Here, we present a free, multiplatform, and easy-to-use freeware call

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::478d1fbc546f41f4d12dc51d6a1f5d02
https://doi.org/10.1158/0008-5472.c.6510678.v1

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Demonstration of the use of LIFEx for radiomic feature extraction from a PET/MR scan from LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity

Autor: Irène Buvat, Frédérique Frouin, Michael Soussan, Claire Pellot-Barakat, Charlotte Robert, Jessica Goya-Outi, Sylvain Reuzé, Sarah Boughdad, Fanny Orlhac, Christophe Nioche

A real-time complete example of radiomic feature calculation from a PET/MR scan, where the same volumes of interest are used to extract PET and MR radiomic features.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28e65b01ab19af35cf2de9978d33faeb
https://doi.org/10.1158/0008-5472.22420542.v1

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Table S1 from LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity

Autor: Irène Buvat, Frédérique Frouin, Michael Soussan, Claire Pellot-Barakat, Charlotte Robert, Jessica Goya-Outi, Sylvain Reuzé, Sarah Boughdad, Fanny Orlhac, Christophe Nioche

Well-known software programs that enable the calculation of radiomic features and associated characteristics.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::189d6acf4e31ee29cd72d9ca667e2806
https://doi.org/10.1158/0008-5472.22420536.v1

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Baseline PET Metabolic Tumor Volume Predicts Outcome in Advanced Follicular Lymphoma Patients Who Received First-Line Immunochemotherapy but Not Those Treated with Lenalidomide-Rituximab in the Phase III Relevance Study

Autor: Anne Ségolène Cottereau, Louis Rebaud, Judith Trotman, Pierre Feugier, Loretta J. Nastoupil, Emmanuel Bachy, Ian W. Flinn, Corinne Haioun, Loic Ysebaert, Nancy L. Bartlett, Hervé Tilly, René-Olivier Casasnovas, Romain Ricci, Cedric Portugues, Irène Buvat, Michel Meignan, Franck Morschhauser

Publikováno v: Blood. 140:6474-6476

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9f4eafe7e8999e0a1b6e0fa8b8e6c6ac
https://doi.org/10.1182/blood-2022-159207

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Voxel‐wise supervised analysis of tumors with multimodal engineered features to highlight interpretable biological patterns

Autor: Thibault Escobar, Sébastien Vauclin, Fanny Orlhac, Christophe Nioche, Pascal Pineau, Laurence Champion, Hervé Brisse, Irène Buvat

Publikováno v: Medical Physics
Medical Physics, 2022, 49 (6), pp.3816-3829. ⟨10.1002/mp.15603⟩

International audience; Background: Translation of predictive and prognostic image-based learning models to clinical applications are challenging due in part to their lack of interpretability. Some deep-learningbased methods provide information about

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b0852e56152b69df5611a83cb756191
https://doi.org/10.1002/mp.15603

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