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ArticlesPeer ReviewedFull Text
New PET technologies – embracing progress and pushing the limits
Author / Creator:Aide, Nicolas ; Lasnon, Charline ; Kesner, Adam ; Levin, Craig S ; Buvat, Irene ; Iagaru, Andrei ; Hermann, Ken ; Badawi, Ramsey D ; Cherry, Simon R ; Bradley, Kevin M ; McGowan, Daniel R
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European journal of nuclear medicine and molecular imaging, 2021-08, Vol.48 (9), p.2711-2726
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Imaging translocator protein expression with positron emission tomography
Author / Creator:Wimberley, Catriona ; Buvat, Irene ; Boutin, Hervé
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European journal of nuclear medicine and molecular imaging, 2021-12, Vol.49 (1), p.74-76
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ArticlesPeer ReviewedFull Text
Total metabolic tumor volume and spleen metabolism on baseline [18F]-FDG PET/CT as independent prognostic biomarkers of recurrence in resected breast cancer
Author / Creator:Seban, Romain-David ; Rouzier, Roman ; Latouche, Aurelien ; Deleval, Nicolas ; Guinebretiere, Jean-Marc ; Buvat, Irene ; Bidard, Francois-Clement ; Champion, Laurence
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European journal of nuclear medicine and molecular imaging, 2021-10, Vol.48 (11), p.3560-3570
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ArticlesPeer ReviewedFull Text
Improved Estimation of Cardiac Function Parameters Using a Combination of Independent Automated Segmentation Results in Cardiovascular Magnetic Resonance Imaging
Author / Creator:Lebenberg, Jessica ; Lalande, Alain ; Clarysse, Patrick ; Buvat, Irene ; Casta, Christopher ; Cochet, Alexandre ; Constantinidès, Constantin ; Cousty, Jean ; de Cesare, Alain ; Jehan-Besson, Stephanie ; Lefort, Muriel ; Najman, Laurent ; Roullot, Elodie ; Sarry, Laurent ; Tilmant, Christophe ; Frouin, Frederique ; Garreau, Mireille
Publisher:United States: Public Library of Science
Journal title:PloS one, 2015-08, Vol.10 (8), p.e0135715-e0135715
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How can we combat multicenter variability in MR radiomics? Validation of a correction procedure
Author / Creator:Orlhac, Fanny ; Lecler, Augustin ; Savatovski, Julien ; Goya-Outi, Jessica ; Nioche, Christophe ; Charbonneau, Frédérique ; Ayache, Nicholas ; Frouin, Frédérique ; Duron, Loïc ; Buvat, Irène
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European radiology, 2021-04, Vol.31 (4), p.2272-2280
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18F-FDG PET-Derived Textural Indices Reflect Tissue-Specific Uptake Pattern in Non-Small Cell Lung Cancer
Author / Creator:Orlhac, Fanny ; Soussan, Michaël ; Chouahnia, Kader ; Martinod, Emmanuel ; Buvat, Irène
Publisher:United States: Public Library of Science
Journal title:PloS one, 2015-12, Vol.10 (12), p.e0145063-e0145063
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An [18F]FDG-PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients
Author / Creator:Wallis, David ; Soussan, Michaël ; Lacroix, Maxime ; Akl, Pia ; Duboucher, Clément ; Buvat, Irène
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European journal of nuclear medicine and molecular imaging, 2022-02, Vol.49 (3), p.881-888
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Just another “Clever Hans”? Neural networks and FDG PET-CT to predict the outcome of patients with breast cancer
Author / Creator:Weber, Manuel ; Kersting, David ; Umutlu, Lale ; Schäfers, Michael ; Rischpler, Christoph ; Fendler, Wolfgang P. ; Buvat, Irène ; Herrmann, Ken ; Seifert, Robert
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European journal of nuclear medicine and molecular imaging, 2021-09, Vol.48 (10), p.3141-3150
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ArticlesPeer ReviewedFull Text
Relationship between Tumor Heterogeneity Measured on FDG-PET/CT and Pathological Prognostic Factors in Invasive Breast Cancer
Author / Creator:Soussan, Michael ; Orlhac, Fanny ; Boubaya, Marouane ; Zelek, Laurent ; Ziol, Marianne ; Eder, Véronique ; Buvat, Irène
Publisher:United States: Public Library of Science
Journal title:PloS one, 2014-04, Vol.9 (4), p.e94017
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Comment on Ibrahim et al. The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization. Cancers 2021, 13, 1848
Author / Creator:Orlhac, Fanny ; Buvat, Irène
Publisher:Basel: MDPI AG
Journal title:Cancers, 2021-06, Vol.13 (12), p.3037
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ArticlesPeer ReviewedFull Text
PET/MRI in large-vessel vasculitis: clinical value for diagnosis and assessment of disease activity
Author / Creator:Laurent, Charlotte ; Ricard, Laure ; Fain, Olivier ; Buvat, Irene ; Adedjouma, Amir ; Soussan, Michael ; Mekinian, Arsène
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2019-08, Vol.9 (1), p.12388-7, Article 12388
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ArticlesPeer ReviewedFull Text
Partial-Volume Effect in PET Tumor Imaging
Author / Creator:Soret, Marine ; Bacharach, Stephen L ; Buvat, Irene
Publisher:United States: Soc Nuclear Med
Journal title:The Journal of nuclear medicine (1978), 2007-06, Vol.48 (6), p.932-945
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ArticlesPeer ReviewedFull Text
EJNMMI supplement: bringing AI and radiomics to nuclear medicine
Author / Creator:Veit-Haibach, Patrick ; Buvat, Irène ; Herrmann, Ken
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European journal of nuclear medicine and molecular imaging, 2019-12, Vol.46 (13), p.2627-2629
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ArticlesPeer ReviewedFull Text
Joint prediction of multiple scores captures better individual traits from brain images
Author / Creator:Rahim, Mehdi ; Thirion, Bertrand ; Bzdok, Danilo ; Buvat, Irène ; Varoquaux, Gaël
Publisher:United States: Elsevier Inc
Journal title:NeuroImage (Orlando, Fla.), 2017-09, Vol.158, p.145-154
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ArticlesPeer ReviewedFull Text
Integration of clinical, pathological, radiological, and transcriptomic data improves prediction for first-line immunotherapy outcome in metastatic non-small cell lung cancer
Author / Creator:Captier, Nicolas ; Lerousseau, Marvin ; Orlhac, Fanny ; Hovhannisyan-Baghdasarian, Narinée ; Luporsi, Marie ; Woff, Erwin ; Lagha, Sarah ; Salamoun Feghali, Paulette ; Lonjou, Christine ; Beaulaton, Clément ; Zinovyev, Andrei ; Salmon, Hélène ; Walter, Thomas ; Buvat, Irène ; Girard, Nicolas ; Barillot, Emmanuel
Publisher:London: Nature Publishing Group UK
Journal title:Nature communications, 2025-01, Vol.16 (1), p.614-19, Article 614
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ArticlesPeer ReviewedFull Text
[18F]-FDG PET and MRI radiomic signatures to predict the risk and the location of tumor recurrence after re-irradiation in head and neck cancer
Author / Creator:Beddok, Arnaud ; Orlhac, Fanny ; Calugaru, Valentin ; Champion, Laurence ; Ala Eddine, Catherine ; Nioche, Christophe ; Créhange, Gilles ; Buvat, Irène
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European journal of nuclear medicine and molecular imaging, 2023-01, Vol.50 (2), p.559-571
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ArticlesPeer ReviewedFull Text
A downsampling strategy to assess the predictive value of radiomic features
Author / Creator:Dirand, Anne-Sophie ; Frouin, Frédérique ; Buvat, Irène
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2019-11, Vol.9 (1), p.17869-13, Article 17869
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ArticlesPeer ReviewedFull Text
Comparative Assessment of Methods for Estimating Tumor Volume and Standardized Uptake Value in 18F-FDG PET
Author / Creator:Tylski, Perrine ; Stute, Simon ; Grotus, Nicolas ; Doyeux, Kaya ; Hapdey, Sebastien ; Gardin, Isabelle ; Vanderlinden, Bruno ; Buvat, Irene
Publisher:Soc Nuclear Med
Journal title:The Journal of nuclear medicine (1978), 2010-02, Vol.51 (2), p.268
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ArticlesPeer ReviewedFull Text
Impact of Image-Space Resolution Modeling for Studies with the High-Resolution Research Tomograph
Author / Creator:Sureau, Florent C ; Reader, Andrew J ; Comtat, Claude ; Leroy, Claire ; Ribeiro, Maria-Joao ; Buvat, Irene ; Trebossen, Regine
Publisher:United States: Soc Nuclear Med
Journal title:Journal of Nuclear Medicine, 2008-06, Vol.49 (6), p.1000-1008
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ArticlesPeer ReviewedFull Text
Longitudinal mouse-PET imaging: a reliable method for estimating binding parameters without a reference region or blood sampling
Author / Creator:Wimberley, Catriona ; Nguyen, Duc Loc ; Truillet, Charles ; Peyronneau, Marie-Anne ; Gulhan, Zuhal ; Tonietto, Matteo ; Boumezbeur, Fawzi ; Boisgard, Raphael ; Chalon, Sylvie ; Bouilleret, Viviane ; Buvat, Irène
Publisher:Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title:European journal of nuclear medicine and molecular imaging, 2020-10, Vol.47 (11), p.2589-2601
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Showing 1 to 20 of 70 results

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New PET technologies – embracing progress and pushing the limits

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Imaging translocator protein expression with positron emission tomography

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Total metabolic tumor volume and spleen metabolism on baseline [18F]-FDG PET/CT as independent prognostic biomarkers of recurrence in resected breast cancer

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Improved Estimation of Cardiac Function Parameters Using a Combination of Independent Automated Segmentation Results in Cardiovascular Magnetic Resonance Imaging

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How can we combat multicenter variability in MR radiomics? Validation of a correction procedure

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18F-FDG PET-Derived Textural Indices Reflect Tissue-Specific Uptake Pattern in Non-Small Cell Lung Cancer

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An [18F]FDG-PET/CT deep learning method for fully automated detection of pathological mediastinal lymph nodes in lung cancer patients

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Just another “Clever Hans”? Neural networks and FDG PET-CT to predict the outcome of patients with breast cancer

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Relationship between Tumor Heterogeneity Measured on FDG-PET/CT and Pathological Prognostic Factors in Invasive Breast Cancer

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Comment on Ibrahim et al. The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization. Cancers 2021, 13, 1848

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PET/MRI in large-vessel vasculitis: clinical value for diagnosis and assessment of disease activity

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Partial-Volume Effect in PET Tumor Imaging

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EJNMMI supplement: bringing AI and radiomics to nuclear medicine

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Joint prediction of multiple scores captures better individual traits from brain images

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Integration of clinical, pathological, radiological, and transcriptomic data improves prediction for first-line immunotherapy outcome in metastatic non-small cell lung cancer

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[18F]-FDG PET and MRI radiomic signatures to predict the risk and the location of tumor recurrence after re-irradiation in head and neck cancer

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A downsampling strategy to assess the predictive value of radiomic features

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Comparative Assessment of Methods for Estimating Tumor Volume and Standardized Uptake Value in 18F-FDG PET

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Impact of Image-Space Resolution Modeling for Studies with the High-Resolution Research Tomograph

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Longitudinal mouse-PET imaging: a reliable method for estimating binding parameters without a reference region or blood sampling

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