Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients von Lassau, Nathalie, Ammari, Samy, Chouzenoux, Emilie, Gortais, Hugo, Herent, Paul, Devilder, Matthieu, Soliman, Samer, Meyrignac, Olivier, Talabard, Marie-Pauline, Lamarque, Jean-Philippe, Dubois, Remy, Loiseau, Nicolas, Trichelair, Paul, Bendjebbar, Etienne, Garcia, Gabriel, Balleyguier, Corinne, Merad, Mansouria, Stoclin, Annabelle, Jegou, Simon, Griscelli, Franck, Tetelboum, Nicolas, Li, Yingping, Verma, Sagar, Terris, Matthieu, Dardouri, Tasnim, Gupta, Kavya, Neacsu, Ana, Chemouni, Frank, Sefta, Meriem, Jehanno, Paul, Bousaid, Imad, Boursin, Yannick, Planchet, Emmanuel, Azoulay, Mikael, Dachary, Jocelyn, Brulport, Fabien, Gonzalez, Adrian, Dehaene, Olivier, Schiratti, Jean-Baptiste, Schutte, Kathryn, Pesquet, Jean-Christophe, Talbot, Hugues, Pronier, Elodie, Wainrib, Gilles, Clozel, Thomas, Barlesi, Fabrice, Bellin, Marie-France, Blum, Michael G. B.

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Abdominal musculature segmentation and surface prediction from CT using deep learning for sarcopenia assessment von Blanc-Durand, P., Schiratti, J.-B., Schutte, K., Jehanno, P., Herent, P., Pigneur, F., Lucidarme, O., Benaceur, Y., Sadate, A., Luciani, A., Ernst, O., Rouchaud, A., Creze, M., Dallongeville, A., Banaste, N., Cadi, M., Bousaid, I., Lassau, N., Jegou, S.

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Laser beam shaping for enhanced Zero-Group Velocity Lamb modes generation von Bruno, François, Laurent, Jérôme, Jehanno, Paul, Royer, Daniel, Prada, Claire

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Semiautomated segmentation of hepatocellular carcinoma tumors with MRI using convolutional neural networks von Said, Daniela, Carbonell, Guillermo, Stocker, Daniel, Hectors, Stefanie, Vietti-Violi, Naik, Bane, Octavia, Chin, Xing, Schwartz, Myron, Tabrizian, Parissa, Lewis, Sara, Greenspan, Hayit, Jégou, Simon, Schiratti, Jean-Baptiste, Jehanno, Paul, Taouli, Bachir

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Semiautomated segmentation of hepatocellular carcinoma tumors with MRI using convolutional neural networks von Said, Daniela, Carbonell, Guillermo, Stocker, Daniel, Hectors, Stefanie, Vietti-Violi, Naik, Bane, Octavia, Chin, Xing, Schwartz, Myron, Tabrizian, Parissa, Lewis, Sara, Greenspan, Hayit, Jégou, Simon, Schiratti, Jean-Baptiste, Jehanno, Paul, Taouli, Bachir

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An artificial intelligence model predicts the survival of solid tumour patients from imaging and clinical data von Schutte, Kathryn, Brulport, Fabien, Harguem-Zayani, Sana, Schiratti, Jean-Baptiste, Ghermi, Ridouane, Jehanno, Paul, Jaeger, Alexandre, Alamri, Talal, Naccache, Raphaël, Haddag-Miliani, Leila, Orsi, Teresa, Lamarque, Jean-Philippe, Hoferer, Isaline, Lawrance, Littisha, Benatsou, Baya, Bousaid, Imad, Azoulay, Mikael, Verdon, Antoine, Bidault, François, Balleyguier, Corinne, Aubert, Victor, Bendjebbar, Etienne, Maussion, Charles, Loiseau, Nicolas, Schmauch, Benoît, Sefta, Meriem, Wainrib, Gilles, Clozel, Thomas, Ammari, Samy, Lassau, Nathalie

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Abstract 1924: PULS-AI: A multimodal artificial intelligence model to predict survival of solid tumor patients treated with antiangiogenics von Schutte, Kathryn, Brulport, Fabien, Harguem-Zayani, Sana, Schiratti, Jean-Baptiste, Ghermi, Ridouane, Jehanno, Paul, Jaeger, Alexandre, Alamri, Talal, Naccache, Raphael, Haddag-Miliani, Leila, Orsi, Teresa, Lamarque, Jean-Philippe, Hoferer, Isaline, Lawrance, Littisha, Benatsou, Baya, Bousaid, Imad, Azoulay, Mickael, Verdon, Antoine, Bidault, François, Balleyguier, Corinne, Aubert, Victor, Bendjebbar, Etienne, Maussion, Charles, Loiseau, Nicolas, Schmauch, Benoit, Sefta, Meriem, Wainrib, Gilles, Clozel, Thomas, Ammari, Samy, Lassau, Nathalie

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Laser beam shaping for enhanced Zero-Group Velocity Lamb modes generation von Bruno, François, Laurent, Jérôme, Jehanno, Paul, Royer, Daniel, Prada, Claire

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[18F]FDG PET/CT for predicting triple-negative breast cancer outcomes after neoadjuvant chemotherapy with or without pembrolizumab von Seban, Romain-David, Arnaud, Emilie, Loirat, Delphine, Cabel, Luc, Cottu, Paul, Djerroudi, Lounes, Hescot, Segolene, Loap, Pierre, Bonneau, Claire, Bidard, Francois-Clement, Huchet, Virginie, Jehanno, Nina, Berenbaum, Arnaud, Champion, Laurence, Buvat, Irene

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18F]FDG PET/CT for predicting triple-negative breast cancer outcomes after neoadjuvant chemotherapy with or without pembrolizuma von Seban, Romain David, Arnaud, Emilie, Loirat, Delphine, Cabel, Luc, Cottu, Paul Henri, Djerroudi, Lounes, Hescot, Ségolène, Loap, Pierre, Bonneau, Claire, Bidard, François Clément, Huchet, Virginie, Jehanno, Nina, Berenbaum, Arnaud, Champion, Laurence, Buvat, Ir̀ene

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Esthesioneuroblastoma in children, adolescents and young adults von Dumont, Benoit, Lemelle, Lauriane, Cordero, Camille, Couloigner, Vincent, Bernard, Sophie, Cardoen, Liesbeth, Brisse, Hervé J, Jehanno, Nina, Fréneaux, Paul, Helfre, Sylvie, Rouffiange, Lucie, Réguerre, Yves, Orbach, Daniel

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Assessment of response to endocrine therapy using FDG PET/CT in metastatic breast cancer: a pilot study von Mortazavi-Jehanno, Nina, Giraudet, Anne-Laure, Champion, Laurence, Lerebours, Florence, Le Stanc, Elise, Edeline, Veronique, Madar, Olivier, Bellet, Dominique, Pecking, Alain Paul, Alberini, Jean-Louis

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NUT carcinoma in children, adolescents and young adults von Lemelle, Lauriane, Moya-Plana, Antoine, Dumont, Benoît, Fresneau, Brice, Laprie, Anne, Claude, Line, Deneuve, Sophie, Cordero, Camille, Pierron, Gaelle, Couloigner, Vincent, Bernard, Sophie, Cardoen, Liesbeth, Brisse, Hervé J., Jehanno, Nina, Metayer, Lucy, Fréneaux, Paul, Helfre, Sylvie, Kolb, Fréderic, Thariat, Juliette, Réguerre, Yves, Orbach, Daniel

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Buruli??s ulcer: three cases diagnosed and treated in France von Journeau, Pierre, Fitoussi, Franck, Jehanno, Pascal, Padovani, Jean-Paul, Pennecot, Georges-Fran??ois

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Buruliʼs ulcer: three cases diagnosed and treated in France von Journeau, Pierre, Fitoussi, Franck, Jehanno, Pascal, Padovani, Jean-Paul, Pennecot, Georges-François

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