Prediction of the Presence of Targetable Molecular Alteration(s) with Clinico-Metabolic ¹⁸ F-FDG PET Radiomics in Non-Asian Lung Adenocarcinoma Patients by Nicolas Aide, Kathleen Weyts, Charline Lasnon

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More fat, less migration: breast density as a predictor of sentinel lymph node non-visualization in breast cancer by Elske Quak, Grégoire Braux, Kathleen Weyts, Charline Lasnon

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The impact of introducing deep learning based [18F]FDG PET denoising on EORTC and PERCIST therapeutic response assessments in digital PET/CT by Kathleen Weyts, Justine Lequesne, Alison Johnson, Hubert Curcio, Aurélie Parzy, Elodie Coquan, Charline Lasnon

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The Impact of Artificial Intelligence CNN Based Denoising on FDG PET Radiomics by Cyril Jaudet, Kathleen Weyts, Alexis Lechervy, Alain Batalla, Stéphane Bardet, Aurélien Corroyer-Dulmont, Aurélien Corroyer-Dulmont

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Deep Learning Denoising Improves and Homogenizes Patient [¹⁸F]FDG PET Image Quality in Digital PET/CT by Kathleen Weyts, Elske Quak, Idlir Licaj, Renaud Ciappuccini, Charline Lasnon, Aurélien Corroyer-Dulmont, Gauthier Foucras, Stéphane Bardet, Cyril Jaudet

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Artificial intelligence-based 68Ga-DOTATOC PET denoising for optimizing 68Ge/68Ga generator use throughout its lifetime by Elske Quak, Kathleen Weyts, Cyril Jaudet, Cyril Jaudet, Anaïs Prigent, Anaïs Prigent, Gauthier Foucras, Gauthier Foucras, Charline Lasnon, Charline Lasnon

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Radioimmunotherapy for Brain Metastases: The Potential for Inflammation as a Target of Choice by Aurélien Corroyer-Dulmont, Aurélien Corroyer-Dulmont, Cyril Jaudet, Anne-Marie Frelin, Jade Fantin, Kathleen Weyts, Katherine A. Vallis, Nadia Falzone, Nicola R. Sibson, Michel Chérel, Françoise Kraeber-Bodéré, Françoise Kraeber-Bodéré, Alain Batalla, Stéphane Bardet, Myriam Bernaudin, Samuel Valable

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