Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Charlotte Robert"'
Autor:
Rahimeh Rouhi, Stéphane Niyoteka, Alexandre Carré, Samir Achkar, Pierre-Antoine Laurent, Mouhamadou Bachir Ba, Cristina Veres, Théophraste Henry, Maria Vakalopoulou, Roger Sun, Sophie Espenel, Linda Mrissa, Adrien Laville, Cyrus Chargari, Eric Deutsch, Charlotte Robert
Publikováno v:
Physics and Imaging in Radiation Oncology, Vol 30, Iss , Pp 100578- (2024)
Background and Purpose: Automatic segmentation methods have greatly changed the RadioTherapy (RT) workflow, but still need to be extended to target volumes. In this paper, Deep Learning (DL) models were compared for Gross Tumor Volume (GTV) segmentat
Externí odkaz:
https://doaj.org/article/4f8d8ae90c1e4b03873351f3036e4c9c
Autor:
Nathan Benzazon, Julie Colnot, François de Kermenguy, Samir Achkar, Florent de Vathaire, Eric Deutsch, Charlotte Robert, Ibrahima Diallo
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
A growing body of scientific evidence indicates that exposure to low dose ionizing radiation (< 2 Gy) is associated with a higher risk of developing radio-induced cancer. Additionally, it has been shown to have significant impacts on both innate and
Externí odkaz:
https://doaj.org/article/5970ded6eaab441da798ce0cb51787d7
Autor:
Alexandre Carré, Enzo Battistella, Stephane Niyoteka, Roger Sun, Eric Deutsch, Charlotte Robert
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-17 (2022)
Abstract The use of multicentric data is becoming essential for developing generalizable radiomic signatures. In particular, Magnetic Resonance Imaging (MRI) data used in brain oncology are often heterogeneous in terms of scanners and acquisitions, w
Externí odkaz:
https://doaj.org/article/7198f5a960964eec8c2cd74352f9abe5
Autor:
Caroline Robert, Rui Jiang, Pierre-Antoine Laurent, Roger Sun, Eric Deutsch, Angela Rouyar, Alexandre Carré, Charlotte Robert, Severine Roy, Emilie Routier, Théophraste Henry, Adrien Laville, Anthony Hamaoui, Marvin Lerousseau, Jade Briend-Diop, Kanta Ka, Nawal Temar
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 10, Iss 10 (2022)
Purpose While there is still a significant need to identify potential biomarkers that can predict which patients are most likely to respond to immunotherapy treatments, radiomic approaches have shown promising results. The objectives of this study we
Externí odkaz:
https://doaj.org/article/82ca37afdf0e48119a590e43a2a67f39
Autor:
Roger Sun, Eric Deutsch, Cyrus Chargari, Alexandre Carré, Sophie Bockel, Charlotte Robert, Antonin Levy, Théophraste Henry, Adrien Laville, Anthony Hamaoui, Ines Chaffai
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 10, Iss 7 (2022)
Strong rationale and a growing number of preclinical and clinical studies support combining radiotherapy and immunotherapy to improve patient outcomes. However, several critical questions remain, such as the identification of patients who will benefi
Externí odkaz:
https://doaj.org/article/ce6b0ce5b89f4c57a77a23cc14c3d30a
Autor:
Alix de Causans, Alexandre Carré, Alexandre Roux, Arnault Tauziède-Espariat, Samy Ammari, Edouard Dezamis, Frederic Dhermain, Sylvain Reuzé, Eric Deutsch, Catherine Oppenheim, Pascale Varlet, Johan Pallud, Myriam Edjlali, Charlotte Robert
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
ObjectivesTo differentiate Glioblastomas (GBM) and Brain Metastases (BM) using a radiomic features-based Machine Learning (ML) classifier trained from post-contrast three-dimensional T1-weighted (post-contrast 3DT1) MR imaging, and compare its perfor
Externí odkaz:
https://doaj.org/article/baa77d49e80d436e888563b9842deef0
Autor:
Charles Ferte, Benjamin Frey, Markus Hecht, Rainer Fietkau, Nora Sundahl, Florian Putz, Andrea Lancia, Angela Rouyar, Marina Milic, Alexandre Carré, Enzo Battistella, Emilie Alvarez Andres, Stéphane Niyoteka, Edouard Romano, Jérôme Durand-Labrunie, Sophie Bockel, Rastilav Bahleda, Charlotte Robert, Celine Boutros, Maria Vakalopoulou, Nikos Paragios, Piet Ost, Udo Gaipl
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 8, Iss 2 (2020)
Externí odkaz:
https://doaj.org/article/9b4477e85ddc4435a00f1f314f401fe0
Autor:
Charles Ferte, Benjamin Frey, Markus Hecht, Rainer Fietkau, Nora Sundahl, Florian Putz, Andrea Lancia, Angela Rouyar, Marina Milic, Alexandre Carré, Enzo Battistella, Emilie Alvarez Andres, Stéphane Niyoteka, Edouard Romano, Jérôme Durand-Labrunie, Sophie Bockel, Rastilav Bahleda, Charlotte Robert, Celine Boutros, Maria Vakalopoulou, Nikos Paragios, Piet Ost, Udo Gaipl
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 8, Iss 2 (2020)
Background Combining radiotherapy (RT) with immuno-oncology (IO) therapy (IORT) may enhance IO-induced antitumor response. Quantitative imaging biomarkers can be used to provide prognosis, predict tumor response in a non-invasive fashion and improve
Externí odkaz:
https://doaj.org/article/231cb0065627444ebd7c169e765aa1cb
Autor:
Théo Estienne, Marvin Lerousseau, Maria Vakalopoulou, Emilie Alvarez Andres, Enzo Battistella, Alexandre Carré, Siddhartha Chandra, Stergios Christodoulidis, Mihir Sahasrabudhe, Roger Sun, Charlotte Robert, Hugues Talbot, Nikos Paragios, Eric Deutsch
Publikováno v:
Frontiers in Computational Neuroscience, Vol 14 (2020)
Image registration and segmentation are the two most studied problems in medical image analysis. Deep learning algorithms have recently gained a lot of attention due to their success and state-of-the-art results in variety of problems and communities
Externí odkaz:
https://doaj.org/article/5c3915bdf829480aa15d8fa0eb924aa6
Autor:
Romain-David Seban, Charlotte Robert, Laurent Dercle, Randy Yeh, Ariane Dunant, Sylvain Reuze, Antoine Schernberg, Roger Sun, Fabien Mignot, Marie Terroir, Martin Schlumberger, Christine Haie-Meder, Cyrus Chargari, Eric Deutsch
Publikováno v:
OncoImmunology, Vol 8, Iss 5 (2019)
The aim of this study was to evaluate if bone marrow (BM) SUVmax measured on pre-treatment 18F-FDG PET/CT predicts the clinical outcome of locally advanced cervical cancer (LACC). We recruited retrospectively patients with LACC who underwent staging
Externí odkaz:
https://doaj.org/article/6a1c3d7bdcb24be39b54485d1994d2f7