Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Maria Vakalopoulou"'
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:
Mohammed Dabboor, Junye Xu, Maria Vakalopoulou, Stéphane Bélair, Jarrett Powers, Marco Carrera, Leqiang Sun
Publikováno v:
Canadian Journal of Remote Sensing, Vol 50, Iss 1 (2024)
The RADARSAT Constellation Mission (RCM) performance evaluation is currently in progress for core Synthetic Aperture Radar (SAR) applications. This study aims to investigate the retrieval of Soil Moisture Content (SMC) in bare soil with RCM compact p
Externí odkaz:
https://doaj.org/article/43e10316dfec4d26bbe9d98259cf1e19
Autor:
Stefania Chounta, Rodrigue Allodji, Maria Vakalopoulou, Mahmoud Bentriou, Duyen Thi Do, Florent De Vathaire, Ibrahima Diallo, Brice Fresneau, Thibaud Charrier, Vincent Zossou, Stergios Christodoulidis, Sarah Lemler, Veronique Letort Le Chevalier
Publikováno v:
Cancers, Vol 15, Iss 12, p 3107 (2023)
Valvular Heart Disease (VHD) is a known late complication of radiotherapy for childhood cancer (CC), and identifying high-risk survivors correctly remains a challenge. This paper focuses on the distribution of the radiation dose absorbed by heart tis
Externí odkaz:
https://doaj.org/article/767e702771d1427396896425a1ac49d6
Autor:
Clara Vigneron, Othmane Laousy, Guillaume Chassagnon, Maria Vakalopoulou, Julien Charpentier, Jérôme Alexandre, Matthieu Jamme, Frédéric Pène
Publikováno v:
Cancers, Vol 14, Iss 23, p 5870 (2022)
Simple and accessible prognostic factors are paramount for solid cancer patients experiencing life-threatening complications. The aim of this study is to appraise the impact of functional and nutritional status and skeletal muscle mass in this popula
Externí odkaz:
https://doaj.org/article/a9a0122ad0c34de28fcaf9cffff09455
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
Publikováno v:
Remote Sensing, Vol 13, Iss 7, p 1294 (2021)
Image registration is among the most popular and important problems of remote sensing. In this paper we propose a fully unsupervised, deep learning based multistep deformable registration scheme for aligning pairs of satellite imagery. The presented
Externí odkaz:
https://doaj.org/article/ddaac95b615d4138ba611480ae14e36a
Publikováno v:
Remote Sensing, Vol 6, Iss 4, Pp 3409-3426 (2014)
Frame hyperspectral sensors, in contrast to push-broom or line-scanning ones, produce hyperspectral datasets with, in general, better geometry but with unregistered spectral bands. Being acquired at different instances and due to platform motion and
Externí odkaz:
https://doaj.org/article/6264b9d887554c51b2f9dd9e7df85e0a
Publikováno v:
Remote Sensing, Vol 11, Iss 6, p 684 (2019)
Deep learning architectures have received much attention in recent years demonstrating state-of-the-art performance in several segmentation, classification and other computer vision tasks. Most of these deep networks are based on either convolutional
Externí odkaz:
https://doaj.org/article/3cd1fb1978364ecfb4d406d362593a60