Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Karine Seymour"'
Autor:
Haridimos Kondylakis, Rocio Catalan, Sara Martinez Alabart, Caroline Barelle, Paschalis Bizopoulos, Maciej Bobowicz, Jonathan Bona, Dimitrios I. Fotiadis, Teresa Garcia, Ignacio Gomez, Ana Jimenez-Pastor, Giannis Karatzanis, Karim Lekadir, Magdalena Kogut-Czarkowska, Antonios Lalas, Kostas Marias, Luis Marti-Bonmati, Jose Munuera, Katerina Nikiforaki, Manon Pelissier, Fred Prior, Michael Rutherford, Laure Saint-Aubert, Zisis Sakellariou, Karine Seymour, Thomas Trouillard, Konstantinos Votis, Manolis Tsiknakis
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-8 (2024)
Abstract Artificial intelligence (AI) is revolutionizing the field of medical imaging, holding the potential to shift medicine from a reactive “sick-care” approach to a proactive focus on healthcare and prevention. The successful development of A
Externí odkaz:
https://doaj.org/article/f7384a2ef8654d549797dd949a48e4b4
Autor:
Haridimos Kondylakis, Varvara Kalokyri, Stelios Sfakianakis, Kostas Marias, Manolis Tsiknakis, Ana Jimenez-Pastor, Eduardo Camacho-Ramos, Ignacio Blanquer, J. Damian Segrelles, Sergio López-Huguet, Caroline Barelle, Magdalena Kogut-Czarkowska, Gianna Tsakou, Nikolaos Siopis, Zisis Sakellariou, Paschalis Bizopoulos, Vicky Drossou, Antonios Lalas, Konstantinos Votis, Pedro Mallol, Luis Marti-Bonmati, Leonor Cerdá Alberich, Karine Seymour, Samuel Boucher, Esther Ciarrocchi, Lauren Fromont, Jordi Rambla, Alexander Harms, Andrea Gutierrez, Martijn P. A. Starmans, Fred Prior, Josep Ll. Gelpi, Karim Lekadir
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-13 (2023)
Abstract Artificial intelligence (AI) is transforming the field of medical imaging and has the potential to bring medicine from the era of ‘sick-care’ to the era of healthcare and prevention. The development of AI requires access to large, comple
Externí odkaz:
https://doaj.org/article/a9710911be714bd29067ed9733586a3c
Autor:
Luis Martí-Bonmatí, Ángel Alberich-Bayarri, Ruth Ladenstein, Ignacio Blanquer, J. Damian Segrelles, Leonor Cerdá-Alberich, Polyxeni Gkontra, Barbara Hero, J. M. García-Aznar, Daniel Keim, Wolfgang Jentner, Karine Seymour, Ana Jiménez-Pastor, Ismael González-Valverde, Blanca Martínez de las Heras, Samira Essiaf, Dawn Walker, Michel Rochette, Marian Bubak, Jordi Mestres, Marco Viceconti, Gracia Martí-Besa, Adela Cañete, Paul Richmond, Kenneth Y. Wertheim, Tomasz Gubala, Marek Kasztelnik, Jan Meizner, Piotr Nowakowski, Salvador Gilpérez, Amelia Suárez, Mario Aznar, Giuliana Restante, Emanuele Neri
Publikováno v:
European Radiology Experimental, Vol 4, Iss 1, Pp 1-11 (2020)
Abstract PRIMAGE is one of the largest and more ambitious research projects dealing with medical imaging, artificial intelligence and cancer treatment in children. It is a 4-year European Commission-financed project that has 16 European partners in t
Externí odkaz:
https://doaj.org/article/05e720491a5543918fb8093e96ef6ca4
Autor:
Luis Martí Bonmatí, Ana Miguel, Amelia Suárez, Mario Aznar, Jean Paul Beregi, Laure Fournier, Emanuele Neri, Andrea Laghi, Manuela França, Francesco Sardanelli, Tobias Penzkofer, Phillipe Lambin, Ignacio Blanquer, Marion I. Menzel, Karine Seymour, Sergio Figueiras, Katharina Krischak, Ricard Martínez, Yisroel Mirsky, Guang Yang, Ángel Alberich-Bayarri
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
The CHAIMELEON project aims to set up a pan-European repository of health imaging data, tools and methodologies, with the ambition to set a standard and provide resources for future AI experimentation for cancer management. The project is a 4 year lo
Externí odkaz:
https://doaj.org/article/12467a2a0e6b4c53a8d3848b77fd9fd8
Autor:
Giuliana Restante, Luis Martí-Bonmatí, Mario Aznar, Michel Rochette, Piotr Nowakowski, Daniel A. Keim, Angel Alberich-Bayarri, Marian Bubak, Marek Kasztelnik, Polyxeni Gkontra, Tomasz Gubała, Dawn Walker, Samira Essiaf, José Manuel García-Aznar, Wolfgang Jentner, Blanca Martínez de las Heras, J. Damian Segrelles, Adela Cañete, Kenneth Y. Wertheim, Jan Meizner, Jordi Mestres, Gracia Martí-Besa, Paul Richmond, Amelia Suárez, Ignacio Blanquer, Ana Jimenez-Pastor, Barbara Hero, Salvador Gilpérez, Karine Seymour, Marco Viceconti, Ruth Ladenstein, Ismael González-Valverde, Leonor Cerdá-Alberich, Emanuele Neri
Publikováno v:
European Radiology Experimental, Vol 4, Iss 1, Pp 1-11 (2020)
European Radiology Experimental
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
Zaguán: Repositorio Digital de la Universidad de Zaragoza
Universidad de Zaragoza
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
European Radiology Experimental
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
Zaguán: Repositorio Digital de la Universidad de Zaragoza
Universidad de Zaragoza
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
[EN] PRIMAGE is one of the largest and more ambitious research projects dealing with medical imaging, artificial intelligence and cancer treatment in children. It is a 4-year European Commission-financed project that has 16 European partners in the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6368b88c7deabf2a74e68ee097c5a587
http://link.springer.com/article/10.1186/s41747-020-00150-9
http://link.springer.com/article/10.1186/s41747-020-00150-9
Autor:
Ignacio Blanquer, Damian Segrelles, Sergio López-Huguet, Pau Lozano, Andrei Stefan Alic, Karine Seymour, Thomas Trouillard, Samuel Boucher, Ricard Martínez, Francisco Soriano, Ana Jiménez-Pastor, Manuel Suárez Taboada, Miguel Boubeta Martínez, Juan Prieto-Pena, Ana Miguel Blanco, Gloria Ribas, Amelia Suarez, Guang Yang, Nan Yang, Yisroel Mirsky
One of the objectives of CHAIMELEON project is to design an EU-wide interoperablerepository (CHAIMELEON Repository). The repository will provide storage resources to share health images, related clinical and molecular data from pathologic and liquid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f6f4e60ac51358defa595427a3d616f
Publikováno v:
Imagerie de la Femme. 29:62-71
Resume L’intelligence artificielle et l’exploration de donnees font l’objet d’un nombre exponentiel de travaux ces dernieres annees, laissant entrevoir des avancees majeures en imagerie medicale, dans de nombreuses applications. L’extractio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b6d74b9db1b8f04bb5a81976e26cbd2
https://doi.org/10.1016/j.femme.2019.04.004
https://doi.org/10.1016/j.femme.2019.04.004