Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Magdalena Kogut-Czarkowska"'
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:
Ivan Lazic, Ferran Agullo, Susanna Ausso, Bruno Alves, Caroline Barelle, Josep Ll. Berral, Paschalis Bizopoulos, Oana Bunduc, Ioanna Chouvarda, Didier Dominguez, Dimitrios Filos, Alberto Gutierrez-Torre, Iman Hesso, Nikša Jakovljević, Reem Kayyali, Magdalena Kogut-Czarkowska, Alexandra Kosvyra, Antonios Lalas, Maria Lavdaniti, Tatjana Loncar-Turukalo, Sara Martinez-Alabart, Nassos Michas, Shereen Nabhani-Gebara, Andreas Raptopoulos, Yiannis Roussakis, Evangelia Stalika, Chrysostomos Symvoulidis, Olga Tsave, Konstantinos Votis, Andreas Charalambous
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8755 (2022)
Finding new ways to cost-effectively facilitate population screening and improve cancer diagnoses at an early stage supported by data-driven AI models provides unprecedented opportunities to reduce cancer related mortality. This work presents the INC
Externí odkaz:
https://doaj.org/article/58fd8c5f904740d2bdadb36efa270fda
Autor:
Kondylakis, Haridimos1 (AUTHOR) kondylak@ics.forth.gr, Catalan, Rocio2 (AUTHOR), Alabart, Sara Martinez3 (AUTHOR), Barelle, Caroline4 (AUTHOR), Bizopoulos, Paschalis5 (AUTHOR), Bobowicz, Maciej6 (AUTHOR), Bona, Jonathan7 (AUTHOR), Fotiadis, Dimitrios I.8 (AUTHOR), Garcia, Teresa9 (AUTHOR), Gomez, Ignacio2 (AUTHOR), Jimenez-Pastor, Ana10 (AUTHOR), Karatzanis, Giannis1 (AUTHOR), Lekadir, Karim11 (AUTHOR), Kogut-Czarkowska, Magdalena12 (AUTHOR), Lalas, Antonios5 (AUTHOR), Marias, Kostas1 (AUTHOR), Marti-Bonmati, Luis13 (AUTHOR), Munuera, Jose10 (AUTHOR), Nikiforaki, Katerina1 (AUTHOR), Pelissier, Manon14 (AUTHOR)
Publikováno v:
Insights into Imaging. 5/31/2024, Vol. 15 Issue 1, p1-8. 8p.
Autor:
Kondylakis, Haridimos, Kalokyri, Varvara, Sfakianakis, Stelios, Marias, Kostas, Tsiknakis, Manolis, Jimenez-Pastor, Ana, Camacho-Ramos, Eduardo, Blanquer, Ignacio, Segrelles, J. Damian, López-Huguet, Sergio, Barelle, Caroline, Kogut-Czarkowska, Magdalena, Tsakou, Gianna, Siopis, Nikolaos, Sakellariou, Zisis, Bizopoulos, Paschalis, Drossou, Vicky, Lalas, Antonios, Votis, Konstantinos, Mallol, Pedro
Publikováno v:
European Radiology Experimental; 5/8/2023, Vol. 7 Issue 1, p1-13, 13p
Autor:
Lazic, Ivan, Agullo, Ferran, Ausso, Susanna, Alves, Bruno, Barelle, Caroline, Berral, Josep Ll., Bizopoulos, Paschalis, Bunduc, Oana, Chouvarda, Ioanna, Dominguez, Didier, Filos, Dimitrios, Gutierrez-Torre, Alberto, Hesso, Iman, Jakovljević, Nikša, Kayyali, Reem, Kogut-Czarkowska, Magdalena, Kosvyra, Alexandra, Lalas, Antonios, Lavdaniti, Maria, Loncar-Turukalo, Tatjana
Publikováno v:
Applied Sciences (2076-3417); Sep2022, Vol. 12 Issue 17, p8755, 29p
Autor:
Clemons, Eric K, Teilmann-Lock, Stina
Publikováno v:
Journal of Intellectual Property Law & Practice; Feb2022, Vol. 17 Issue 2, p149-163, 15p
Autor:
John Soldatos, Dimosthenis Kyriazis
This open access book presents how cutting-edge digital technologies like Big Data, Machine Learning, Artificial Intelligence (AI), and Blockchain are set to disrupt the financial sector. The book illustrates how recent advances in these technologies
The book deals with the effective operation of the rules related to biomedical research and pays attention to the activities of the national legislatures of the 27 Member States in the field of scientific research. This multilevel system has an impac
Autor:
Justine Pila
Carefully authored by Justine Pila, this significantly revised and expanded third edition of Catherine Seville's classic text, presents a thorough and detailed treatise on EU intellectual property (IP) law, taking into account the many developments i