Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Marek Kasztelnik"'
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:
Marek Kasztelnik, Marian Bubak
Publikováno v:
Computer Science, Vol 12, p 33 (2011)
The growing number of resources available to researchers in the e-Science domain has openednew possibilities for constructing complex scientific applications while at the same timeintroducing new requirements for tools which assist developers in crea
Externí odkaz:
https://doaj.org/article/8e0d4591626c4c5ab10d143c3a76f933
Publikováno v:
International Journal for Numerical Methods in Biomedical Engineering. 38
In silico, medicine models are frequently used to represent a phenomenon across multiples space-time scales. Most of these multiscale models require impracticable execution times to be solved, even using high performance computing systems, because ty
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
Autor:
M. J. M. M. Hoeijmakers, Marek Kasztelnik, D.A. Silva Soto, F.N. van de Vosse, D. R. Hose, Irina Waechter-Stehle, Jürgen Weese
Publikováno v:
Journal of Biomechanics, 94, 49-58. Elsevier
Aortic valve stenosis is associated with an elevated left ventricular pressure and transaortic pressure drop. Clinicians routinely use Doppler ultrasound to quantify aortic valve stenosis severity by estimating this pressure drop from blood velocity.
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030598501
ISC Workshops
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
ISC Workshops
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
[EN] This paper describes an approach to integrate the jobs management of High Performance Computing (HPC) infrastructures in cloud architectures by managing HPC workloads seamlessly from the cloud job scheduler. The paper presents hpc-connector, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e73e4b8e0c144bdc3ccb079b5c18d4d5
https://hdl.handle.net/10251/179810
https://hdl.handle.net/10251/179810
Autor:
Bartosz Kwolek, Bartosz Balis, Marek Kasztelnik, Piotr Nowakowski, Robert Brzoza-Woch, Piotr Nawrocki, Krzysztof Zieliński, Marian Bubak, Tomasz Szydlo
Publikováno v:
Future Generation Computer Systems. 79:128-143
Modern environmental monitoring and decision support systems are based on complex IT infrastructures comprising multiple hardware and software subsystems that need to provide a variety of Quality of Service (QoS) guarantees required for urgent comput
Autor:
Piotr Nowakowski, Ernesto Coto, Debora Testi, Marian Bubak, Maciej Malawski, Alfredo Saglimbeni, Alejandro F. Frangi, Marek Kasztelnik, Juan Arenas
Publikováno v:
Computer Methods and Programs in Biomedicine
Background and objective: To address the increasing need for collaborative endeavours within the Virtual Physiological Human (VPH) community, the VPH-Share collaborative cloud platform allows researchers to expose and share sequences of complex biome
Autor:
Bartosz Balis, Marek Kasztelnik, Piotr Nowakowski, Maciej Pawlik, Daniel Harezlak, Tomasz Bartynski, Maciej Malawski, Marian Bubak, Bartosz Wilk
Publikováno v:
ICCS
Real-time disaster management and decision support systems rely on complex deadline-driven simulations and require advanced middleware services to ensure that the requested deadlines are met. In this paper we propose a reference architecture of an in
Autor:
Piotr Nowakowski, Bartosz Wilk, Maciej Malawski, Maciej Pawlik, Marian Bubak, Bartosz Balis, Marek Kasztelnik
Publikováno v:
ICCS
We present a resource provisioning and execution management solution for a flood decision support system. The system, developed within the ISMOP project, features an urgent computing scenario in which flood threat assessment for large sections of lev