Data infrastructures for AI in medical imaging: a report on the experiences of five EU projects

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

D4.1 Initial Repository Deployment

Autor: Ignacio Blanquer, Damià Segrelles, Pau Lozano, Sergio López Huguet, Andy S. Alic

The first version of the CHAIMELEON repository deployed includes a set of resources and services that fulfil the most important use cases identified. A cloud-based architecture has been defined, implemented and deployed on UPV’s cloud premises. The

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a509a0b1d052fe499cfde2ea801f4db4

Elastic, Interoperable and Container-based Cloud Infrastructures for High Performance Computing

Autor: Sergio López Huguet

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[ES] Las aplicaciones científicas implican generalmente una carga computacional variable y no predecible a la que las instituciones deben hacer frente variando dinámicamente la asignación de recursos en función de las distintas necesidades comput

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffb51b8beb92a1beace5b1022b5aaa8c
https://doi.org/10.4995/thesis/10251/172327

Seamlessly Managing HPC Workloads Through Kubernetes

Autor: Ignacio Blanquer, J. Damià Segrelles, Sergio López-Huguet, Marek Kasztelnik, Marian Bubak

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030598501
ISC Workshops
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[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

A Self-managed Mesos Cluster for Data Analytics with QoS Guarantees

Autor: Amanda Calatrava, Germán Moltó, Ignacio Blanquer, Sergio López-Huguet, Miguel Caballer, Alfonso Pérez, Carlos de Alfonso

Publikováno v: RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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[EN] This article describes the development of an automated configuration of a software platform for Data Analytics that supports horizontal and vertical elasticity to guarantee meeting a specific deadline. It specifies all the components, software d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b093e29c70cc276aaf87dc24b35e2236
https://hdl.handle.net/10251/127482