Digital Medical Imaging is increasingly being used in clinical routine and research. As a consequence, the workload in medical imaging departments in hospitals has multiplied by over 20 in the last decade. Medical Image ...
Segrelles Quilis, José Damián; Moltó, Germán; Blanquer Espert, Ignacio(Elsevier, 2021-09)
[EN] Training on Grid technologies has traditionally used existing Grid infrastructures to implement the hands-on education activities. However, these infrastructures are insufficient to develop all training skills as they ...
Blanquer Espert, Ignacio; Caballer Fernández, Miguel; Martí-Bonmatí, Luis; Alberich Bayarri, Ángel; De la Iglesia Vayá, Maria de los Desamparados; Martínez, Jacobo(Inderscience, 2015)
This article describes the software architecture designed to cope with the computing demand of research usage of complex data from the imaging biobank of the Regional Ministry of Health in the Valencia Region (CS). It ...
In the context of computed tomography (CT), iterative image reconstruction techniques are gaining attention because high-quality images are becoming computationally feasible. They involve the solution of large systems of ...
[EN] The increased accuracy and exhaustivity of modern Artificial Intelligence techniques in supporting the analysis of complex data, such as medical images, have exponentially increased real-world data collection for ...
The work described in this paper tackles the problem of data mining and classification of large amounts of data using the K nearest neighbours classifier (KNN) [1]. The large computing demand of this process is solved with ...
This paper presents a software platform to dynamically deploy complex scientific virtual computing infrastructures, on top of Infrastructure as a Service (IaaS) Clouds. The platform orchestrates different services to ...
The main advantage of Grid computing over other distributed computing paradigms is its capability to coordinate the access to data and resources in a virtual multi-institutional environment. To this end, the information ...
López-Huguet, Sergio; Pérez-González, Alfonso María; Calatrava Arroyo, Amanda; Alfonso Laguna, Carlos De; Caballer Fernández, Miguel; Moltó, Germán; Blanquer Espert, Ignacio(Elsevier, 2019)
[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 ...
[EN] Serverless computing and, in particular, the functions as a service model has become a convincing paradigm for the development and implementation of highly scalable applications in the cloud. This is due to the ...
[EN]
Open Science is a paradigm in which scientific data, procedures, tools and results are shared transparently and reused by society. The European Open Science Cloud (EOSC) initiative is an effort in Europe to provide ...
This paper describes a methodology for redesigning the clinical processes to manage diagnosis, follow-up, and response to treatment episodes of breast cancer. This methodology includes three fundamental elements: (1) ...
Naranjo-Delgado, Diana María; Risco, Sebastián; Alfonso Laguna, Carlos De; Pérez-González, Alfonso María; Blanquer Espert, Ignacio; Moltó, Germán(Elsevier, 2020-05)
[EN] This paper introduces a platform to support serverless computing for scalable event-driven data processing that features a multi-level elasticity approach combined with virtualization of GPUs. The platform supports ...
HPG Aligner applies suffix arrays for DNA read mapping. This implementation produces a highly sensitive and extremely fast mapping of DNA reads that scales up almost linearly with read length. The approach presented here ...
Roig Martinez, Tomàs(Universitat Politècnica de València, 2017-09-04)
[ES] Actualmente, la mayoría de compañías punteras lanzan sus productos en la
nube. Este concepto de nube viene dado por una aglomeración de servicios que
se pueden escalar, para ajustarse a la demanda de los usuarios.
En ...
Seide, David(Universitat Politècnica de València, 2012-07-31)
This project focuses on using GPGPUs for solving the inexact alignment of
short-reads with respect to a reference indexed using the Burrows-Wheeler
Transform. To be more speci c we dealt with a solution of an alignment ...
Perles Ivars, Angel; Pérez Marín, Eva; Mercado Romero, Ricardo; Segrelles Quilis, José Damián; Blanquer Espert, Ignacio; Zarzo Castelló, Manuel; García Diego, Fernando Juan(Elsevier, 2018)
[EN] Internet of Things (IoT) technologies can facilitate the preventive conservation of cultural heritage (CH) by enabling the management of data collected from electronic sensors. This work presents an IoT architecture ...
[EN] Smart urban transportation management can be considered as a multifaceted big data challenge. It strongly relies on the information collected into multiple, widespread, and heterogeneous data sources as well as on the ...
This article presents a Middleware based on Grid
Technologies that addresses the problem of sharing, transferring
and processing DICOM medical images in a distributed environment
using an ontological schema to create ...