Ignacio Blanquer

Ignacio Blanquer
Universitat Politècnica de València | UPV · Institute for Molecular Imaging Technologies (I3M)

Phd. in Informatics

About

172
Publications
24,179
Reads
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1,406
Citations
Citations since 2016
60 Research Items
866 Citations
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2016201720182019202020212022050100150
2016201720182019202020212022050100150
2016201720182019202020212022050100150
Additional affiliations
January 2008 - present
Universitat de València
January 2000 - December 2009
Education
June 2005
Universitat Politècnica de València
Field of study
  • Computer Science

Publications

Publications (172)
Preprint
Full-text available
Open Science is a paradigm in which scientific data, procedures, tools and results are shared transparently and reused by society as a whole. The initiative known as the European Open Science Cloud (EOSC) is an effort in Europe to provide an open, trusted, virtual and federated computing environment to execute scientific applications, and to store,...
Article
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 research purposes. This fact has led to the development of international repositories and high-performance computing solutions to deal wi...
Article
Full-text available
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 long, EU-funded project tackling some of the most ambitious research in the fields of biomedical imagi...
Article
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 transparent management of three key functionalities: triggering of functions due to events, automatic provisioning and scalability of resou...
Article
Full-text available
This paper introduces an open-source platform to support serverless computing for scientific data-processing workflow-based applications across the Cloud continuum (i.e. simultaneously involving both on-premises and public Cloud platforms to process data captured at the edge). This is achieved via dynamic resource provisioning for FaaS platforms co...
Article
Full-text available
Training on Grid technologies have traditionally used existing Grid infrastructures to implement the hands-on education activities. However, these infrastructures are insufficient to develop all training skills as they can only be employed for the development of Grid applications, and they are limited for learning the management and configuration o...
Article
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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 consortium, including the European Society for Paediatric Oncology, two imaging biobanks, and three promin...
Article
Full-text available
Background eHealth interventions are widely used in clinical trials and increasingly in care settings as well; however, their efficacy in real-world contexts remains unknown. ReMindCare is a smartphone app that has been systematically implemented in a first episode of psychosis program (FEPP) for patients with early psychosis since 2018. Objective...
Chapter
Full-text available
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 open source tool that is designed for managing the full life cycle of jobs in the HPC infrastructure from...
Preprint
BACKGROUND e-Health interventions are widely used in clinical trials and increasingly care setting as well; however, their efficacy in real-world contexts remains unknown. ReMindCare is a smartphone application that has been systematically implemented in a First Episode of Psychosis Program (FEPP) for patients with Early Psychosis (EP) since 2018....
Article
Full-text available
Background Patients are clamming for more personalized and closer clinical attention (Bonet et al. 2018). To this end, we developed RemindCare app. The app conducts daily and weekly assessments and this information is used to prevent relapses, to improve the therapeutic alliance and it is automatically included at the electronic clinical record of...
Article
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 the execution of applications based on Docker containers in response to file uploads to a data storage in order to perform the data pro...
Article
Full-text available
Aim Despite the potential benefits of e‐health interventions for patients with psychosis, the integration of these applications into the clinical workflow and analysis of their long‐term effects still face significant challenges. To address these issues, we developed the ReMindCare app. This app aims to improve the treatment quality for patients wi...
Article
Medical data processing has found a new dimension with the extensive use of machine-learning techniques to classify and extract features. Machine learning strongly benefits from computing accelerators. However, such accelerators are not easily available at hospital premises, although they can be easily found on public cloud infrastructures or resea...
Article
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Marathon and Chronos are two popular Mesos frameworks widely used for deploying fault-tolerant services and periodic batch jobs. Marathon and Chronos provide mechanisms for horizontal elasticity, scaling up and down the number of job and service instances. Horizontal elasticity is appropriate when the problems that are solved are inherently paralle...
Article
Full-text available
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 ability to extract actionable insights from them. Besides data, full stack (from platform to services and applications) Information...
Conference Paper
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 processing requires intensive computing resources not available at hospitals, but which could be provided by public clouds. The ar...
Article
Full-text available
Background In spite of promising results of mobile Health (mHealth) interventions for patients with psychosis, integration of these appliances into clinical practice remains a significant challenge (Bonet et al. 2017). Moreover, some studies have pointed out that percentages between 19–38% of patients have had negative experiences related to intern...
Article
Full-text available
Computer clusters are widely used platforms to execute different computational workloads. Indeed, the advent of virtualization and Cloud computing has paved the way to deploy virtual elastic clusters on top of Cloud infrastructures, which are typically backed by physical computing clusters. In turn, the advances in Green computing have fostered the...
Article
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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 dependencies and configurations required to build up the cluster, and analyses the deployment times of dif...
Article
Full-text available
Analysis of public transportation data in large cities is a challenging problem. Managing data ingestion, data storage, data quality enhancement, modelling and analysis requires intensive computing and a non-trivial amount of resources. In EUBra-BIGSEA (Europe–Brazil Collaboration of Big Data Scientific Research Through Cloud-Centric Applications)...
Conference Paper
The increasing urban population sets new demands for mobility solutions. The impacts of traffic congestions or inefficient transit connectivity directly affect public health (e.g. emissions and stress) and the city economy (e.g. deaths in road accidents, productivity, and commuting). In parallel, the advance of technology has made it easier to obta...
Article
Full-text available
This paper describes the achievements of the H2020 project INDIGO-DataCloud. The project has provided e-infrastructures with tools, applications and cloud framework enhancements to manage the demanding requirements of scientific communities, either locally or through enhanced interfaces. The middleware developed allows to federate hybrid resources,...
Article
Full-text available
Background Developments in electronic health (e-Health) interventions for psychotic patients have been possible since the growing access and use of internet and electronic devices in past 10 years (Bonet et al. 2017). However, before proceeding further on develop these interventions; limited knowledge exists about the impact of internet and new tec...
Article
It is widely acknowledged that the development of sprays in the near-field is of primary importance for the spray formation downstream, as it affects both the spray angle, as well as the intact core length. In this frame, the present work aims to study the effects of turbulence inlet boundary condition on the spray formation by means of Direct Nume...
Article
Full-text available
Background: Despite a growing interest in the use of technology in order to support the treatment of psychotic disorders, limited knowledge exists about the viability and acceptability of these eHealth interventions in relation to the clinical characteristics of patients. Objective: The objective of this study was to assess the access and use of...
Article
Full-text available
Diffusion Weighted Imaging (DWI) methods (ADC and IVIM models) extract meaningful information about the microscopic motions of water of human tissues from MRIs. This is a non invasive method which plays an important role in the diagnosis of ischemic strokes, high grade gliomas or tumors.
Article
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Computed tomography (CT) is one of the most widely used methods in Medical Imaging. Despite of its relevance in the diagnosis of diseases with a high impact in our society (such as cancer), it is one of the most potentially harmful modalities. CT requires a high X-ray dose to be induced to the patients. Solving the CT Image Reconstruction problem i...
Article
Climate and biodiversity systems are closely linked across a wide range of scales. To better understand the mutual interaction between climate change and biodiversity there is a strong need for multidisciplinary skills, scientific tools, and access to a large variety of heterogeneous, often distributed, data sources. Related to that, the EUBrazilCl...
Article
Full-text available
This paper describes the achievements of the H2020 project INDIGO-DATACLOUD. The project has provided e-infrastructures with tools, applications and cloud framework enhancements to manage the demanding requirements of scientific communities, either locally or through enhanced interfaces enabling those infrastructures to become part of a federation...
Article
Scientific Workflows (SWFs) are widely used to model processes in e-Science. SWFs are executed by means of Workflow Management Systems (WMSs), which orchestrate the workload on top of computing infrastructures. The advent of cloud computing infrastructures has opened the door of using on-demand infrastructures to complement or even replace local in...
Article
Full-text available
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 for this purpose. Firstly, we discuss the requirements from the artwork standpoint, data acquisition, cloud processing and data visual...
Article
Full-text available
There is a growing interest in mobile Health interventions (m-Health) in patients with psychosis. The aim of this study is to conduct a systematic review in order to analyse the current state of research in this area. The search of articles was carried out following the PRISMA criteria, focusing on those studies that used mobile technologies in pat...
Conference Paper
After a sequence of creation and destruction of virtual machines (VMs) in an on-premises Cloud computing platform, the scheduling decisions to host the VMs are far from being optimal and the fragmentation of the physical resources may impede the platform to host some VMs despite the free available virtualization resources. This paper describes a Vi...
Article
Resumen Hay un creciente interés en las intervenciones mobile Health (m-Health) en pacientes con psicosis. El objetivo de este estudio es realizar una revisión sistemática para analizar el estado actual de la investigación en este ámbito. La búsqueda de publicaciones se llevó a cabo siguiendo los criterios PRISMA, centrándose en aquellos estudios q...
Preprint
Full-text available
Climate and biodiversity systems are closely interlaced across a wide range of scales. To better understand the mutual interaction between climate change and biodiversity there is a strong need for multidisciplinary skills, tools and a large variety of heterogeneous, distributed data sources. In this regard, the EUBrazilCloudConnect project provide...
Preprint
Full-text available
Climate and biodiversity systems are closely interlaced across a wide range of scales. To better understand the mutual interaction between climate change and biodiversity there is a strong need for multidisciplinary skills, tools and a large variety of heterogeneous, distributed data sources. In this regard, the EUBrazilCloudConnect project provide...
Article
Background: Radiology reports are commonly written on free-text using voice recognition devices. Structured reports (SR) have a high potential but they are usually considered more difficult to fill-in so their adoption in clinical practice leads to a lower efficiency. However, some studies have demonstrated that in some cases, producing SRs may re...
Article
Scientific workflows (SWFs) are widely used to model processes in e-Science. SWFs are executed by means of workflow management systems (WMSs), which orchestrate the workload on top of computing infrastructures. The advent of cloud computing infrastructures has opened the door of using on-demand infrastructures to complement or even replace local in...
Conference Paper
A case study on climate models intercomparison data analysis addressing several classes of multi-model experiments is being implemented in the context of the EU H2020 INDIGO-DataCloud project. Such experiments require the availability of large amount of data (multi-terabyte order) related to the output of several climate models simulations as well...
Article
Usually, the information known a priori about a newly sequenced organism is limited. Even resequencing the same organism can generate unpredictable output. We introduce MuffinInfo, a FastQ/Fasta/SAM information extractor implemented in HTML5 capable of offering insights into next-generation sequencing (NGS) data. Our new tool can run on any softwar...
Article
Full-text available
In this paper we describe the architecture of a Platform as a Service (PaaS) oriented to computing and data analysis. In order to clarify the choices we made, we explain the features using practical examples, applied to several known usage patterns in the area of HEP computing. The proposed architecture is devised to provide researchers with a unif...
Article
Full-text available
The sequencing market has increased steadily over the last few years, with different approaches to read DNA information prone to different types of errors. Multiple studies demonstrated the impact of sequencing errors on different applications of next-generation sequencing (NGS), making error correction a fundamental initial step. Different methods...
Article
Full-text available
As sequencing technologies progress, the amount of data produced grows exponentially, shifting the bottleneck of discovery towards the data analysis phase. In particular, currently available mapping solutions for RNA-seq leave room for improvement in terms of sensitivity and performance, hindering an efficient analysis of transcriptomes by massive...
Chapter
Many e-science initiatives are currently investigating the use of cloud computing to support all kinds of scientific activities. The objective of this chapter is to describe the architecture and the deployment of the EUBrazilCC federated e-infrastructure, a Research & Development project that aims at providing a user-centric test bench enabling Eur...
Article
Error correction is typically the first step of de Novo genome assembly from NGS data. This step has an important impact on the quality and speed of the assembly process. However, the majority of available stand-alone error correction solutions can only detect and correct mismatches. Therefore, these solutions only support correcting reads generate...
Conference Paper
Full-text available
The scientific experimentation is facing a data deluge in which the amount of data generated is reaching the order of terabytes per day, and thus huge capacity is required to process this data. Computationally, these processes are modelled using Scientific Workflows. However, the execution of a Scientific Workflow can be a complex and resource-dema...
Poster
Full-text available
The analysis of the input data offers useful insights for any further processing steps. Despite FastQ/Fasta/SAM statistics extraction systems (like FastQC) exist, they depend on the underlying platform or require dedicated servers. HTML5 is a web technology capable of providing great performance for online and/or offline software development. We pr...