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Listar por autor "Vicente Robledo, Javier"

Mostrando ítems 1-11 de 11

A generic and extensible automatic classification framework applied to brain tumour diagnosis in HealthAgents

Sáez Silvestre, Carlos; García Gómez, Juan Miguel; Vicente Robledo, Javier; Tortajada Velert, Salvador; Luts, Jan; Dupplaw, David; Van Huffel, Sabine; Robles Viejo, Montserrat (Cambridge University Press (CUP), 2011-09)

[EN] New biomedical technologies enable the diagnosis of brain tumours by using non-invasive methods. HealthAgents is a European Union-funded research project that aims to build an agent-based distributed decision support ...
Accurate classification of childhood brain tumours by in vivo 1H MRS - a multi-centre study

Vicente Robledo, Javier; Fuster García, Elíes; Tortajada Velert, Salvador; García Gómez, Juan Miguel; Davies, Nigel; Natarajan, Kal; Wilson, Martin; Grundy, Richard G.; Wesseling, Pieter; Monleón, Daniel; Celda, Bernardo; Robles, Montserrat; Peet, Andrew C. (Elsevier, 2013-02)

Aims: To evaluate the accuracy of single-voxel Magnetic Resonance Spectroscopy (1H-MRS) as a non-invasive diagnostic aid for pediatric brain tumours in a multi-national study. Our hypotheses are (1) that automated cla ...
An HL7-CDA wrapper for facilitating semantic interoperability to rule-based Clinical Decision Support Systems

Sáez Silvestre, Carlos; Bresó Guardado, Adrián; Vicente Robledo, Javier; Robles Viejo, Montserrat; García Gómez, Juan Miguel (Elsevier, 2013-03)

The success of Clinical Decision Support Systems (CDSS) greatly depends on its capability of being integrated in Health Information Systems (HIS). Several proposals have been published up to date to permit CDSS gathering ...
Analysis of mobile health applications for a broad spectrum of consumers: A user experience approach

Garcia-Gomez, Juan M; de la Torre Díez, Isabel; Vicente Robledo, Javier; Robles Viejo, Montserrat; Lopez-Coronado, Miguel; Rodrigues, Joel J. (SAGE Publications, 2014-03)

[EN] Mobile health (m-health) apps can bring health prevention and promotion to the general population. The main purpose of this article is to analyze different m-health apps for a broad spectrum of consumers by means of ...
Clinical Decision Support Systems for Brain Tumour Diagnosis: Classification and Evaluation Approaches

Vicente Robledo, Javier (Editorial Universitat Politècnica de València, 2012-10-15)

A lo largo de las últimas décadas, la disponibilidad cada vez mayor de grandes cantidades de información biomédica ha potenciado el desarrollo de herramientas que permiten extraer e inferir conocimiento. El aumento de ...
Compatibility between 3T 1H SV-MRS data and automatic brain tumour diagnosis support systems based on databases of 1.5T 1H SV-MRS spectra

Fuster García, Elíes; Navarro., Clara; Vicente Robledo, Javier; Tortajada Velert, Salvador; García Gómez, Juan Miguel; Sáez Silvestre, Carlos; Calvar ., Jorge; Griffiths ., John; Julia Sape, Margarita; Howe ., Franklyn A; Pujol ., Jesús; Peet ., Andrew C; Heerschap ., Arend; Moreno Torres, Àngel; Martínez-Bisbal, M.Carmen; Martinez Granados, Beatriz; Wesseling ., Pieter; Semmler ., Wolfhard; Capellades ., Jaume; Majós ., Carles; Alberich Bayarri, Ángel; Capdevila ., Antoni; Monleón ., Daniel; Marti Bonmati, Luis; Arús ., Carles; Celda ., Bernardo; Robles Viejo, Montserrat (Springer Verlag (Germany), 2011-02)

Object: This study demonstrates that 3T SV-MRS data can be used with the currently available automatic brain tumour diagnostic classifiers which were trained on databases of 1.5T spectra. This will allow the existing large ...
Corpus based learning of stochastic, context-free grammars combined with Hidden Markov Models for tRNA modelling

García Gómez, Juan Miguel; Benedí Ruiz, José Miguel; Vicente Robledo, Javier; Robles Viejo, Montserrat (Inderscience, 2005)

[EN] In this paper, a new method for modelling tRNA secondary structures is presented. This method is based on the combination of stochastic context-free grammars (SCFG) and Hidden Markov Models (HMM). HMM are used to ...
Extracting MRS discriminant functional features of brain tumors

Fuster García, Elíes; Tortajada Velert, Salvador; Vicente Robledo, Javier; Robles Viejo, Montserrat; García Gómez, Juan Miguel (Wiley-Blackwell, 2013-05)

The current challenge in automatic brain tumor classification based on MRS is the improvement of the robustness of the classification models that explicitly account for the probable breach of the independent and identically ...
Incremental gaussian discriminant analysis based on graybill and deal weighted combination of estimators for brain tumour diagnosis

Tortajada Velert, Salvador; Fuster García, Elíes; Vicente Robledo, Javier; Wesseling, Pieter; Howe, Franklyn; Julià-Sapé, Margarida; Candiota, Ana-Paula; Monleón, Daniel; Moreno-Torres, Àngel; Pujol, Jesús; Griffiths, Jonh R.; Wright, Alan; Peet, Andrew C.; Martínez-Bisbal, M. Carmen; Celda, Bernardo; Arús, Carles; Robles Viejo, Montserrat; García Gómez, Juan Miguel (Elsevier, 2011-08)

In the last decade, machine learning (ML) techniques have been used for developing classifiers for automatic brain tumour diagnosis. However, the development of these ML models rely on a unique training set and learning ...
Multiproject-multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy

Garcia-Gomez, Juan M; Luts, Jan; Julia-Sape, Margarida; Krooshof, Patrick; Tortajada Velert, Salvador; Vicente Robledo, Javier; Melssen, Willem; Fuster García, Elíes; Olier, Ivan; Postma, Geert; Monleon, Daniel; Moreno-Torres, Angel; Pujol, Jesus; Candiota, Ana-Paula; Martínez-Bisbal, M.Carmen; Suykens, Johan; Buydens, Lutgarde; Celda, Bernardo; Van Huffel, Sabine; Arus, Carles; Robles Viejo, Montserrat (Springer-Verlag, 2009-02)

[EN] Automatic brain tumor classification by MRS has been under development for more than a decade. Nonetheless, to our knowledge, there are no published evaluations of predictive models with unseen cases that are subsequently ...
Prediction of Postpartum Depression Using Multilayer Perceptrons and Pruning

Tortajada, S.; Garcia-Gomez, Juan M; Vicente, J.; Sanjuán, J.; de Frutos, R.; Martín-Santos, R.; García-Esteve, L.; Gornemann, I.; Gutiérrez-Zotes, A.; Canellas, F.; Carracedo, A.; Gratacos, M.; Guillamat, R.; Baca-García, E.; Robles Viejo, Montserrat (Schattauer GmbH (Methods of Information in Medicine), 2009)

[EN] Objective: The main goal of this paper is to obtain a classification model based on feed-forward multilayer perceptrons in order to improve postpartum depression prediction during the 32 weeks after childbirth with a ...