Browsing by Author "Ortega Martorell, Sandra"
Now showing items 1-5 of 5
-
A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases
Mocioiu, Victor; de Barros, Nuno M. Pedrosa; Ortega Martorell, Sandra; Slotboom, Johannes; Knecht, Urspeter; Arús, Carles; Vellido Alcacena, Alfredo; Julià Sapé, Margarida (I6doc.com, 2016)
Conference report
Open AccessMachine learning has provided, over the last decades, tools for knowledge extraction in complex medical domains. Most of these tools, though, are ad hoc solutions and lack the systematic approach that would be required to ... -
Convex non-negative matrix factorization for brain tumor delimitation from MRSI data
Ortega Martorell, Sandra; Lisboa, Paulo J.G.; Vellido Alcacena, Alfredo; Simoes, Rui V.; Pumarola, Martí; Julià Sapé, Margarida; Arús, Carles (2012-10-23)
Article
Open Access -
Discovering hidden pathways in bioinformatics
Lisboa, Paulo J.G.; Jarman, Ian H.; Etchells, Terence A.; Chambers, Simon J.; Bacciu, Davide; Whittaker, Joe; Garibaldi, Jon M.; Ortega Martorell, Sandra; Vellido Alcacena, Alfredo; Ellis, Ian O. (Springer, 2012)
Part of book or chapter of book
Restricted access - publisher's policy -
Discriminant convex non-negative matrix factorization for the classification of human brain tumours
Vilamala Muñoz, Albert; Lisboa, Paulo J G; Ortega Martorell, Sandra; Vellido Alcacena, Alfredo (2013-10-15)
Article
Restricted access - publisher's policyThe medical analysis of human brain tumours commonly relies on indirect measurements. Among these, magnetic resonance imaging (MRI) and spectroscopy (MRS) predominate in clinical settings as tools for diagnostic assistance. ... -
Extraction of artefactual MRS patterns from a large database using non-negative matrix factorization
Hernández Villegas, Yanisleydis; Ortega Martorell, Sandra; Arus Caraltó, Carles; Vellido Alcacena, Alfredo; Julia Sape, Margarida (2019-12-02)
Article
Open AccessDespite the success of automated pattern recognition methods in problems of human brain tumor diagnostic classification, limited attention has been paid to the issue of automated data quality assessment in the field of MRS ...