Sandra Ortega-Martorell
Sandra Ortega-Martorell
Senior Lecturer in Applied Mathematics, Liverpool John Moores University
Verified email at - Homepage
TitleCited byYear
SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system
S Ortega-Martorell, I Olier, M Juliŕ-Sapé, C Arús
BMC bioinformatics 11 (1), 106, 2010
Convex non-negative matrix factorization for brain tumor delimitation from MRSI data
S Ortega-Martorell, PJG Lisboa, A Vellido, RV Simoes, M Pumarola, ...
PLoS One 7 (10), 2012
Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours
S Ortega-Martorell, PJG Lisboa, A Vellido, M Juliŕ-Sapé, C Arús
BMC bioinformatics 13 (1), 38, 2012
A novel semi-supervised methodology for extracting tumor type-specific mrs sources in human brain data
S Ortega-Martorell, H Ruiz, A Vellido, I Olier, E Romero, M Juliŕ-Sapé, ...
PloS one 8 (12), e83773, 2013
Improving the classification of brain tumors in mice with Perturbation Enhanced (PE)-MRSI
RV Simőes, S Ortega-Martorell, T Delgado-Gońi, Y Le Fur, M Pumarola, ...
Integrative Biology 4 (2), 183-191, 2012
A Novel approach for predicting monthly water demand by combining singular spectrum analysis with neural networks
SL Zubaidi, J Dooley, RM Alkhaddar, M Abdellatif, H Al-Bugharbee, ...
Journal of hydrology 561, 136-145, 2018
Intelligent contracting agents language
S Panagiotidi, J Vázquez-Salceda, S Alvarez-Napagao, ...
Behaviour Regulation in MAS, AISB, 49-55, 2008
MRSI‐based molecular imaging of therapy response to temozolomide in preclinical glioblastoma using source analysis
T Delgado‐Gońi, S Ortega‐Martorell, M Ciezka, I Olier, AP Candiota, ...
NMR in Biomedicine 29 (6), 732-743, 2016
Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours
A Vilamala, PJG Lisboa, S Ortega-Martorell, A Vellido
Pattern Recognition Letters 34 (14), 1734-1747, 2013
Spectral decomposition methods for the analysis of MRS information from human brain tumors
S Ortega-Martorell, A Vellido, PJG Lisboa, M Juliŕ-Sapé, C Arús
The 2011 International Joint Conference on Neural Networks, 3279-3284, 2011
From raw data to data-analysis for magnetic resonance spectroscopy–the missing link: jMRUI2XML
V Mocioiu, S Ortega-Martorell, I Olier, M Jablonski, J Starcukova, P Lisboa, ...
BMC bioinformatics 16 (1), 378, 2015
Towards interpretable classifiers with blind signal separation
H Ruiz, S Ortega-Martorell, IH Jarman, A Vellido, JD Martín, E Romero, ...
International Joint Conference on Neural Networks (IJCNN), 2012
Pattern recognition analysis of MR spectra
S Ortega‐Martorell, M Juliŕ‐Sapé, P Lisboa, C Arús
EMagRes, 945-958, 2007
Automatic relevance source determination in human brain tumors using Bayesian NMF
S Ortega-Martorell, I Olier, M Juliŕ-Sapé, C Arús, P Lisboa
2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 99-104, 2014
On the use of advanced pattern recognition techniques for the analysis of MRS and MRSI data in neuro-oncology
S Ortega-Martorell
Universitat Autňnoma de Barcelona,, 2014
A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases
V Mocioiu, NMP De Barros, S Ortega-Martorell, J Slotboom, U Knecht, ...
ESANN 2016-24th European Symposium on Artificial Neural Networks, 2016
Constructing similarity networks using the Fisher information metric
S Ortega-Martorell, I Jarman, JD Martín-Guerrero, P Lisboa
Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis.
S Ortega-Martorell, I Olier, A Vellido, M Julia-Sapé, C Arús
ESANN, 2010
Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy
S Ortega-Martorell, I Olier, T Delgado-Gońi, M Ciezka, M Juliŕ-Sapá, ...
2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 93-98, 2014
Brain tumor pathological area delimitation through Non-negative Matrix Factorization
S Ortega-Martorell, PJG Lisboa, A Vellido, RV Simőes, M Julia-Sape, ...
2011 IEEE 11th International Conference on Data Mining Workshops, 1058-1063, 2011
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