Salvador Tortajada
Salvador Tortajada
Instituto de Física Corpuscular
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Multiproject–multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy
JM García-Gómez, J Luts, M Julià-Sapé, P Krooshof, S Tortajada, ...
Magnetic Resonance Materials in Physics, Biology and Medicine 22 (1), 5, 2009
Accurate classification of childhood brain tumours by in vivo 1H MRS–A multi-centre study
J Vicente, E Fuster-Garcia, S Tortajada, JM García-Gómez, N Davies, ...
European Journal of Cancer 49 (3), 658-667, 2013
The effect of combining two echo times in automatic brain tumor classification by MRS
JM García‐Gómez, S Tortajada, C Vidal, M Julià‐Sapé, J Luts, ...
NMR in Biomedicine 21 (10), 1112-1125, 2008
A mobile health application to predict postpartum depression based on machine learning
S Jiménez-Serrano, S Tortajada, JM García-Gómez
Telemedicine and e-Health 21 (7), 567-574, 2015
Case management for patients with complex multimorbidity: development and validation of a coordinated intervention between primary and hospital care
S Tortajada, MS Giménez-Campos, J Villar-López, R Faubel-Cava, ...
International journal of integrated care 17 (2), 2017
Prediction of postpartum depression using multilayer perceptrons and pruning
S Tortajada, JM García-Gómez, J Vicente, J Sanjuán, R de Frutos, ...
Methods Inf Med 48 (3), 291-298, 2009
Compatibility between 3T 1 H SV-MRS data and automatic brain tumour diagnosis support systems based on databases of 1.5 T 1 H SV-MRS spectra
E Fuster-Garcia, C Navarro, J Vicente, S Tortajada, JM García-Gómez, ...
Magnetic Resonance Materials in Physics, Biology and Medicine 24 (1), 35-42, 2011
Incremental Gaussian Discriminant Analysis based on Graybill and Deal weighted combination of estimators for brain tumour diagnosis
S Tortajada, E Fuster-Garcia, J Vicente, P Wesseling, FA Howe, ...
Journal of biomedical informatics 44 (4), 677-687, 2011
A generic and extensible automatic classification framework applied to brain tumour diagnosis in HealthAgents
C Sáez, JM García-Gómez, J Vicente, S Tortajada, J Luts, D Dupplaw, ...
The Knowledge Engineering Review 26 (3), 283-301, 2011
A generic decision support system featuring an assembled view of predictive models for magnetic resonance and clinical data
C Sáez, JM García-Gómez, J Vicente, S Tortajada, M Esparza, A Navarro, ...
25th Annual Scientific Meeting of the European Society for Magnetic …, 2008
Curiam BT 1.0, decision support system for brain tumour diagnosis
C Sáez, J García-Gómez, J Vicente, S Tortajada, E Fuster-García, ...
ESMRMB 2009 congress: EPOS posters, paper posters, Info-RESO 22, 538, 2009
Application of artificial neural network for reducing random coincidences in PET
JF Oliver, E Fuster-Garcia, J Cabello, S Tortajada, M Rafecas
IEEE Transactions on Nuclear Science 60 (5), 3399-3409, 2013
Genomics and metabolomics research for brain tumour diagnosis based on machine learning
JM García–Gómez, S Tortajada, J Vicente, C Sáez, X Castells, J Luts, ...
International Work-Conference on Artificial Neural Networks, 1012-1019, 2007
On the use of long TE and short TE SV MR. spectroscopy to improve the automatic brain tumor diagnosis
J Garcia, S Tortajada, C Vidal, M Julia-Sape, J Luts, S Van Huffel, C Arus, ...
Technical report, 2007
Improved classification by pattern recognition of brain tumours combining long and short echo time 1H-MR spectra
S Tortajada, JM García-Gómez, C Vidal, C Arús, M Julià-Sapé, A Moreno, ...
Book of abstracts ESMRMB, 168-169, 2006
A standardized and data quality assessed maternal-child care integrated data repository for research and monitoring of best practices: a pilot project in Spain
C Sáez, D Moner, R García-De-León-Chocano, V Muñoz-Soler, ...
Informatics for Health: Connected Citizen-Led Wellness and Population Health …, 2017
Incremental logistic regression for customizing automatic diagnostic models
S Tortajada, M Robles, JM García-Gómez
Data Mining in Clinical Medicine, 57-78, 2015
Ranking of brain tumour classifiers using a Bayesian approach
J Vicente, JM García-Gómez, S Tortajada, AT Navarro, FA Howe, AC Peet, ...
International Work-Conference on Artificial Neural Networks, 1005-1012, 2009
A connectionist approach to part-of-speech tagging
F Zamora-Martınez, MJ Castro-Bleda, S Espana-Boquera, S Tortajada, ...
Int. Conf. on Neural Computation, 2009
Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven years
FJ Pérez-Benito, C Sáez, JA Conejero, S Tortajada, B Valdivieso, ...
PloS one 14 (8), e0220369, 2019
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