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, 5-18, 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
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
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
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 1H SV-MRS data and automatic brain tumour diagnosis support systems based on databases of 1.5T 1H SV-MRS spectra
E Fuster-Garcia, C Navarro, J Vicente, S Tortajada, JM García-Gómez, ...
Magnetic Resonance Materials in Physics, Biology and Medicine 24, 35-42, 2011
The influence of combining two echo times in automatic brain tumor classification by Magnetic Resonance Spectroscopy
JM Garcıa-Gómez, S Tortajada, C Vidal, M Julia-Sapé, J Luts, ...
NMR in Biomedicine 21 (10), 1112-1125, 2008
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
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
On the use of long TE and short TE SV MR spectroscopy to improve the automatic brain tumor diagnosis
JM Garcia-Gomez, S Tortajada, C Vidal, M Julià-Sapé, J Luts, ...
Leuven, Belgium: Katholieke University Leuven, 2007
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, ...
Computational and Ambient Intelligence: 9th International Work-Conference on …, 2007
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
Curiam BT 1.0, decision support system for brain tumour diagnosis
C Sáez, J García-Gómez, J Vicente, S Tortajada, E Fuster-Garcia, ...
ESMRMB 2009 congress: EPOS posters, paper posters, Info-RESO 22, 538, 2009
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
Design of 1-year mortality forecast at hospital admission: A machine learning approach
V Blanes-Selva, V Ruiz-García, S Tortajada, JM Benedí, B Valdivieso, ...
Health Informatics Journal 27 (1), 1460458220987580, 2021
Age-filtered MRS classifier to overcome the differences in childhood and adulthood brain tumours
J Vicente, J García-Gómez, S Tortajada, E Fuster-Garcia, A Capdevila, ...
Proceedings of the 17th Scientific Meeting, International Society for …, 2009
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
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