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
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
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 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
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
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
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
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 Garcıa-Gómez, S Tortajada
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
Incremental logistic regression for customizing automatic diagnostic models
S Tortajada, M Robles, JM García-Gómez
Data Mining in Clinical Medicine, 57-78, 2015
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