Elies Fuster-Garcia
Elies Fuster-Garcia
MSCA Fellow, Oslo University Hospital
Verified email at ous-hf.no
Cited by
Cited by
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
Automated glioblastoma segmentation based on a multiparametric structured unsupervised classification
J Juan-Albarracín, E Fuster-Garcia, JV Manjon, M Robles, F Aparici, ...
PloS one 10 (5), e0125143, 2015
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, 2012
Band gap creation using quasiordered structures based on sonic crystals
V Romero-García, E Fuster, LM García-Raffi, EA Sánchez-Pérez, ...
Applied Physics Letters 88 (17), 174104, 2006
Glioblastoma: vascular habitats detected at preoperative dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging predict survival
J Juan-Albarracín, E Fuster-Garcia, A Pérez-Girbés, F Aparici-Robles, ...
Radiology 287 (3), 944-954, 2018
Targeted band gap creation using mixed sonic crystal arrays including resonators and rigid scatterers
E Fuster-Garcia, V Romero-García, JV Sánchez-Pérez, LM Garcia-Raffi
Applied physics letters 90 (24), 244104, 2007
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
Classification of single‐voxel 1H spectra of brain tumours using LCModel
F Raschke, E Fuster‐Garcia, KS Opstad, FA Howe
NMR in Biomedicine 25 (2), 322-331, 2012
Fusing actigraphy signals for outpatient monitoring
E Fuster-Garcia, A Bresó, J Martínez-Miranda, J Rosell-Ferrer, ...
Information Fusion 23, 69-80, 2015
A novel approach to improve the planning of adaptive and interactive sessions for the treatment of major depression
A Bresó, J Martínez-Miranda, E Fuster-García, JM García-Gómez
International Journal of Human-Computer Studies 87, 80-91, 2016
ONCOhabitats: A system for glioblastoma heterogeneity assessment through MRI
J Juan-Albarracín, E Fuster-Garcia, GA García-Ferrando, ...
International journal of medical informatics 128, 53-61, 2019
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
Robust association between vascular habitats and patient prognosis in glioblastoma: An international multicenter study
M del Mar Álvarez‐Torres, J Juan‐Albarracín, E Fuster‐Garcia, ...
Journal of Magnetic Resonance Imaging 51 (5), 1478-1486, 2020
Improving the estimation of prognosis for glioblastoma patients by MR based hemodynamic tissue signatures
E Fuster‐Garcia, J Juan‐Albarracín, GA García‐Ferrando, ...
NMR in Biomedicine 31 (12), e4006, 2018
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
Sparse Manifold Clustering and Embedding to discriminate gene expression profiles of glioblastoma and meningioma tumors
JM García-Gómez, J Gómez-Sanchis, P Escandell-Montero, ...
Computers in biology and medicine 43 (11), 1863-1869, 2013
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
Actigraphy pattern analysis for outpatient monitoring
E Fuster-Garcia, A Bresó, JM Miranda, JM García-Gómez
Data Mining in Clinical Medicine, 3-17, 2015
Next generation HPC clouds: A view for large-scale scientific and data-intensive applications
D Petcu, H González–Vélez, B Nicolae, JM García–Gómez, ...
European Conference on Parallel Processing, 26-37, 2014
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
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