Vicent Ribas Ripoll
Vicent Ribas Ripoll
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Innovative continuous non-invasive cuffless blood pressure monitoring based on photoplethysmography technology
JC Ruiz-Rodríguez, A Ruiz-Sanmartín, V Ribas, J Caballero, ...
Intensive care medicine 39 (9), 1618-1625, 2013
Usefulness of procalcitonin clearance as a prognostic biomarker in septic shock. A prospective pilot study
JC Ruiz-Rodríguez, J Caballero, A Ruiz-Sanmartin, VJ Ribas, M Pérez, ...
Medicina Intensiva (English Edition) 36 (7), 475-480, 2012
Severe sepsis mortality prediction with relevance vector machines
VJ Ribas, JC López, A Ruiz-Sanmartín, JC Ruiz-Rodríguez, J Rello, ...
2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011
ECG assessment based on neural networks with pretraining
VJR Ripoll, A Wojdel, E Romero, P Ramos, J Brugada
Applied Soft Computing 49, 399-406, 2016
Autologous haematopoietic stem cell transplantation for refractory Crohn’s disease: efficacy in a single-centre cohort
A López-García, M Rovira, A Jauregui-Amezaga, P Marín, R Barastegui, ...
Journal of Crohn's and Colitis 11 (10), 1161-1168, 2017
Severe sepsis mortality prediction with logistic regression over latent factors
VJ Ribas, A Vellido, JC Ruiz-Rodríguez, J Rello
Expert Systems with Applications 39 (2), 1937-1943, 2012
ShockOmics: multiscale approach to the identification of molecular biomarkers in acute heart failure induced by shock
F Aletti, C Conti, M Ferrario, V Ribas, BB Pinto, A Herpain, E Post, ...
Scandinavian journal of trauma, resuscitation and emergency medicine 24 (1 …, 2016
Machine learning in critical care: state-of-the-art and a sepsis case study
A Vellido, V Ribas, C Morales, AR Sanmartín, JCR Rodríguez
Biomedical engineering online 17 (1), 1-18, 2018
Integration of convolutional neural networks for pulmonary nodule malignancy assessment in a lung cancer classification pipeline
I Bonavita, X Rafael-Palou, M Ceresa, G Piella, V Ribas, MAG Ballester
Computer methods and programs in biomedicine 185, 105172, 2020
Sepsis mortality prediction with the quotient basis kernel
JCRR Vicent J. Ribas Ripoll, Alfredo Vellido, Enrique
Artificial Intelligence in Medicine, 2014
Proteolysis in septic shock patients: plasma peptidomic patterns are associated with mortality
J Bauzá-Martinez, F Aletti, BB Pinto, V Ribas, MA Odena, R Díaz, ...
British journal of anaesthesia 121 (5), 1065-1074, 2018
On the use of decision trees for ICU outcome prediction in sepsis patients treated with statins
VJ Ribas, JC Lopez, JC Ruiz-Rodriguez, A Ruiz-Sanmartín, J Rello, ...
2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 37-43, 2011
Feature selection for the accurate prediction of septic and cardiogenic shock ICU mortality in the acute phase
A Aushev, VR Ripoll, A Vellido, F Aletti, BB Pinto, A Herpain, EH Post, ...
PloS one 13 (11), e0199089, 2018
Modelling the cardiovascular system for assessing the blood pressure curve
MJMG T.G. Myers, Vicent Ribas Ripoll, Anna Saez de Tejada Cuenca, Sarah L ...
Mathematics-in-Industry Case Studies 8 (2), 2017
System and apparatus for the non-invasive measurement of glucose levels in blood
VJR Ripoll, VMG Llorente, EM Moreno
US Patent App. 13/128,205, 2011
Methods and Systems for Non-Invasive Measurement of Blood Pressure
VJR Ripoll, A Wojdel, VMG Llorente
US Patent App. 13/481,420, 2013
Blood Pressure Assessment with Differential Pulse Transit Time and Deep Learning: A Proof of Concept
VA Ribas Ripoll V.
Kidney Diseases, 2018
Applying conditional independence maps to improve sepsis prognosis
C Morales, V Ribas, A Vellido
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016
Assessment of electrocardiograms with pretraining and shallow networks
VJR Ripoll, A Wojdel, P Ramos, E Romero, J Brugada
Computing in Cardiology 2014, 1061-1064, 2014
System and apparatus for the non-invasive measurement of blood pressure
VJR Ripoll, VMG Llorente, EM Moreno
US Patent App. 13/123,896, 2011
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