On the Use of Graphical Models to Study ICU Outcome Prediction in Septic Patients Treated with Statins. - Vicent J. Ribas; Jesús Caballero Lopez; Anna Sáez de Tejada; Juan Carlos Ruiz-Rodríguez; Adolfo Ruiz-Sanmartin; Jordi Rello; Alfredo Vellido (CIBB, 2011)

On the use of decision trees for ICU outcome prediction in sepsis patients treated with statins. - Vicent J. Ribas; Jesús Caballero Lopez; Juan Carlos Ruiz-Rodríguez; Adolf Ruiz-Sanmartin; Jordi Rello; Alfredo Vellido (CIDM, 2011)

Severe sepsis mortality prediction with relevance vector machines. - Vicent J. Ribas; Jesús Caballero Lopez; Adolf Ruiz-Sanmartin; Juan Carlos Ruiz-Rodríguez; Jordi Rello; Anna Wojdel; Alfredo Vellido (EMBC, 2011)

Severe sepsis mortality prediction with logistic regression over latent factors. - Vicent J. Ribas; Alfredo Vellido; Juan Carlos Ruiz-Rodríguez; Jordi Rello (Expert Syst. Appl., 2012)

Corrigendum to "Severe sepsis mortality prediction with logistic regression over latent factors" [Expert Systems with Applications 39 (2) (2012) 1937-1943]. - Vicent J. Ribas; Alfredo Vellido; Juan Carlos Ruiz-Rodríguez; Jordi Rello (Expert Syst. Appl., 2012)

A quotient basis kernel for the prediction of mortality in severe sepsis patients. - Vicent J. Ribas Ripoll; Enrique Romero; Juan Carlos Ruiz-Rodríguez; Alfredo Vellido (ESANN, 2013)

On the intelligent management of sepsis in the intensive care unit. - Vicent J. Ribas (2013)

Assessment of Electrocardiograms with Pretraining and Shallow Networks. - Vicent J. Ribas Ripoll; Anna Wojdel; Pablo Ramos; Enrique Romero; Josep Brugada (CinC, 2014)

Sepsis mortality prediction with the Quotient Basis Kernel. - Vicent J. Ribas Ripoll; Alfredo Vellido; Enrique Romero; Juan Carlos Ruiz-Rodríguez (Artif. Intell. Medicine, 2014)

Robust detection of ECG waves. - Anna Wojdel; Vicent J. Ribas Ripoll; Miguel Teixidó-Román; Pablo Ramos; Josep Brugada (CinC, 2015)

Metabolite analysis in sepsis through conditional independence maps. - Vicent J. Ribas Ripoll; Eduardo Romay; Laura Brunelli; Roberta Pastorelli; Gemma Gomà; Ana Navas; Antoni Artigas; Ricard Ferrer (EMBC, 2015)

Applying Conditional Independence Maps to Improve Sepsis Prognosis. - Carles Morales; Vicent J. Ribas; Alfredo Vellido (ICDM Workshops, 2016)

ECG assessment based on neural networks with pretraining. - Vicent J. Ribas Ripoll; Anna Wojdel; Enrique Romero; Pablo Ramos; Josep Brugada (Appl. Soft Comput., 2016)

Machine Learning for Critical Care: An Overview and a Sepsis Case Study. - Alfredo Vellido; Vicent J. Ribas; Carles Morales; Adolfo Ruiz-Sanmartin; Juan Carlos Ruiz-Rodríguez (IWBBIO (1), 2017)

Big Data Analytics for Obesity Prediction. - Ahsan Bilal; Alfredo Vellido; Vicent J. Ribas (CCIA, 2018)

Pipeline design to identify key features and classify the chemotherapy response on lung cancer patients using large-scale genetic data. - María Gabriela Valdés; Iván Galván-Femenía; Vicent J. Ribas Ripoll; Xavier Duran; Jun Yokota; Ricard Gavaldà; Xavier Rafael-Palou; Rafael de Cid (BMC Syst. Biol., 2018)

Class Imbalance Impact on the Prediction of Complications during Home Hospitalization: A Comparative Study. - Mireia Calvo; Isaac Cano; Carme Hernández; Vicent J. Ribas; Felip Miralles; Josep Roca; Raimon Jané (EMBC, 2019)

Integration of convolutional neural networks for pulmonary nodule malignancy assessment in a lung cancer classification pipeline. - Ilaria Bonavita; Xavier Rafael-Palou; Mario Ceresa; Gemma Piella; Vicent J. Ribas; Miguel Ángel González Ballester (Comput. Methods Programs Biomed., 2020)

Pulmonary Nodule Malignancy Classification Using its Temporal Evolution with Two-Stream 3D Convolutional Neural Networks. - Xavier Rafael-Palou; Anton Aubanell; Ilaria Bonavita; Mario Ceresa; Gemma Piella; Vicent J. Ribas; Miguel Ángel González Ballester (CoRR, 2020)

CoLe-CNN+: Context learning - Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation. - Giuseppe Pezzano; Oliver Díaz; Vicent J. Ribas Ripoll; Petia Radeva (Comput. Biol. Medicine, 2021)

CoLe-CNN: Context-learning convolutional neural network with adaptive loss function for lung nodule segmentation. - Giuseppe Pezzano; Vicent J. Ribas Ripoll; Petia Radeva (Comput. Methods Programs Biomed., 2021)

Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans. - Xavier Rafael-Palou; Anton Aubanell; Mario Ceresa; Vicent J. Ribas; Gemma Piella; Miguel Ángel González Ballester (CoRR, 2021)

An Uncertainty-aware Hierarchical Probabilistic Network for Early Prediction, Quantification and Segmentation of Pulmonary Tumour Growth. - Xavier Rafael-Palou; Anton Aubanell; Mario Ceresa; Vicent J. Ribas; Gemma Piella; Miguel Ángel González Ballester (CoRR, 2021)

Re-Identification and growth detection of pulmonary nodules without image registration using 3D siamese neural networks. - Xavier Rafael-Palou; Anton Aubanell; Ilaria Bonavita; Mario Ceresa; Gemma Piella; Vicent J. Ribas; Miguel Ángel González Ballester (Medical Image Anal., 2021)

Respect for Autonomy in the Machine Learning Pipeline. - Paula Subías-Beltrán; Oriol Pujol; Itziar de Lecuona; Vicent J. Ribas Ripoll (CCIA, 2023)

Exploring proteomic signatures in sepsis and non-infectious systemic inflammatory response syndrome. - Adolfo Ruiz-Sanmartin; Vicent J. Ribas; David Suñol; Luis Chiscano-Camón; Laura Martín; Iván Bajaña; Juliana Bastida; Nieves Larrosa; Juan José González; M. Dolores Carrasco; Núria Canela; Ricard Ferrer; et al. (CoRR, 2025)