Vicent J. Ribas

Publication Activity (10 Years)

Years Active: 2011-2021
Publications (10 Years): 10

Top Topics

Pulmonary Nodules

Big Data Analytics

Top Venues

Expert Syst. Appl.

Medical Image Anal.

Publications

Xavier Rafael-Palou, Anton Aubanell, Mario Ceresa, Vicent J. Ribas, Gemma Piella, Miguel Ángel González Ballester
An Uncertainty-aware Hierarchical Probabilistic Network for Early Prediction, Quantification and Segmentation of Pulmonary Tumour Growth. CoRR (2021)
Xavier Rafael-Palou, Anton Aubanell, Mario Ceresa, Vicent J. Ribas, Gemma Piella, Miguel Ángel González Ballester
Detection, growth quantification and malignancy prediction of pulmonary nodules using deep convolutional networks in follow-up CT scans. CoRR (2021)
Xavier Rafael-Palou, Anton Aubanell, Ilaria Bonavita, Mario Ceresa, Gemma Piella, Vicent J. Ribas, Miguel Ángel González Ballester
Re-Identification and growth detection of pulmonary nodules without image registration using 3D siamese neural networks. Medical Image Anal. 67 (2021)
Xavier Rafael-Palou, Anton Aubanell, Ilaria Bonavita, Mario Ceresa, Gemma Piella, Vicent J. Ribas, Miguel Ángel González Ballester
Pulmonary Nodule Malignancy Classification Using its Temporal Evolution with Two-Stream 3D Convolutional Neural Networks. CoRR (2020)
Ilaria Bonavita, Xavier Rafael-Palou, Mario Ceresa, Gemma Piella, Vicent J. Ribas, Miguel Ángel González Ballester
Integration of convolutional neural networks for pulmonary nodule malignancy assessment in a lung cancer classification pipeline. Comput. Methods Programs Biomed. 185 (2020)
Xavier Rafael-Palou, Anton Aubanell, Ilaria Bonavita, Mario Ceresa, Gemma Piella, Vicent J. Ribas, Miguel Ángel González Ballester
Re-Identification and Growth Detection of Pulmonary Nodules without Image Registration Using 3D Siamese Neural Networks. CoRR (2019)
Ilaria Bonavita, Xavier Rafael-Palou, Mario Ceresa, Gemma Piella, Vicent J. Ribas, Miguel Ángel González Ballester
Integration of Convolutional Neural Networks for Pulmonary Nodule Malignancy Assessment in a Lung Cancer Classification Pipeline. CoRR (2019)
Ahsan Bilal, Alfredo Vellido, Vicent J. Ribas
Big Data Analytics for Obesity Prediction. CCIA (2018)
Alfredo Vellido, Vicent J. Ribas, Carles Morales, Adolfo Ruiz-Sanmartin, Juan Carlos Ruiz-Rodríguez
Machine Learning for Critical Care: An Overview and a Sepsis Case Study. IWBBIO (1) (2017)
Carles Morales, Vicent J. Ribas, Alfredo Vellido
Applying Conditional Independence Maps to Improve Sepsis Prognosis. ICDM Workshops (2016)
Vicent J. Ribas, Alfredo Vellido, Juan Carlos Ruiz-Rodríguez, Jordi Rello
Corrigendum to "Severe sepsis mortality prediction with logistic regression over latent factors" [Expert Systems with Applications 39 (2) (2012) 1937-1943]. Expert Syst. Appl. 39 (18) (2012)
Vicent J. Ribas, Alfredo Vellido, Juan Carlos Ruiz-Rodríguez, Jordi Rello
Severe sepsis mortality prediction with logistic regression over latent factors. Expert Syst. Appl. 39 (2) (2012)
Vicent J. Ribas, Jesús Caballero Lopez, Anna Sáez de Tejada, Juan Carlos Ruiz-Rodríguez, Adolfo Ruiz-Sanmartin, Jordi Rello, Alfredo Vellido
On the Use of Graphical Models to Study ICU Outcome Prediction in Septic Patients Treated with Statins. CIBB (2011)
Vicent J. Ribas, Jesús Caballero Lopez, Juan Carlos Ruiz-Rodríguez, Adolf Ruiz-Sanmartin, Jordi Rello, Alfredo Vellido
On the use of decision trees for ICU outcome prediction in sepsis patients treated with statins. CIDM (2011)
Vicent J. Ribas, Jesús Caballero Lopez, Adolf Ruiz-Sanmartin, Juan Carlos Ruiz-Rodríguez, Jordi Rello, Anna Wojdel, Alfredo Vellido
Severe sepsis mortality prediction with relevance vector machines. EMBC (2011)