Skip to main content

and
  1. No Access

    Article

    Non-local spatially varying finite mixture models for image segmentation

    In this work, we propose a new Bayesian model for unsupervised image segmentation based on a combination of the spatially varying finite mixture models (SVFMMs) and the non-local means (NLM) framework. The pro...

    Javier Juan-Albarracín, Elies Fuster-Garcia, Alfons Juan in Statistics and Computing (2021)

  2. No Access

    Chapter and Conference Paper

    ONCOhabitats Glioma Segmentation Model

    ONCOhabitats is an open online service that provides a fully automatic analysis of tumor vascular heterogeneity in gliomas based on multiparametric MRI. Having a model capable of accurately segment pathologica...

    Javier Juan-Albarracín, Elies Fuster-Garcia in Brainlesion: Glioma, Multiple Sclerosis, S… (2020)

  3. No Access

    Chapter and Conference Paper

    An Online Platform for the Automatic Reporting of Multi-parametric Tissue Signatures: A Case Study in Glioblastoma

    Glioblastomas are infiltrative and deeply invasive neoplasms characterized by high vascular proliferation and diffuse margins. As a consequence, this lesion presents a high degree of heterogeneity that require...

    Javier Juan-Albarracín, Elies Fuster-Garcia in Brainlesion: Glioma, Multiple Sclerosis, S… (2016)

  4. No Access

    Article

    Probabilistic change detection and visualization methods for the assessment of temporal stability in biomedical data quality

    Knowledge discovery on biomedical data can be based on on-line, data-stream analyses, or using retrospective, timestamped, off-line datasets. In both cases, changes in the processes that generate data or in th...

    Carlos Sáez, Pedro Pereira Rodrigues, João Gama in Data Mining and Knowledge Discovery (2015)

  5. No Access

    Article

    HealthAgents: distributed multi-agent brain tumor diagnosis and prognosis

    We present an agent-based distributed decision support system for the diagnosis and prognosis of brain tumors developed by the HealthAgents project. HealthAgents is a European Union funded research project, whic...

    Horacio González-Vélez, Mariola Mier, Margarida Julià-Sapé in Applied Intelligence (2009)

  6. No Access

    Chapter and Conference Paper

    Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning

    The incorporation of new biomedical technologies in the diagnosis and prognosis of cancer is changing medicine to an evidence-based diagnosis. We summarize some studies related to brain tumour research in Euro...

    Juan M. García–Gómez, Salvador Tortajada in Computational and Ambient Intelligence (2007)