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  1. No Access

    Article

    Benign /malignant classifier of soft tissue tumors using MR imaging

    This article presents a pattern-recognition approach to the soft tissue tumors (STT) benign/malignant character diagnosis using magnetic resonance (MR) imaging applied to a large multicenter database. Objective: ...

    Juan M. García-Gómez, César Vidal in Magnetic Resonance Materials in Physics, B… (2004)

  2. 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)

  3. Article

    Open Access

    Multiproject–multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy

    Automatic brain tumor classification by MRS has been under development for more than a decade. Nonetheless, to our knowledge, there are no published evaluations of predictive models with unseen cases that are ...

    Juan M. García-Gómez, Jan Luts in Magnetic Resonance Materials in Physics, B… (2009)

  4. 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)

  5. No Access

    Chapter

    Brain Tumor Classification Using Magnetic Resonance Spectroscopy

    The systematic compilation of Magnetic Resonance Spectroscopy (MRS) has allowed the application of statistical and signal processing techniques to analyze the contribution of metabolites and other compounds in...

    Juan M. García-Gómez in Tumors of the Central Nervous system, Volume 3 (2011)

  6. No Access

    Article

    Compatibility between 3T 1H SV-MRS data and automatic brain tumour diagnosis support systems based on databases of 1.5T 1H SV-MRS spectra

    This study demonstrates that 3T SV-MRS data can be used with the currently available automatic brain tumour diagnostic classifiers which were trained on databases of 1.5T spectra. This will allow the existing ...

    Elies Fuster-Garcia, Clara Navarro in Magnetic Resonance Materials in Physics, B… (2011)

  7. 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)

  8. 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)

  9. 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)

  10. 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)

  11. Article

    Open Access

    MGMT methylation may benefit overall survival in patients with moderately vascularized glioblastomas

    To assess the combined role of tumor vascularity, estimated from perfusion MRI, and MGMT methylation status on overall survival (OS) in patients with glioblastoma.

    Elies Fuster-Garcia, David Lorente Estellés in European Radiology (2021)

  12. Article

    Open Access

    Blockchain for Data Originality in Pharma Manufacturing

    This paper analyses the feasibility of tracking data originality for pharmaceutical manufacturing in a tamper-proof manner using a geographically distributed system. The main research question is whether it is...

    Marta Durá, Fátima Leal, Ángel Sánchez-García in Journal of Pharmaceutical Innovation (2023)