• Psychiatry
  • Research Focus


  • Machine Learning
  • Biostatistics
  • Statistical Learning
  • Clinical Conditions

  • Alzheimer's disease
  • Autism
  • Parkinson's disease
  • Equipment & Techniques

  • Magnetic resonance imaging (MRI)
  • Electroencephalography (EEG)
  • Positron Emission Tomography (PET)
  • Science Culture

  • Open-Source Science
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    Professor Juan Manuel Gorriz

    University Position
    Research Associate
    Professor Juan Manuel Gorriz is pleased to consider applications from prospective PhD students.


    The SIPBA group use computational and mathematical approaches based on the statistical learning theory to develop computer-aided diagnosis systems in the field of neuroscience. SiPBA aim to provide supporting tools to physicians in the early diagnosis of neuropathological diseases, such as Alzheimer or Parkinson diseases, that will influence treatment and patient management. In that sense, from the perspective of data analysis, SiPBA propose a number of statistical image analysis methods that compare an individual?s data with reference images of control subjects for the in-vivo assessment of brain functional/structural parameters in neurodegenerative diseases.

    Statistical Agnositic Mapping

    SAM is an alternative method to classic statistical inference in neuroimaging. Specifically, it tries to address a few thorny points about multiple comparison correction through family-wise error rate (FWER) control and the link between sample size and sensitivity of the test. The approach proposed relies on a region-wise machine learning technique and the calculation of error bounds on classification accuracy.


  • John Suckling
  • Key Publications

    Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

    Journal: Information Fusion
    Year: 2023
    Authors: JM Górriz, I Álvarez-Illán, A Álvarez-Marquina, JE Arco, M Atzmueller, ... et al.

    Frequency and longitudinal course of motor signs in genetic frontotemporal dementia

    Journal: Neurology 99 (10), e1032-e1044
    Year: 2022
    Authors: S Schönecker, FJ Martinez-Murcia, BS Rauchmann, N Franzmeier, C Prix, ... et al.

    Bold coupling between lesioned and healthy brain is associated with glioma patients’ recovery

    Journal: Cancers
    Year: 2021
    Authors: R Romero-Garcia, MG Hart, RAI Bethlehem, A Mandal, M Assem, ... et al.

    Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients

    Journal: Scientific Reports
    Year: 2021
    Authors: F Khozeimeh, D Sharifrazi, NH Izadi, JH Joloudari, A Shoeibi, ... et al.