Courses

  • Ammari, Habib (ETH Zürich)
        Mathematics of Super-Resolution Biomedical Imaging   (Lecture notes)   (Introductory lecture)   (Course and codes at ETH)
            - Scale separation techniques
            - Multi-wave modalities
            - Spectroscopic techniques
            - Nanoparticle imaging

  • Ballester, Coloma (Universitat Pompeu Fabra)
        Mathematical modelling and analysis of similarities in imaging
            - A tour on image and video analysis; local and nonlocal methods
            - Self-similarity and its variational formulation
            - Multiscale analysis of similarities between images on Riemannian manifolds

  • Frangi, Alejandro (University of Sheffield)
        Mathematical models in image segmentation and registration
            - Statistical shape modelling for medical image segmentation
            - Non-rigid medical image registration using free-form deformations
            - Precision imaging: more descriptive, integrative and predictive image analysis

  • Lorenzi, Marco (University College London)
        Studying brain disorders through statistical learning of brain imaging, genetics and clinical trials data
            - Gaussian processes for disease progression modeling and prediction
            - Imaging-genetics: multimodal analysis of heterogeneous data
            - Computational anatomy and statistical analysis of manifold-valued data

  • Muñoz, Arrate (Universidad Carlos III de Madrid)
        Mathematics for morphodynamic studies of the cell
            - Analysis of cellular spatio-temporal dynamics and morphology
            - Super-resolved Traction Force Microscopy
            - Applications in developmental biology, oncology and neurology

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