Skip to main content

3 Result(s)

within Petar Veličković Remove this filter Artificial Intelligence Remove this filter

and

  1. No Access

    Chapter

    Predicting Patient Outcomes with Graph Representation Learning

    Recent work on predicting patient outcomes in the Intensive Care Unit (ICU) has focused heavily on the physiological time series data, largely ignoring sparse data such as diagnoses and medications. When they ...

    Catherine Tong, Emma Rocheteau… in AI for Disease Surveillance and Pandemic I… (2022)

  2. No Access

    Chapter and Conference Paper

    Utility of Equivariant Message Passing in Cortical Mesh Segmentation

    The automated segmentation of cortical areas has been a long-standing challenge in medical image analysis. The complex geometry of the cortex is commonly represented as a polygon mesh, whose segmentation can b...

    Dániel Unyi, Ferdinando Insalata… in Medical Image Understanding and Analysis (2022)

  3. No Access

    Chapter and Conference Paper

    Automatic Inference of Cross-Modal Connection Topologies for X-CNNs

    This paper introduces a way to learn cross-modal convolutional neural network (X-CNN) architectures from a base convolutional network (CNN) and the training data to reduce the design cost and enable applying c...

    Laurynas Karazija, Petar Veličković, Pietro Liò in Advances in Neural Networks – ISNN 2018 (2018)