•  347
    Developing the Quantitative Histopathology Image Ontology : A case study using the hot spot detection problem
    with Metin Gurcan, Tomaszewski N., Overton John, Scott Doyle, Alan Ruttenberg, and Barry Smith
    Journal of Biomedical Informatics 66 129-135. 2017.
    Interoperability across data sets is a key challenge for quantitative histopathological imaging. There is a need for an ontology that can support effective merging of pathological image data with associated clinical and demographic data. To foster organized, cross-disciplinary, information-driven collaborations in the pathological imaging field, we propose to develop an ontology to represent imaging data and methods used in pathological imaging and analysis, and call it Quantitative Histopatholo…Read more
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    Wittgenstein said of Kierkegaard that he was the “single most profound philosopher of the 19th century”; but what accounts for Wittgenstein’s estimation of Kierkegaard’s work? I argue that Kierkegaard, who was a student of ancient philosophy, synthesized Socratic and Aristotelian concepts into a conception of philosophical inquiry that provided the basis for a Socratic-style engagement with what Kierkegaard calls “the present age”. This allows Kierkegaard to engage Socratically with the present …Read more