Search Results for author: John R. Hurst

Found 3 papers, 2 papers with code

The challenges of deploying artificial intelligence models in a rapidly evolving pandemic

no code implementations19 May 2020 Yipeng Hu, Joseph Jacob, Geoffrey JM Parker, David J. Hawkes, John R. Hurst, Danail Stoyanov

The COVID-19 pandemic, caused by the severe acute respiratory syndrome coronavirus 2, emerged into a world being rapidly transformed by artificial intelligence (AI) based on big data, computational power and neural networks.

COVID-19 Diagnosis Drug Discovery +1

Reproducibility of an airway tapering measurement in CT with application to bronchiectasis

1 code implementation16 Sep 2019 Kin Quan, Ryutaro Tanno, Rebecca J. Shipley, Jeremy S. Brown, Joseph Jacob, John R. Hurst, David J. Hawkes

Purpose: This paper proposes a pipeline to acquire a scalar tapering measurement from the carina to the most distal point of an individual airway visible on CT. We show the applicability of using tapering measurements on clinically acquired data by quantifying the reproducibility of the tapering measure.

Cannot find the paper you are looking for? You can Submit a new open access paper.