85 citations · 114 across the 6 of their papers we have counts for
6 papers
Interpolation-Split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance
Wing Keung Cheung, Ashkan Pakzad, Nesrin Mogulkoc +14
The morphology and distribution of airway tree abnormalities enables diagnosis and disease characterisation across a variety of chronic respiratory conditions. In this regard, airw…
Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosis
Ashkan Pakzad, Mou-Cheng Xu, Wing Keung Cheung +7
Several chronic lung diseases, like idiopathic pulmonary fibrosis (IPF) are characterised by abnormal dilatation of the airways. Quantification of airway features on computed tomog…
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic
Yipeng Hu, Joseph Jacob, Geoffrey JM Parker +3
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 da…
Reproducibility of an airway tapering measurement in CT with application to bronchiectasis
Kin Quan, Ryutaro Tanno, Rebecca J. Shipley +4
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 applica…
Tapering Analysis of Airways with Bronchiectasis
Kin Quan, Rebecca J. Shipley, Ryutaro Tanno +6
Bronchiectasis is the permanent dilation of airways. Patients with the disease can suffer recurrent exacerbations, reducing their quality of life. The gold standard to diagnose and…
Modelling Airway Geometry as Stock Market Data using Bayesian Changepoint Detection
Kin Quan, Ryutaro Tanno, Michael Duong +7
Numerous lung diseases, such as idiopathic pulmonary fibrosis (IPF), exhibit dilation of the airways. Accurate measurement of dilatation enables assessment of the progression of di…