Search Results for author: David J. Hawkes

Found 8 papers, 3 papers with code

Image quality assessment for closed-loop computer-assisted lung ultrasound

no code implementations20 Aug 2020 Zachary M. C. Baum, Ester Bonmati, Lorenzo Cristoni, Andrew Walden, Ferran Prados, Baris Kanber, Dean C. Barratt, David J. Hawkes, Geoffrey J M Parker, Claudia A M Gandini Wheeler-Kingshott, Yipeng Hu

The diagnosis assistance module can then be trained with data that are deemed of sufficient quality, guaranteed by the closed-loop feedback mechanism from the quality assessment module.

Anomaly Detection Image Quality Assessment

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

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.

Computer-assisted polyp matching between optical colonoscopy and CT colonography: a phantom study

no code implementations15 Jan 2015 Holger R. Roth, Thomas E. Hampshire, Emma Helbren, Mingxing Hu, Roser Vega, Steve Halligan, David J. Hawkes

Furthermore, we evaluate the matching of the reconstructed polyp from OC with other colonic endoluminal surface structures such as haustral folds and show that there is a minimum at the correct polyp from CTC.

3D Reconstruction

Numerical Methods for Coupled Reconstruction and Registration in Digital Breast Tomosynthesis

1 code implementation23 Jul 2013 Guang Yang, John H. Hipwell, David J. Hawkes, Simon R. Arridge

We evaluate our methods using various computational digital phantoms, uncompressed breast MR images, and in-vivo DBT simulations.

Image Registration

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