no code implementations • 20 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.
no code implementations • 19 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.
1 code implementation • 16 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.
2 code implementations • 14 Sep 2019 • Kin Quan, Rebecca J. Shipley, Ryutaro Tanno, Graeme McPhillips, Vasileios Vavourakis, David Edwards, Joseph Jacob, John R. Hurst, David J. Hawkes
We propose a simple measurement of tapering along the airways to diagnose and monitor bronchiectasis.
no code implementations • 18 Jun 2018 • Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sebastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso
Multi-task neural network architectures provide a mechanism that jointly integrates information from distinct sources.
no code implementations • 9 Feb 2018 • Timur Kuzhagaliyev, Neil T. Clancy, Mirek Janatka, Kevin Tchaka, Francisco Vasconcelos, Matthew J. Clarkson, Kurinchi Gurusamy, David J. Hawkes, Brian Davidson, Danail Stoyanov
Irreversible electroporation (IRE) is a soft tissue ablation technique suitable for treatment of inoperable tumours in the pancreas.
no code implementations • 15 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.
no code implementations • 23 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.