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Durham University

Computer Science

Profile

Dr Chris Willcocks - all publications

Journal Article

Conference Paper

  • Jonathan Frawley, and Chris Willcocks, Habib Maged, Geenen Caspar, David Steel & Boguslaw Obara (2019), Deep-learning based, automated segmentation of macular holes in optical coherence tomography, The Wolfson Research Institute for Health and Wellbeing Fourth Annual Early Career Researcher Conference. Durham, UK.
  • Matthew Roberts, Chris Willcocks, Anna Leone & Boguslaw Obara (2018), Deep learning for the classification and clustering of museum collections, Annual Meeting of the European Association of Archaeologists. Barcelona, Spain.
  • Chris G. Willcocks, Jonathan Frawley, Gregoire Payen de La Garanderie, Habib Maged, Geenen Caspar, David Steel & Boguslaw Obara (2018), Macular hole and edema segmentation with 3D image-to-image networks, International Society for Eye Research Conference. Belfast, Northern Ireland, UK.
  • Medhat, Fady, Mohammadi, Mahnaz, Jaf, Sardar, Willcocks, Chris, Breckon, Toby, Matthews, Peter, McGough, Andrew Stephen, Theodoropoulos, Georgios & Obara, Boguslaw (2018), TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text, IEEE International Conference on Big Data. Seattle, WA, USA, IEEE.
  • Carl J. Nelson, Chris Willcocks, Philip T.G. Jackson, Philippe Laissue & Boguslaw Obara (2016), Application of high-speed level set segmentation to light sheet fluorescence microscopy, Light Sheet Fluorescence Microscopy International Conference. Sheffield, UK.
  • Nitin Mukerji, Carl J. Nelson, Chris Willcocks, Philip T.G. Jackson & Boguslaw Obara (2016), Real-time segmentation of brain vasculature and identification of anomalies in magnetic resonance angiography, European Congress of Neurosurgery. Athens, Greece.

Doctoral Thesis

  • Chris G. Willcocks (2013). Sparse Volumetric Deformation - Animating and rendering huge amounts of volumetric data using GPGPU computing. Durham University. PhD.