Publications

My interdisciplinary research focuses on providing elegant solutions to computationally expensive or ill-defined problems within the fields of machine learning, high-performance computing, image processing, bioimage informatics and computer graphics.

Journals

  • Chris G. Willcocks, P. T. Jackson, C. J. Nelson, and B. Obara, “Extracting 3D Parametric Curves from 2D Images of Helical Objects,” IEEE Transactions on Pattern Analysis and
    Machine Intelligence, vol. 39, no. 9, PP. 1757–1769, Sep. 2017, ISSN: 0162-8828. DOI: 10.1109/TPAMI.2016.2613866.
  • A. V. Nasrulloh, C. G. Willcocks, P. T. G. Jackson, C. Geenen, M. S. Habib, D. H. W. Steel, and B. Obara, “Multi-scale Segmentation and Surface Fitting for Measuring 3D Macular Holes,” IEEE Transactions on Medical Imaging, vol. PP, no. 99, PP. 1–1, 2017, ISSN: 0278-0062.
    DOI: 10.1109/TMI.2017.2767908.
  • Chris G. Willcocks, P. T. Jackson, C. J. Nelson, A. Nasrulloh, and B. Obara, “Interactive GPU Active Contours for Segmenting Inhomogeneous Objects,” Journal of Real-time Image Processing, Dec. 2017, video url: https://youtube.com/watch?v=6W4mO7BPeGg, issn: 1861-8219. doi: 10.1007/s11554-017-0740-1.
  • S. Akcay, M. E. Kundegorski, Chris G. Willcocks, and T. P. Breckon, “Using Deep Convolutional Neural Network Architectures for Object Classification and Detection Within X-Ray Baggage Security Imagery,” IEEE Transactions on Information Forensics and Security, vol. 13, no. 9, pp. 2203–2215, Sep. 2018, issn: 1556-6013. doi: 10.1109/TIFS.2018.2812196.
  • M. Roberts, Chris G. Willcocks, and B. Obara, “Deep Learning for the Classification & Clustering of Museum Collections,” Journal of Cultural Heritage, Nov. 2017, In Review.
  • S. Alharbi, Chris G. Willcocks, P. T. Jackson, and B. Obara, “Sequential Graph-based Extraction of Prominent Curvilinear Structures,” Pattern Recognition, Oct. 2017, In Review.
  • H. Alhasson, Chris G. Willcocks, P. T. Jackson, and B. Obara, “Understanding the relationship between curvilinear structure enhancement and skeletonisation,” Medical Imaging Analysis, 2018, In Review.
  • Chris G. Willcocks and F. W. B. Li, “Feature-varying skeletonization: Intuitive control over
    the target feature size and output skeleton topology,” The Visual Computer – International
    Journal of Computer Graphics, CGI, vol. 28, no. 6, PP. 775–785, 2012, ISSN: 1432-2315. DOI:
    10.1007/s00371-012-0688-x.

Conferences and Thesis

  • C. J. Nelson, Chris G. Willcocks, P. T. Jackson, P. Laissue, and B. Obara, “Application of high-speed level set segmentation to light sheet fluorescence microscopy,” in Light Sheet Fluorescence Microscopy International, Sheffield, UK, Aug. 2016.
  • N. Mukerji, C. J. Nelson, Chris G. Willcocks, P. T. Jackson, and B. Obara, “Real-time segmentation of brain vasculature and identification of anomalies in magnetic resonance angiography,” in European Congress of Neurosurgery, Athens, Greece, Sep. 2016.
  • Chris G. Willcocks, “Sparse Volumetric Deformation – Animating and rendering huge amounts of volumetric data using GPGPU computing,” http://etheses.dur.ac.uk/8471/, PhD thesis, Durham University, Oct. 2013.