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

  • 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. (New! Accepted)
  • 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.
  • 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, (New! Accepted).
  • M. Roberts, Chris G. Willcocks, and B. Obara, “Deep Learning for the Classification & Clustering of Museum Collections,” Journal of Cultural Heritage, Nov. 2017, In Revision.
  • S. Ackay, M. Kundegorski, Chris G. Willcocks, and T. P. Breckon, “On Using Deep Convolutional Neural Network Architectures for Automated Object Detection and Classification within X-ray Baggage Security Imagery,” IEEE Transactions on Information Forensics and Security, Oct. 2017, In Revision.
  • S. Alharbi, Chris G. Willcocks, P. T. Jackson, and B. Obara, “Sequential Graph-based Extraction of Prominent Curvilinear Structures,” Pattern Recognition, Oct. 2017, In Revision.
  • 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.

Journals (in preparation)

  • Chris G. Willcocks, J. Stonehouse, and B. Obara, “Deep Learning for Counterfeit Classification with Multi-Resolution Transfer Learning,” International Journal of Computer Vision,
    2018, In Preparation.
  • Chris G. Willcocks, S. Akcay, P. T. Jackson, and B. Obara, “Quantized Temporal Visualization of Deep Convolutional Neural Networks,” International Journal of Computer Vision, 2018, In Preparation.
  • 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 Preparation.
  • Chris G. Willcocks and B. Obara, “Subtle Attention with Wasserstein Generative Adversiaral Networks,” Foundations and Trends in Machine Learning, 2018, In Preparation.
  • Chris G. Willcocks and Boguslaw Obara, “Deep volumetric simulation of spiking neurons with locally optimized rewards,” IEEE Transactions on Pattern Analysis and Machine
    Intelligence, 2018, In Preparation.
  • A. V. Nasrulloh, Chris G. Willcocks, P. T. Jackson, and B. Obara, “Automatic 3D segmentation for measuring intraretinal cysts,” IEEE Transactions on Image Processing, 2018.

Conference Proceedings

  • 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.

Thesis

  • 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.