Dr Chris Willcocks
(email at email@example.com)
Chris Willcocks is an Assistant Professor in the Innovative Computing Group at the Department of Computer Science at Durham University. He is also a director and CTO of the Durham University research spinout company Intogral Limited. He has worked as a PDRA for Newcastle University, Durham University, and has been a visiting researcher at the Hong Kong University of Science and Technology.
His interdisciplinary research focuses on providing elegant solutions to computationally expensive or ill-defined problems within the fields of medical imaging computing (MIC), machine learning, high-performance computing, image processing, bioimage informatics and computer graphics. More information about his publications and software is available on www.cwkx.com and Github profile github.com/cwkx
Slides for cybersecurity and other material will appear on my webite as they're released.
- Intogral Limited - Innovate UK successful grant £211,996
- P&G (ongoing project with Deep Learning)
- DSTL - our team successfully competed against multiple companies for phase 2 funding for £850,000 shared with one other team)
- Intogral Limited (£211,996)
- Discretionary Award for exceptional contribution to research and collaborative projects (£1000)
- Research Day (2nd place prize for best presentation)
- Ustinov travel award
- NVIDIA Hardware Grant (£1000)
- EPSRC funded scholarship
- Unsupervised Learning
- Level Set Methods
- Big Data Analytics
- Image Processing
- GPGPU Computing
- Deep Learning
- Data Visualization
- Segmentation & Skeletonization
- HPC Computing
- 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.
- 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:
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.