Department of Computer Science



RPBHealTec is an EU-funded project to detect the presence and severity of defects in roadways. The system fuses data from multiple sensors, including Ground Penetrating Radar (GPR), Thermography, and Air-Coupled Ultrasound in addition to high-definition video. Intelligent software is used in data capture and analysis, to identify roadway defects including those under the surface.
  • Dates: 2014-16
  • Funder: EU
  • FEC: €1,534,720
  • Role: Project Coordinator / Principal Investigator

Optical Biopsy of Brain Lesions from Magnetic Resonance Images

This is a City University funded project to characterise brain lesions using magnetic resonance spectroscopy (MRS) and machine learning methods. From the MRS signal which encodes metabolite information, voxels are classified as normal, low-grade, or high-grade tumour. This work may have useful outcomes in analysis and treatment of brain tumours.
  • Dates: 2014-15
  • Funder: City University Pump Priming
  • FEC: £5,000
  • Role: Principal Investigator


CSPINE is an EPSRC-funded project to injury to the cervical spine (neck region) based on x-ray images. The CSPINE software semi-automatically identifies and localises fractured vertebrae and dislocations to help junior doctors make improved diagnoses.
  • Dates: 2013-14
  • Funder: Innovate UK
  • FEC: £124,000
  • Role: Principal Investigator


    Greg Slabaugh won the Research Student Supervision Award.
    The Computer Vision Group was awarded a Titan X Pascal GPU through NVidia’s GPU Grant Program.


    Anfisa’s PhD viva was successful, and will be making minor corrections to her thesis.
    Muhammad Asad’s PhD viva was successful, and will be making minor corrections to his thesis.
    Anfisa Lazareva is now an employee of Mirada Medical Ltd.
    Three papers accepted to SPIE Medical Imaging 2017, including Nathan's paper, "Pairwise Mixture Model for Unmixing Partial Volume Effect in Multi-voxel MR Spectroscopy of Brain Tumour Patients".