Department of Computer Science

Projects

RPBHealTec

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

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

Achievements

    Atif Riaz won the Three Minute Thesis competition held by City, University of London.
    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.

News

    Paper "Probabilistic Spatial Regression using a Deep Fully Convolutional Neural Network" accepted to BMVC 2017.
    Anfisa’s and Asad's PhD viva was successful.
    Anfisa Lazareva is now an employee of Mirada Medical Ltd.